ORCID Profile
0000-0001-6140-017X
Current Organisation
Western Sydney University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Electrical and Electronic Engineering | Artificial Intelligence and Image Processing | Computer-Human Interaction | Microelectronics and Integrated Circuits | Integrated Circuits | Virtual Reality And Related Simulation | Communications Technologies Not Elsewhere Classified | Sensory Processes, Perception And Performance | Circuits and Systems | Visual Arts And Crafts Not Elsewhere Classified | Other Electronic Engineering | Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience) | Neural networks | Fine Arts (Incl. Sculpture And Painting) | Neural Networks, Genetic Alogrithms And Fuzzy Logic | Medical Devices | Computer Perception, Memory And Attention | Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining | Nanoscale Characterisation | Signal Processing | Psychology | Film, Television and Digital Media | Central Nervous System | Other Cinema And Electronic Arts | Microelectronics | Electronics sensors and digital hardware | Nanoelectronics
ANZSRC Socio-Economic Objective (SEO)
Integrated systems | Integrated circuits and devices | Expanding Knowledge in Engineering | Communication equipment not elsewhere classified | Expanding Knowledge in Technology | Broadcasting | Information processing services | The creative arts | Combined operations | Voice equipment | Broadcasting equipment | Integrated Circuits and Devices | Health and Support Services not elsewhere classified | Computer equipment | Modules—special and attached processors | Communication services not elsewhere classified | Behavioural and cognitive sciences | Expanding Knowledge in the Information and Computing Sciences |
Related Links
Publications
FPGA Implementation of Particle Filters for Robotic Source Localization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks
Publisher: Elsevier BV
Date: 06-2021
Erratum: Wald's martingale and the conditional distributions of absorption time in the Moran process (Proc. R. Soc. A (2020) 476 (20200135) DOI: 10.1098/rspa.2020.0135)
Publisher: The Royal Society
Date: 10-2020
Suitability of the INPHAZE impedance analyzer for Bio-impedance and EIT
Publisher: IOP Publishing
Date: 04-2010
AER EAR: A Matched Silicon Cochlea Pair with Address Event Representation Interface
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2005
Calcium Imaging of AM Dyes Following Prolonged Incubation in Acute Neuronal Tissue
Publisher: Public Library of Science (PLoS)
Date: 16-05-2016
Silicon Cochlea Building Blocks
Publisher: Wiley
Date: 26-12-2014
Sound localisation with a silicon cochlea pair
Publisher: IEEE
Date: 04-2009
Wald’s martingale and the Moran process
Publisher: Cold Spring Harbor Laboratory
Date: 24-02-2020
DOI: 10.1101/2020.02.24.962407
Abstract: Many models of evolution are stochastic processes, where some quantity of interest fluctuates randomly in time. One classic ex le is the Moran birth-death process, where that quantity is the number of mutants in a population. In such processes we are often interested in their absorption (i.e. fixation) probabilities, and the conditional distributions of absorption time. Those conditional time distributions can be very difficult to calculate, even for relatively simple processes like the Moran birth-death model. Instead of considering the time to absorption, we consider a closely-related quantity: the number of mutant population size changes before absorption. We use Wald’s martingale to obtain the conditional characteristic functions of that quantity in the Moran process. Our expressions are novel, analytical, and exact. The parameter dependence of the characteristic functions is explicit, so it is easy to explore their properties in parameter space. We also use them to approximate the conditional characteristic functions of absorption time. We state the conditions under which that approximation is particularly accurate. Martingales are an elegant framework to solve principal problems of evolutionary stochastic processes. They do not require us to evaluate recursion relations, so we can quickly and tractably obtain absorption probabilities and times of evolutionary stochastic processes. The Moran process is a probabilistic birth-death model of evolution. A mutant is introduced to an indigenous population, and we randomly choose organisms to live or die on subsequent time steps. Our goals are to calculate the probabilities that the mutant eventually dominates the population or goes extinct, and the distribution of time it requires to do so. The conditional distributions of time are difficult to obtain for the Moran process, so we consider a slightly different but related problem. We instead calculate the conditional distributions of the number of times that the mutant population size changes before it dominates the population or goes extinct. We use a martingale identified by Abraham Wald to obtain elegant and exact expressions for those distributions. We then use them to approximate conditional time distributions, and we show when that approximation is accurate. Our analysis outlines the basic concepts martingales and demonstrates why they are a formidable tool for studying probabilistic evolutionary models such as the Moran process.
A pneumatic bionic voice prosthesis—pre-clinical trials of controlling the voice onset and offset
Publisher: Public Library of Science (PLoS)
Date: 21-02-2018
Learning the pseudoinverse solution to network weights
Publisher: Elsevier BV
Date: 09-2013
DOI: 10.1016/J.NEUNET.2013.02.008
Abstract: The last decade has seen the parallel emergence in computational neuroscience and machine learning of neural network structures which spread the input signal randomly to a higher dimensional space perform a nonlinear activation and then solve for a regression or classification output by means of a mathematical pseudoinverse operation. In the field of neuromorphic engineering, these methods are increasingly popular for synthesizing biologically plausible neural networks, but the "learning method"-computation of the pseudoinverse by singular value decomposition-is problematic both for biological plausibility and because it is not an online or an adaptive method. We present an online or incremental method of computing the pseudoinverse precisely, which we argue is biologically plausible as a learning method, and which can be made adaptable for non-stationary data streams. The method is significantly more memory-efficient than the conventional computation of pseudoinverses by singular value decomposition.
An analogue VLSI model of periodicity extraction in the human auditory system
Publisher: IEEE
Date: 1999
Spread spectrum EIT by code division multiplexing
Publisher: IOP Publishing
Date: 04-2010
Inference in spiking Bayesian neurons using stochastic computation
Publisher: IEEE
Date: 03-2017
Neuromorphic Engineering Needs Closed-Loop Benchmarks
Publisher: Frontiers Media SA
Date: 14-02-2022
DOI: 10.3389/FNINS.2022.813555
Abstract: Neuromorphic engineering aims to build (autonomous) systems by mimicking biological systems. It is motivated by the observation that biological organisms—from algae to primates—excel in sensing their environment, reacting promptly to their perils and opportunities. Furthermore, they do so more resiliently than our most advanced machines, at a fraction of the power consumption. It follows that the performance of neuromorphic systems should be evaluated in terms of real-time operation, power consumption, and resiliency to real-world perturbations and noise using task-relevant evaluation metrics. Yet, following in the footsteps of conventional machine learning, most neuromorphic benchmarks rely on recorded datasets that foster sensing accuracy as the primary measure for performance. Sensing accuracy is but an arbitrary proxy for the actual system's goal—taking a good decision in a timely manner. Moreover, static datasets hinder our ability to study and compare closed-loop sensing and control strategies that are central to survival for biological organisms. This article makes the case for a renewed focus on closed-loop benchmarks involving real-world tasks. Such benchmarks will be crucial in developing and progressing neuromorphic Intelligence. The shift towards dynamic real-world benchmarking tasks should usher in richer, more resilient, and robust artificially intelligent systems in the future.
Event-Based Object Detection and Tracking for Space Situational Awareness
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-12-2020
Low Power, CMOS-MoS2 Memtransistor based Neuromorphic Hybrid Architecture for Wake-Up Systems
Publisher: Springer Science and Business Media LLC
Date: 30-10-2019
DOI: 10.1038/S41598-019-51606-X
Abstract: Neuromorphic architectures have become essential building blocks for next-generation computational systems, where intelligence is embedded directly onto low power, small area, and computationally efficient hardware devices. In such devices, realization of neural algorithms requires storage of weights in digital memories, which is a bottleneck in terms of power and area. We hereby propose a biologically inspired low power, hybrid architectural framework for wake-up systems. This architecture utilizes our novel high-performance, ultra-low power molybdenum disulphide (MoS 2 ) based two-dimensional synaptic memtransistor as an analogue memory. Furthermore, it exploits random device mismatches to implement the population coding scheme. Power consumption per CMOS neuron block was found to be 3 nw in the 65 nm process technology, while the energy consumption per cycle was 0.3 pJ for potentiation and 20 pJ for depression cycles of the synaptic device. The proposed framework was demonstrated for classification and regression tasks, using both off-chip and simplified on-chip sign-based learning techniques.
Event-Based Computation for Touch Localization Based on Precise Spike Timing
Publisher: Frontiers Media SA
Date: 19-05-2020
Emergence of competitive control in a memristor-based neuromorphic circuit
Publisher: IEEE
Date: 06-0011
Analog VLSI model of periodicity extraction in the human auditory system
Publisher: Springer Science and Business Media LLC
Date: 2001
Temporal order detection and coding in nervous systems
Publisher: MIT Press - Journals
Date: 02-2013
DOI: 10.1162/NECO_A_00400
Abstract: This letter discusses temporal order coding and detection in nervous systems. Detection of temporal order in the external world is an adaptive function of nervous systems. In addition, coding based on the temporal order of signals can be used as an internal code. Such temporal order coding is a subset of temporal coding. We discuss two ex les of processing the temporal order of external events: the auditory location detection system in birds and the visual direction detection system in flies. We then discuss how somatosensory stimulus intensities are translated into a temporal order code in the human peripheral nervous system. We next turn our attention to input order coding in the mammalian cortex. We review work demonstrating the capabilities of cortical neurons for detecting input order. We then discuss research refuting and demonstrating the representation of stimulus features in the cortex by means of input order. After some general theoretical considerations on input order detection and coding, we conclude by discussing the existing and potential use of input order coding in neuromorphic engineering.
FPGA implementation of the CAR Model of the cochlea
Publisher: IEEE
Date: 06-2014
Martingales and the characteristic functions of absorption time on bipartite graphs
Publisher: The Royal Society
Date: 10-2021
DOI: 10.1098/RSOS.210657
Abstract: Evolutionary graph theory investigates how spatial constraints affect processes that model evolutionary selection, e.g. the Moran process. Its principal goals are to find the fixation probability and the conditional distributions of fixation time, and show how they are affected by different graphs that impose spatial constraints. Fixation probabilities have generated significant attention, but much less is known about the conditional time distributions, even for simple graphs. Those conditional time distributions are difficult to calculate, so we consider a close proxy to it: the number of times the mutant population size changes before absorption. We employ martingales to obtain the conditional characteristic functions (CCFs) of that proxy for the Moran process on the complete bipartite graph. We consider the Moran process on the complete bipartite graph as an absorbing random walk in two dimensions. We then extend Wald’s martingale approach to sequential analysis from one dimension to two. Our expressions for the CCFs are novel, compact, exact, and their parameter dependence is explicit. We show that our CCFs closely approximate those of absorption time. Martingales provide an elegant framework to solve principal problems of evolutionary graph theory. It should be possible to extend our analysis to more complex graphs than we show here.
An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation
Publisher: Frontiers Media SA
Date: 2013
Neuromorphic Silicon Neuron Circuits
Publisher: Frontiers Media SA
Date: 2011
The Design and Evaluation of an Economically Constructed Anechoic Chamber
Publisher: Informa UK Limited
Date: 12-2009
Towards true unipolar ECG recording without the Wilson central terminal (preliminary results)
Publisher: IOP Publishing
Date: 14-08-2013
DOI: 10.1088/0967-3334/34/9/991
Abstract: We present an innovative bio-potential front-end capable of recording true unipolar ECG leads for the first time without making use of the Wilson central terminal. In addition to the convenience in applications such as continuous monitoring and rapid diagnosis, the information in unipolar recordings may yield unique diagnostic information as it avoids the need to essentially subtract data or make use of the averaging effect imposed from the Wilson central terminal. The system also allows direct, real-time software calculation of signals corresponding to standard ECG leads which achieve correlations in excess of 92% with a gold standard ECG during a parallel in vivo recording. In addition, the implemented circuit is wideband (0.05-1000 Hz), compatible with standard (Ag/AgCl) bio-potential electrodes, and dry (paste-less) textile electrodes. The circuit is also low power, requiring less than 50 mW (when powered at 12 V) per standard ECG lead (two channels required). It is therefore well suited for wearable, long-term applications.
Bias current generators with wide dynamic range
Publisher: Springer Science and Business Media LLC
Date: 06-2005
An Optimized Deep Spiking Neural Network Architecture Without Gradients
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Investigating the implications of outer hair cell connectivity using a silicon cochlea
Publisher: IEEE
Date: 05-2010
Editorial
Publisher: Springer Science and Business Media LLC
Date: 18-06-2003
Acoustic holography with a concentric rigid and open spherical microphone array
Publisher: IEEE
Date: 04-2009
Low-power transcutaneous current stimulator for wearable applications
Publisher: Springer Science and Business Media LLC
Date: 03-10-2017
A compact aVLSI conductance-based silicon neuron
Publisher: IEEE
Date: 05-2015
Event Camera Simulator Improvements via Characterized Parameters
Publisher: Frontiers Media SA
Date: 27-07-2021
DOI: 10.3389/FNINS.2021.702765
Abstract: It has been more than two decades since the first neuromorphic Dynamic Vision Sensor (DVS) sensor was invented, and many subsequent prototypes have been built with a wide spectrum of applications in mind. Competing against state-of-the-art neural networks in terms of accuracy is difficult, although there are clear opportunities to outperform conventional approaches in terms of power consumption and processing speed. As neuromorphic sensors generate sparse data at the focal plane itself, they are inherently energy-efficient, data-driven, and fast. In this work, we present an extended DVS pixel simulator for neuromorphic benchmarks which simplifies the latency and the noise models. In addition, to more closely model the behaviour of a real pixel, the readout circuitry is modelled, as this can strongly affect the time precision of events in complex scenes. Using a dynamic variant of the MNIST dataset as a benchmarking task, we use this simulator to explore how the latency of the sensor allows it to outperform conventional sensors in terms of sensing speed.
Event-based Sensing for Space Situational Awareness
Publisher: Springer Science and Business Media LLC
Date: 03-01-2019
Online learning in Bayesian Spiking Neurons
Publisher: IEEE
Date: 06-2012
A log-domain implementation of the Izhikevich neuron model
Publisher: IEEE
Date: 05-2010
A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons
Publisher: IEEE
Date: 06-2014
Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems
Publisher: IEEE
Date: 07-2019
A point process approach to encode tactile afferents
Publisher: IEEE
Date: 04-2015
Electrode Circuits for Frequency- and Code-Division Multiplexed Impedance Tomography
Publisher: IEEE
Date: 11-2007
Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms
Publisher: IEEE
Date: 05-2010
A log-domain implementation of the Mihalas-Niebur neuron model
Publisher: IEEE
Date: 05-2010
Live demonstration: An FPGA-based emulation of an event-based vision sensor using commercially available camera
Publisher: IEEE
Date: 05-2021
An analogue VLSI implementation of polychronous spiking neural networks
Publisher: IEEE
Date: 12-2011
Building blocks for electronic spiking neural networks
Publisher: Elsevier BV
Date: 07-2001
DOI: 10.1016/S0893-6080(01)00067-3
Abstract: We present an electronic circuit modelling the spike generation process in the biological neuron. This simple circuit is capable of simulating the spiking behaviour of several different types of biological neurons. At the same time, the circuit is small so that many neurons can be implemented on a single silicon chip. This is important, as neural computation obtains its power not from a single neuron, but from the interaction between a large number of neurons. Circuits that model these interactions are also presented in this paper. They include the circuits for excitatory, inhibitory and shunting inhibitory synapses, a circuit which models the regeneration of spikes on the axon, and a circuit which models the reduction of input strength with the distance of the synapse to the cell body on the dendrite of the cell. Together these building blocks allow the implementation of electronic spiking neural networks.
Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
Publisher: Frontiers Media SA
Date: 19-12-2014
EMNIST: Extending MNIST to handwritten letters
Publisher: IEEE
Date: 05-2017
Convergence analysis of efficient online learning in Bayesian spiking neurons
Publisher: Springer Science and Business Media LLC
Date: 07-2012
Embedded implementation of a random feature detecting network for real-time classification of time-of-flight SPAD array recordings
Publisher: SPIE
Date: 02-05-2019
DOI: 10.1117/12.2517875
AER EAR: A matched silicon cochlea pair with address event representation interface
Publisher: IEEE
Date: 2005
Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal
Publisher: IEEE
Date: 08-2015
A comparison between compressed sensing algorithms in Electrical Impedance Tomography
Publisher: IEEE
Date: 08-2010
A method for measuring switching frequency using complex asynchronous logic circuits
Publisher: IEEE
Date: 12-2012
A two-neuron cross-correlation circuit with a wide and continuous range of time delay
Publisher: IEEE
Date: 05-2008
Vibrotactile sensitivity of patients with HIV-related sensory neuropathy: An exploratory study
Publisher: Wiley
Date: 18-12-2019
DOI: 10.1002/BRB3.1184
Implantable hearing interfaces
Publisher: Oxford University Press
Date: 21-06-2018
DOI: 10.1093/OSO/9780199674923.003.0054
Abstract: The chapter Implantable hearing interfaces describes the fundamental operation of a commonly available biohybrid system, the cochlear implant, or bionic ear. This neuro-stimulating biomedical implant is very successful in restoring hearing function to people with profound hearing loss. The fundamental operation of the biological cochlea is described and parallels are drawn between key aspects of the biological system and the biohybrid implementation: dynamic range compression, translation of sound to neural activity, and tonotopic mapping. Critical considerations are discussed for simultaneously meeting biological, surgical, and engineering restrictions in successful biohybrid systems design. Finally, challenges in present and future cochlear implants are outlined and directions of current research given.
A Neuroethics Framework for the Australian Brain Initiative
Publisher: Elsevier BV
Date: 02-2019
DOI: 10.1016/J.NEURON.2019.01.004
Abstract: Neuroethics is central to the Australian Brain Initiative's aim to sustain a thriving and responsible neurotechnology industry. Diverse and inclusive community and stakeholder engagement and a trans-disciplinary approach to neuroethics will be key to the success of the Australian Brain Initiative.
Benefit from spatial separation of multiple talkers in bilateral hearing-aid users: Effects of hearing loss, age, and cognition
Publisher: Informa UK Limited
Date: 2009
DOI: 10.3109/14992020903079332
Abstract: To study the spatial hearing abilities of bilateral hearing-aid users in multi-talker situations, 20 subjects received fittings configured to preserve acoustic cues salient for spatial hearing. Following acclimatization, speech reception thresholds (SRTs) were measured for three competing talkers that were either co-located or spatially separated along the front-back or left-right dimension. In addition, the subjects' working memory and attentional abilities were measured. Left-right SRTs varied over more than 14 dB, while front-back SRTs varied over more than 8 dB. Furthermore, significant correlations were observed between left-right SRTs, age, and low-frequency hearing loss, and also between front-back SRTs, age, and high-frequency aided thresholds. Concerning cognitive effects, left-right performance was most strongly related to attentional abilities, while front-back performance showed a relation to working memory abilities. Altogether, these results suggest that, due to raised hearing thresholds and aging, hearing-aid users have reduced access to interaural and monaural spatial cues as well as a diminished ability to 'enhance' a target signal by means of top-down processing. These deficits, in turn, lead to impaired functioning in complex listening environments.
Racing to learn: statistical inference and learning in a single spiking neuron with adaptive kernels
Publisher: Frontiers Media SA
Date: 25-11-2014
A silicon model of the inner hair cell
Publisher: IEEE
Date: 12-2011
A Scalable Architecture for Event-Based Cross-Correlation
Publisher: IEEE
Date: 11-2200
Erratum: A Neuroethics Framework for the Australian Brain Initiative (Neuron (2019) 101(3) (365–369), (S0896627319300054), (10.1016/j.neuron.2019.01.004))
Publisher: Elsevier BV
Date: 2020
A 2-D cochlea with Hopf oscillators
Publisher: IEEE
Date: 11-2007
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator
Publisher: Frontiers Media SA
Date: 10-04-2018
Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification
Publisher: IEEE
Date: 09-09-2021
A neuromorphic sound localizer for a smart MEMS system
Publisher: Springer Science and Business Media LLC
Date: 06-2200
The adaptation of spike backpropagation delays in cortical neurons
Publisher: Frontiers Media SA
Date: 2013
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing
Publisher: Frontiers Media SA
Date: 2013
A log-domain CMOS transcapacitor: design, analysis and applications
Publisher: Springer Science and Business Media LLC
Date: 2000
PSYCHOACOUSTIC EVALUATION OF DIFFERENT METHODS FOR CREATING INDIVIDUALIZED, HEADPHONE-PRESENTED VIRTUAL AUDITORY SPACE FROM B-FORMAT ROOM IMPULSE RESPONSES
Publisher: WORLD SCIENTIFIC
Date: 03-2011
Bayesian estimation and inference using stochastic electronics
Publisher: Frontiers Media SA
Date: 18-03-2016
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Wald's martingale and the conditional distributions of absorption time in the Moran process: Wald's martingale and the Moran process
Publisher: The Royal Society
Date: 09-2020
Abstract: Many models of evolution are stochastic processes, where some quantity of interest fluctuates randomly in time. One classic ex le is the Moranbirth–death process, where that quantity is the number of mutants in a population. In such processes, we are often interested in their absorption (i.e. fixation) probabilities and the conditional distributions of absorption time. Those conditional time distributions can be very difficult to calculate, even for relatively simple processes like the Moran birth–death model. Instead of considering the time to absorption, we consider a closely related quantity: the number of mutant population size changes before absorption. We use Wald’s martingale to obtain the conditional characteristic functions of that quantity in the Moran process. Our expressions are novel, analytical and exact, and their parameter dependence is explicit. We use our results to approximate the conditional characteristic functions of absorption time. We state the conditions under which that approximation is particularly accurate. Martingales are an elegant framework to solve principal problems of evolutionary stochastic processes. They do not require us to evaluate recursion relations, so when they are applicable, we can quickly and tractably obtain absorption probabilities and times of evolutionary models.
Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Spiking Neural Network-based Auto-associative Memory Using FPGA Interconnect Delays
Publisher: IEEE
Date: 12-2011
Live demonstration: The self-tuned regenerative electromechanical parametric amplifier
Publisher: IEEE
Date: 05-2010
The Bayesian decoding of force stimuli from slowly adapting type I fibers in humans
Publisher: Public Library of Science (PLoS)
Date: 14-04-2016
A Stochastic Approach to STDP
Publisher: IEEE
Date: 05-2016
A 0.3mm2 10-b 100MS/s pipelined ADC using Nauta structure op-amps in 180nm CMOS
Publisher: IEEE
Date: 05-2013
Invasion of the alveolar-capillary barrier byAspergillusspp.: therapeutic and diagnostic implications for immunocompromised patients with invasive pulmonary aspergillosis
Publisher: Oxford University Press (OUP)
Date: 2009
DOI: 10.1080/13693780802510232
Abstract: Aspergillus spp. are leading causes of morbidity and mortality in immunocompromised patients. This review provides an overview of host defenses, the mechanisms by which the alveolar-capillary barrier is breeched by Aspergillus, and the implications for diagnosis and treatment of patients with invasive pulmonary aspergillosis.
The Self-Tuned Regenerative Electromechanical Parametric Amplifier: A Model for Active Amplification in the Cochlea
Publisher: IEEE
Date: 05-2010
A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair
Publisher: MDPI AG
Date: 08-02-2021
DOI: 10.3390/APP11041519
Abstract: We present a biologically inspired sound localisation system for reverberant environments using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The system exploits a CAR-FAC pair to pre-process binaural signals that travel through the inherent delay line of the cascade structures, as each filter acts as a delay unit. Following the filtering, each cochlear channel is cross-correlated with all the channels of the other cochlea using a quantised instantaneous correlation function to form a 2-D instantaneous correlation matrix (correlogram). The correlogram contains both interaural time difference and spectral information. The generated correlograms are analysed using a regression neural network for localisation. We investigate the effect of the CAR-FAC nonlinearity on the system performance by comparing it with a CAR only version. To verify that the CAR/CAR-FAC and the quantised instantaneous correlation provide a suitable basis with which to perform sound localisation tasks, a linear regression, an extreme learning machine, and a convolutional neural network are trained to learn the azimuthal angle of the sound source from the correlogram. The system is evaluated using speech data recorded in a reverberant environment. We compare the performance of the linear CAR and nonlinear CAR-FAC models with current sound localisation systems as well as with human performance.
Unipolar ECG circuits: Towards more precise cardiac event identification
Publisher: IEEE
Date: 05-2013
Martingales and the fixation time of evolutionary graphs with arbitrary dimensionality
Publisher: The Royal Society
Date: 05-2022
DOI: 10.1098/RSOS.220011
Abstract: Evolutionary graph theory (EGT) investigates the Moran birth–death process constrained by graphs. Its two principal goals are to find the fixation probability and time for some initial population of mutants on the graph. The fixation probability of graphs has received considerable attention. Less is known about the distribution of fixation time. We derive clean, exact expressions for the full conditional characteristic functions (CCFs) of a close proxy to fixation and extinction times. That proxy is the number of times that the mutant population size changes before fixation or extinction. We derive these CCFs from a product martingale that we identify for an evolutionary graph with any number of partitions. The existence of that martingale only requires that the connections between those partitions are of a certain type. Our results are the first expressions for the CCFs of any proxy to fixation time on a graph with any number of partitions. The parameter dependence of our CCFs is explicit, so we can explore how they depend on graph structure. Martingales are a powerful approach to study principal problems of EGT. Their applicability is invariant to the number of partitions in a graph, so we can study entire families of graphs simultaneously.
Live demonstration: FPGA implementation of the CAR model of the cochlea
Publisher: IEEE
Date: 06-2014
Astrocytic modulation of cortical oscillations
Publisher: Springer Science and Business Media LLC
Date: 08-2018
DOI: 10.1038/S41598-018-30003-W
Abstract: Brain waves are rhythmic voltage oscillations emerging from the synchronization of in idual neurons into a neuronal network. These oscillations range from slow to fast fluctuations, and are classified by power and frequency band, with different frequency bands being associated with specific behaviours. It has been postulated that at least ten distinct mechanisms are required to cover the frequency range of neural oscillations, however the mechanisms that gear the transition between distinct oscillatory frequencies are unknown. In this study, we have used electrophysiological recordings to explore the involvement of astrocytic K + clearance processes in modulating neural oscillations at both network and cellular levels. Our results indicate that impairment of astrocytic K + clearance capabilities, either through blockade of K + uptake or astrocytic connectivity, enhance network excitability and form high power network oscillations over a wide range of frequencies. At the cellular level, local increases in extracellular K + results in modulation of the oscillatory behaviour of in idual neurons, which underlies the network behaviour. Since astrocytes are central for maintaining K + homeostasis, our study suggests that modulation of their inherent capabilities to clear K + from the extracellular milieu is a potential mechanism to optimise neural resonance behaviour and thus tune neural oscillations.
Adaptive Sound Localisation with a Silicon Cochlea Pair
Publisher: Frontiers Media SA
Date: 2010
Online and adaptive pseudoinverse solutions for ELM weights
Publisher: Elsevier BV
Date: 02-2015
A new EEG recording system for passive dry electrodes
Publisher: Elsevier BV
Date: 05-2010
DOI: 10.1016/J.CLINPH.2009.12.025
Abstract: We present a new, low power EEG recording system with an ultra-high input impedance that enables the use of long-lasting, passive dry electrodes. It incorporates Bluetooth wireless connectivity and is designed to be suitable for long-term monitoring during daily activities. The new EEG system is compared to a standard and clinically available reference EEG system using wet electrodes in three separate sets of experiments. In the first two experiments, each dry electrode was surrounded by four standard wet electrodes and the alpha and mu-rhythms were recorded. In the third experiment, serial monopolar (referred to the left ear) recordings of flash visual evoked potential were performed using the new EEG system and a reference system. These experiments showed that the signal recorded using the new EEG system is almost identical to that recorded with standard clinical EEG equipment our measurements showed that the correlation coefficient between the dry electrode recordings and the average of the four standard electrodes surrounding each dry electrode is greater than 0.85. We conclude that the new EEG system performs similarly to reference EEG systems, while providing the advantages of portability, ease of application and minimal scalp preparation. The proposed system using passive dry electrodes suitable for single use while performing as good as standard EEG equipment provides ease of application and minimal scalp preparation.
A 2-D silicon cochlea with an improved automatic quality factor control-loop
Publisher: IEEE
Date: 05-2008
An Analogue VLSI Implementation of the Meddis Inner Hair Cell Model
Publisher: Springer Science and Business Media LLC
Date: 18-06-2003
Self-tuned regenerative amplification and the Hopf bifurcation
Publisher: IEEE
Date: 05-2008
Pseudo-voltage domain implementation of a 2-dimensional silicon cochlea
Publisher: IEEE
Date: 2001
CAR-Lite: A Multi-Rate Cochlea Model on FPGA
Publisher: IEEE
Date: 2018
Star Tracking Using an Event Camera
Publisher: IEEE
Date: 06-2019
An FPGA design framework for large-scale spiking neural networks
Publisher: IEEE
Date: 06-2014
Skimming Digits: Neuromorphic Classification of Spike-Encoded Images
Publisher: Frontiers Media SA
Date: 28-04-2016
A 1.2V 2-bit phase interpolator for 65nm CMOS
Publisher: IEEE
Date: 05-2012
A generalised conductance-based silicon neuron for large-scale spiking neural networks
Publisher: IEEE
Date: 06-2014
A digital to transconductance converter for nauta structure op-amps in 65nm CMOS
Publisher: IEEE
Date: 08-2014
Localization in speech mixtures by listeners with hearing loss
Publisher: Acoustical Society of America (ASA)
Date: 20-04-2011
DOI: 10.1121/1.3571534
Abstract: The ability of listeners with bilateral sensorineural hearing loss to localize a speech source in a multitalker mixture was measured. Five simultaneous words spoken by different talkers were presented over loudspeakers in a small room, and listeners localized one target word. Errors were significantly larger in this group compared to a control group with normal hearing. Localization of the target presented alone was not different between groups. The results suggest that hearing loss does not impair spatial hearing per se, but degrades the spatial representation of multiple simultaneous sounds.
Mobile biomedical sensing with dry electrodes
Publisher: IEEE
Date: 12-2008
A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database
Publisher: IEEE
Date: 04-2015
Event-Based Processing of Single Photon Avalanche Diode Sensors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2020
Feasibility of electrical impedance tomography in haemorrhagic stroke treatment using adaptive mesh
Publisher: IOP Publishing
Date: 04-2010
Extending the viability of acute brain slices
Publisher: Springer Science and Business Media LLC
Date: 16-06-2014
DOI: 10.1038/SREP05309
Asynchronous Binaural Spatial Audition Sensor With 2<formula formulatype=inline><tex Notation=TeX>$\,\times\,$</tex></formula>64<formula formulatype=inline><tex
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Rapid Inference of Geographical Location with an Event-based Electronic Nose
Publisher: ACM
Date: 28-03-2022
Approximate, computationally efficient online learning in bayesian spiking neurons.
Publisher: MIT Press - Journals
Date: 03-2014
DOI: 10.1162/NECO_A_00560
Abstract: Bayesian spiking neurons (BSNs) provide a probabilistic interpretation of how neurons perform inference and learning. Online learning in BSNs typically involves parameter estimation based on maximum-likelihood expectation-maximization (ML-EM) which is computationally slow and limits the potential of studying networks of BSNs. An online learning algorithm, fast learning (FL), is presented that is more computationally efficient than the benchmark ML-EM for a fixed number of time steps as the number of inputs to a BSN increases (e.g., 16.5 times faster run times for 20 inputs). Although ML-EM appears to converge 2.0 to 3.6 times faster than FL, the computational cost of ML-EM means that ML-EM takes longer to simulate to convergence than FL. FL also provides reasonable convergence performance that is robust to initialization of parameter estimates that are far from the true parameter values. However, parameter estimation depends on the range of true parameter values. Nevertheless, for a physiologically meaningful range of parameter values, FL gives very good average estimation accuracy, despite its approximate nature. The FL algorithm therefore provides an efficient tool, complementary to ML-EM, for exploring BSN networks in more detail in order to better understand their biological relevance. Moreover, the simplicity of the FL algorithm means it can be easily implemented in neuromorphic VLSI such that one can take advantage of the energy-efficient spike coding of BSNs.
An address-event vision sensor for multiple transient object detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
A compact neural core for digital implementation of the Neural Engineering Framework
Publisher: IEEE
Date: 10-2014
Measuring the impedance of a tethered bilayer membrane biosensor
Publisher: IEEE
Date: 2008
Symbolic analysis of the Tau Cell log-domain filter using affine MOSFET models
Publisher: IEEE
Date: 12-2010
Silicon Implementation of the Generalized Integrate-and-Fire Neuron Model
Publisher: IEEE
Date: 12-2011
Superevents: Towards native semantic segmentation for event-based cameras
Publisher: ACM
Date: 27-07-2021
Investigation of event-based surfaces for high-speed detection, unsupervised feature extraction, and object recognition
Publisher: Frontiers Media SA
Date: 17-01-2019
Breaking Liebig's law: An advanced multipurpose neuromorphic engine
Publisher: Frontiers Media SA
Date: 29-08-2018
Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing
Publisher: Springer Science and Business Media LLC
Date: 2012
Neuromorphic audio-visual sensor fusion on a sound-localizing robot
Publisher: Frontiers Media SA
Date: 2012
Active electrode design suitable for simultaneous EIT and EEG
Publisher: Institution of Engineering and Technology (IET)
Date: 06-12-2012
DOI: 10.1049/EL.2012.3212
Measured and theoretical performance comparison of a co-centred rigid and open spherical microphone array
Publisher: IEEE
Date: 07-2008
Time domain reconstruction of spatial sound fields using compressed sensing
Publisher: IEEE
Date: 05-2011
Comparison of the measured and theoretical performance of a broadband circular microphone array
Publisher: Acoustical Society of America (ASA)
Date: 12-2011
DOI: 10.1121/1.3658443
Abstract: The design and construction of a circular microphone array (CMA) that has a wide frequency range suitable for human hearing is presented. The design of the CMA was achieved using a technique based on simulated directivity index (DI) curves. The simulated DI curves encapsulate the critical microphone array performance limitations: spatial aliasing, measurement noise, and microphone placement errors. This paper demonstrates how the non-regularized DI curves for a given beamforming order clearly define the bandwidth of operation, in other words, the frequency band for which the beamformer has relatively constant and maximum directivity. Detailed and comprehensive experimental data that characterizes the CMA beamformer are also presented.
Corrigendum: Large-scale neuromorphic spiking array processors: A quest to mimic the brain (Frontiers in Neuroscience (2018) 12 (891) DOI: 10.3389/fnins.2018.00891)
Publisher: Frontiers Media SA
Date: 07-01-2019
The ripple pond: Enabling spiking networks to see
Publisher: Frontiers Media SA
Date: 2013
A FPGA implementation of the CAR-FAC cochlear model
Publisher: Frontiers Media SA
Date: 10-04-2018
A psychophysical evaluation of near-field head-related transfer functions synthesized using a distance variation function
Publisher: Acoustical Society of America (ASA)
Date: 04-2009
DOI: 10.1121/1.3081395
Abstract: A method for synthesizing near-field head-related transfer functions (HRTFs) from far-field HRTFs measured using an acoustic point-source of sound is presented. Near-field HRTFs are synthesized by applying an analytic function describing the change in the transfer function when the location of a sound source changes from the far-field to the near-field: the distance variation function (DVF). The DVF is calculated from a rigid sphere model and approximates the change in the frequency-dependent interaural level cues as a function of the change in sound source distance. Using a sound localization experiment, the fidelity of the near-field virtual auditory space (VAS) generated using this technique is compared to that obtained by simply adjusting the intensity of the VAS stimulus to simulate changes in distance. Results show improved distance perception for sounds at simulated distances of up to 60cm using the DVF compared to simple intensity adjustment, while maintaining directional accuracy. The largest improvement for distance perception were for sound sources located to the side and within 40cm. When intensity was removed as a cue for sound source distance from near-field sounds generated using the DVF, results showed some discrimination of sound source distances but, in general, distance perception accuracy was poor.
Estimating a sound signal in a known direction from a soundfield microphone recording
Publisher: IEEE
Date: 07-2008
Investigating the role of combined acoustic-visual feedback in one-dimensional synchronous brain computer interfaces, a preliminary study
Publisher: Informa UK Limited
Date: 09-2012
DOI: 10.2147/MDER.S36691
Creating the Sydney York Morphological and Acoustic Recordings of Ears Database
Publisher: IEEE
Date: 07-2014
DOI: 10.1109/ICME.2012.93
Giga-ohm high-impedance fet input amplifiers for dry electrode biosensor circuits and systems
Publisher: CRC Press
Date: 19-12-2017
DOI: 10.1201/B11205
Dry electrode bio-potential recordings
Publisher: IEEE
Date: 08-2010
An improved aVLSI axon with programmable delay using spike timing dependent delay plasticity
Publisher: IEEE
Date: 05-2013
Stochastic electronics: A neuro-inspired design paradigm for integrated circuits
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
An Analogue VLSI Model of Active Cochlea
Publisher: Springer US
Date: 1998
A neuromorphic hardware framework based on population coding
Publisher: IEEE
Date: 07-2015
An analogue electronic model of Ventral Cochlear Nucleus neurons
Publisher: IEEE Comput. Soc. Press
Date: 1996
Analog very large-scale integrated (VLSI) implementation of a model of amplitude-modulation sensitivity in the auditory brainstem
Publisher: Acoustical Society of America (ASA)
Date: 07-2001
DOI: 10.1121/1.426270
Abstract: An analog very large-scale integrated (VLSI) implementation of a model of signal processing in the auditory brainstem is presented and evaluated. The implementation is based on a model of litude-modulation sensitivity in the central nucleus of the inferior colliculus (CNIC) previously described by [J. Acoust. Soc. Am. 95, 2145–2159 (1994)]. A single chip is used to implement the three processing stages of the model the inner-hair cell (IHC), cochlear nucleus sustained-chopper, and CNIC coincidence-detection stages. The chip incorporates two new circuits: an IHC circuit and a neuron circuit. The input to the chip is taken from a “silicon cochlea” consisting of a cascade of filters that simulate basilar membrane mechanical frequency selectivity. The chip which contains 142 neurons was evaluated using litude-modulated pure tones. In idual cells in the CNIC stage demonstrate bandpass rate-modulation responses using these stimuli. The frequency of modulation is represented spatially in an array of these cells as the location of the cell generating the highest rate of action potentials. The chip processes acoustic signals in real time and demonstrates the feasibility of using analog VLSI to build and test auditory models that use large numbers of component neurons.
The role of high frequencies in speech localization
Publisher: Acoustical Society of America (ASA)
Date: 07-2005
DOI: 10.1121/1.1926107
Abstract: This study measured the accuracy with which human listeners can localize spoken words. A broadband (300Hz–16kHz) corpus of monosyllabic words was created and presented to listeners using a virtual auditory environment. Localization was examined for 76 locations on a sphere surrounding the listener. Experiment 1 showed that low-pass filtering the speech sounds at 8kHz degraded performance, causing an increase in polar angle errors associated with the cone of confusion. In experiment 2 it was found that performance in fact varied systematically with the level of the signal above 8kHz. Although the lower frequencies (below 8kHz) are known to be sufficient for accurate speech recognition in most situations, these results demonstrate that natural speech contains information between 8 and 16kHz that is essential for accurate localization.
An ultra-high input impedance ECG amplifier for long-term monitoring of athletes
Publisher: Informa UK Limited
Date: 07-2010
DOI: 10.2147/MDER.S9321
Noise-robust text-dependent speaker identification using cochlear models
Publisher: Acoustical Society of America (ASA)
Date: 2022
DOI: 10.1121/10.0009314
Abstract: One challenging issue in speaker identification (SID) is to achieve noise-robust performance. Humans can accurately identify speakers, even in noisy environments. We can leverage our knowledge of the function and anatomy of the human auditory pathway to design SID systems that achieve better noise-robust performance than conventional approaches. We propose a text-dependent SID system based on a real-time cochlear model called cascade of asymmetric resonators with fast-acting compression (CARFAC). We investigate the SID performance of CARFAC on signals corrupted by noise of various types and levels. We compare its performance with conventional auditory feature generators including mel-frequency cepstrum coefficients, frequency domain linear predictions, as well as another biologically inspired model called the auditory nerve model. We show that CARFAC outperforms other approaches when signals are corrupted by noise. Our results are consistent across datasets, types and levels of noise, different speaking speeds, and back-end classifiers. We show that the noise-robust SID performance of CARFAC is largely due to its nonlinear processing of auditory input signals. Presumably, the human auditory system achieves noise-robust performance via inherent nonlinearities as well.
A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals
Publisher: MIT Press - Journals
Date: 06-2009
DOI: 10.1162/NECO.2009.06-07-548
Abstract: We present a first-order nonhomogeneous Markov model for the interspike-interval density of a continuously stimulated spiking neuron. The model allows the conditional interspike-interval density and the stationary interspike-interval density to be expressed as products of two separate functions, one of which describes only the neuron characteristics and the other of which describes only the signal characteristics. The approximation shows particularly clearly that signal autocorrelations and cross-correlations arise as natural features of the interspike-interval density and are particularly clear for small signals and moderate noise. We show that this model simplifies the design of spiking neuron cross-correlation systems and describe a four-neuron mutual inhibition network that generates a cross-correlation output for two input signals.
Towards true unipolar bio-potential recording: a preliminary result for ECG
Publisher: IOP Publishing
Date: 10-1970
Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
CAR-Lite: A Multi-Rate Cochlear Model on FPGA for Spike-Based Sound Encoding
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
L1 regularization method in electrical impedance tomography by using the L1-curve (Pareto frontier curve)
Publisher: Elsevier BV
Date: 03-2012
An empirical evaluation of a two-dimensional second-order sound field recording and reproduction system
Publisher: IEEE
Date: 07-2008
An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation
Publisher: IEEE
Date: 05-2012
Neuromorphic Engineering Systems and Applications
Publisher: Frontiers Media SA
Date: 2015
Creating the sydney york morphological and acoustic recordings of ears database
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Measurement of perception thresholds for electrical noise stimuli
Publisher: IEEE
Date: 07-2017
An asynchronous parallel neuromorphic ADC architecture
Publisher: IEEE
Date: 05-2012
Silicon Models of the Auditory Pathway
Publisher: Springer US
Date: 2010
Code division multiplexed electrical impedance tomography spectroscopy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2009
FPGA implementation of biologically-inspired auto-associative memory
Publisher: Institution of Engineering and Technology (IET)
Date: 2012
DOI: 10.1049/EL.2011.3651
A comparison of measured and theoretical performance of a co-centred rigid and open spherical microphone array
Publisher: Acoustical Society of America (ASA)
Date: 05-2008
DOI: 10.1121/1.2932594
Abstract: We present a comparison of the measured and theoretical performance of a dual co-centred spherical microphone array that consists of an open spherical microphone array with a smaller, rigid spherical microphone array at its centre. The dual co-centred spherical microphone array has 64 microphones, with 32 microphones on the open spherical microphone array of radius 6.30 cm and 32 microphones on the rigid spherical microphone array of radius 1.63 cm. We have previously shown [1] that this even distribution of microphones, between the two spherical microphone arrays, provides a greater frequency range of operation for a third-order, 64-channel spherical microphone array compared to a single rigid 64-channel spherical array. The performance of the dual co-centred spherical microphone array is measured in an anechoic chamber using a speaker mounted on a robotic arm. A comparison is made between the theoretical and measured directivity pattern for various frequencies. [1] A. Parthy, C. Jin, and A. van Schaik "Optimisation of Co-centred Rigid and Open Spherical Microphone Arrays," in Proc. of 120th Audio Engineering Convention, Paris, France, May 20-23, 2006.
Separation of concurrent broadband sound sources by human listeners
Publisher: Acoustical Society of America (ASA)
Date: 31-12-2004
DOI: 10.1121/1.1632484
Abstract: The effect of spatial separation on the ability of human listeners to resolve a pair of concurrent broadband sounds was examined. Stimuli were presented in a virtual auditory environment using in idualized outer ear filter functions. Subjects were presented with two simultaneous noise bursts that were either spatially coincident or separated (horizontally or vertically), and responded as to whether they perceived one or two source locations. Testing was carried out at five reference locations on the audiovisual horizon (0°, 22.5°, 45°, 67.5°, and 90° azimuth). Results from experiment 1 showed that at more lateral locations, a larger horizontal separation was required for the perception of two sounds. The reverse was true for vertical separation. Furthermore, it was observed that subjects were unable to separate stimulus pairs if they delivered the same interaural differences in time (ITD) and level (ILD). These findings suggested that the auditory system exploited differences in one or both of the binaural cues to resolve the sources, and could not use monaural spectral cues effectively for the task. In experiments 2 and 3, separation of concurrent noise sources was examined upon removal of low-frequency content (and ITDs), onset/offset ITDs, both of these in conjunction, and all ITD information. While onset and offset ITDs did not appear to play a major role, differences in ongoing ITDs were robust cues for separation under these conditions, including those in the envelopes of high-frequency channels.
Improving the directivity of a Soundfield microphone using least-squares estimation
Publisher: Acoustical Society of America (ASA)
Date: 05-2008
DOI: 10.1121/1.2932593
Abstract: Faller [1] has recently shown that highly directive microphone systems can be obtained using coincident microphones and appropriate signal processing to separate direct and ambient sound. We apply this approach to a Soundfield microphone in which coincident virtual first-order microphone patterns pointing in any direction are available. The variation with our approach is that we apply a specific gain pattern across a set of coincident cardiod or hypercardiod microphones to determine the pick-up direction. A least-squares estimate is made of the spectrum of the on-axis sound. We empirically investigate the performance of this directive microphone technique. [1] C. Faller, "A highly directive 2-capsule based microphone system," in Proc. of 123rd Audio Engineering Convention, New York, U.S.A., October 5-8, 2007.
Event-Based Feature Extraction Using Adaptive Selection Thresholds
Publisher: MDPI AG
Date: 13-03-2020
DOI: 10.3390/S20061600
Abstract: Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed for the purpose, such algorithms typically require significant simplification during implementation to meet hardware constraints, creating trade offs with performance. Furthermore, conventional feature extraction algorithms are not designed to generate useful intermediary signals which are valuable only in the context of neuromorphic hardware limitations. In this work a novel event-based feature extraction method is proposed that focuses on these issues. The algorithm operates via simple adaptive selection thresholds which allow a simpler implementation of network homeostasis than previous works by trading off a small amount of information loss in the form of missed events that fall outside the selection thresholds. The behavior of the selection thresholds and the output of the network as a whole are shown to provide uniquely useful signals indicating network weight convergence without the need to access network weights. A novel heuristic method for network size selection is proposed which makes use of noise events and their feature representations. The use of selection thresholds is shown to produce network activation patterns that predict classification accuracy allowing rapid evaluation and optimization of system parameters without the need to run back-end classifiers. The feature extraction method is tested on both the N-MNIST (Neuromorphic-MNIST) benchmarking dataset and a dataset of airplanes passing through the field of view. Multiple configurations with different classifiers are tested with the results quantifying the resultant performance gains at each processing stage.
A review of control strategies in closed-loop neuroprosthetic systems
Publisher: Frontiers Media SA
Date: 12-07-2016
A mixed-signal implementation of a polychronous spiking neural network with delay adaptation
Publisher: Frontiers Media SA
Date: 18-03-2014
A reconfigurable mixed-signal implementation of a neuromorphic ADC
Publisher: IEEE
Date: 10-2015
Advances in Machine Learning and Deep Neural Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Decoding force from multiunit recordings from the median nerve
Publisher: IEEE
Date: 08-2015
An Analogue Neuromorphic Co-Processor That Utilizes Device Mismatch for Learning Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
An SRAM-based implementation of a convolutional neural network
Publisher: IEEE
Date: 10-2016
Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'Extreme learning machine' algorithm
Publisher: Public Library of Science (PLoS)
Date: 11-08-2015
Real-Time Event-Based Unsupervised Feature Consolidation and Tracking for Space Situational Awareness
Publisher: Frontiers Media SA
Date: 06-05-2022
DOI: 10.3389/FNINS.2022.821157
Abstract: Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems that support the international community's national, commercial and defence interests. This resource is rapidly becoming depleted with over-crowding in high demand orbital slots and a growing presence of space debris. We propose the Fast Iterative Extraction of Salient targets for Tracking Asynchronously (FIESTA) algorithm as a robust, real-time and reactive approach to optical Space Situational Awareness (SSA) using Event-Based Cameras (EBCs) to detect, localize, and track Resident Space Objects (RSOs) accurately and timely. We address the challenges of the asynchronous nature and high temporal resolution output of the EBC accurately, unsupervised and with few tune-able parameters using concepts established in the neuromorphic and conventional tracking literature. We show this algorithm is capable of highly accurate in-frame RSO velocity estimation and average sub-pixel localization in a simulated test environment to distinguish the capabilities of the EBC and optical setup from the proposed tracking system. This work is a fundamental step toward accurate end-to-end real-time optical event-based SSA, and developing the foundation for robust closed-form tracking evaluated using standardized tracking metrics.
A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Electronic cochlea: CAR-FAC model on FPGA
Publisher: IEEE
Date: 10-2016
An Active 2-D Silicon Cochlea
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2008
A mobile EEG system with dry electrodes
Publisher: IEEE
Date: 11-2008
A programmable axonal propagation delay circuit for time-delay spiking neural networks
Publisher: IEEE
Date: 05-2011
ELM Solutions for Event-Based Systems
Publisher: Elsevier BV
Date: 02-2013
A Machine Hearing System for Binaural Sound Localization based on Instantaneous Correlation
Publisher: IEEE
Date: 2018
Prolonged incubation of acute neuronal tissue for electrophysiology and calcium-imaging
Publisher: MyJove Corporation
Date: 15-02-2017
DOI: 10.3791/55396
Spatial and Temporal Downsampling in Event-Based Visual Classification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
Publisher: Frontiers Media SA
Date: 03-12-2018
Analogue VLSI implementations of two dimensional, nonlinear, active cochlea models
Publisher: IEEE
Date: 2008
A binaural sound localization system using deep convolutional neural networks
Publisher: IEEE
Date: 05-2019
A CMOS motion detector system for pointing devices
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1996
DOI: 10.1109/4.545813
The integration of acoustical cues during human sound localisation of band-pass filtered noise
Publisher: IEEE
Date: 1999
Contrasting monaural and interaural spectral cues for human sound localization
Publisher: Acoustical Society of America (ASA)
Date: 06-2004
DOI: 10.1121/1.1736649
Abstract: A human psychoacoustical experiment is described that investigates the role of the monaural and interaural spectral cues in human sound localization. In particular, it focuses on the relative contribution of the monaural versus the interaural spectral cues towards resolving directions within a cone of confusion (i.e., directions with similar interaural time and level difference cues) in the auditory localization process. Broadband stimuli were presented in virtual space from 76 roughly equidistant locations around the listener. In the experimental conditions, a “false” flat spectrum was presented at the left eardrum. The sound spectrum at the right eardrum was then adjusted so that either the true right monaural spectrum or the true interaural spectrum was preserved. In both cases, the overall interaural time difference and overall interaural level difference were maintained at their natural values. With these virtual sound stimuli, the sound localization performance of four human subjects was examined. The localization performance results indicate that neither the preserved interaural spectral difference cue nor the preserved right monaural spectral cue was sufficient to maintain accurate elevation judgments in the presence of a flat monaural spectrum at the left eardrum. An explanation for the localization results is given in terms of the relative spectral information available for resolving directions within a cone of confusion.
Related Organisations
Centre Suisse D'Electronique Et De Microtechnique SA
Location: Switzerland
Related Funding Activities
Discovery Projects - Grant ID: DP0343654
Start Date: 2003
End Date: 12-2007
Amount: $296,534.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0881219
Start Date: 01-2008
End Date: 06-2014
Amount: $645,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP140103001
Start Date: 2014
End Date: 12-2017
Amount: $430,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100200275
Start Date: 07-2010
End Date: 07-2015
Amount: $160,014.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP180100504
Start Date: 06-2018
End Date: 05-2021
Amount: $402,984.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0669163
Start Date: 03-2007
End Date: 12-2010
Amount: $519,265.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0663330
Start Date: 2006
End Date: 09-2011
Amount: $580,000.00
Funder: Australian Research Council
View Funded ActivityLinkage - International - Grant ID: LX0454449
Start Date: 03-2005
End Date: 02-2007
Amount: $25,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0344684
Start Date: 04-2003
End Date: 03-2006
Amount: $289,437.00
Funder: Australian Research Council
View Funded ActivitySpecial Research Initiatives - Grant ID: SR0354735
Start Date: 2003
End Date: 12-2003
Amount: $10,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE230100034
Start Date: 2023
End Date: 12-2023
Amount: $1,465,519.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Training Centres - Grant ID: IC170100030
Start Date: 06-2018
End Date: 12-2024
Amount: $4,133,659.00
Funder: Australian Research Council
View Funded ActivitySpecial Research Initiatives - Grant ID: SR0354596
Start Date: 01-2004
End Date: 11-2004
Amount: $20,000.00
Funder: Australian Research Council
View Funded Activity