Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Aut ....Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be used to teach groups of spiking neurons the differences between sequences of events by adjusting connections between them. The significance of this approach is that it captures information about timing that is missed in existing techniques.Read moreRead less
Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information abou ....Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information about timing that is missed in existing techniques. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role.Read moreRead less
Temporal Pattern Learning and Recognition in Neural Systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of how neural systems learn patterns that change with time, which is at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of automatic speech processing, robotics, machine learning and intelligent systems, all with applications in areas of economic impo ....Temporal Pattern Learning and Recognition in Neural Systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of how neural systems learn patterns that change with time, which is at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of automatic speech processing, robotics, machine learning and intelligent systems, all with applications in areas of economic importance. Application to cochlear implant speech processing will provide benefit for the hearing impaired. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base into the future.Read moreRead less
Bio-inspired speech analysis: Specialised information processing of vocalisations in the auditory brainstem. This project has the potential to benefit bionic ear and hearing aid users through the development of signal processing methods that mimic the amazing abilities of the brain. Speech perception performance by bionic ear users has reached a plateau and these new strategies could produce the breakthrough needed to provide the next increase in performance. The benefit for greater improved hea ....Bio-inspired speech analysis: Specialised information processing of vocalisations in the auditory brainstem. This project has the potential to benefit bionic ear and hearing aid users through the development of signal processing methods that mimic the amazing abilities of the brain. Speech perception performance by bionic ear users has reached a plateau and these new strategies could produce the breakthrough needed to provide the next increase in performance. The benefit for greater improved hearing has enormous benefit and potential for improving the quality of life of the hearing impaired, especially those with severe and profound hearing loss. In addition, the algorithms may provide more robust automatic speech recognition, making this technology more useful in everyday situations; the markets that this would open up are enormous.Read moreRead less
Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound qualit ....Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound quality, in the case of cochlea implants, or visual acuity, for retinal implants. The outcome of the project will be algorithms that optimally choose the currents on each electrode so as to shape neural activity at the finer resolution of electrode spacing rather than the coarser resolution of current spread.Read moreRead less
Stuttering in childhood: Patterns of recovery and persistence. This project will benefit the 1 in 20 Australian children who stutter and their families. We will learn for the first time how stuttering impacts on child development in the early school years and document the relationship between stuttering and other childhood conditions. The study will produce much needed information about recovery from stuttering and stuttering persistence. Therefore new knowledge will result to inform the scienti ....Stuttering in childhood: Patterns of recovery and persistence. This project will benefit the 1 in 20 Australian children who stutter and their families. We will learn for the first time how stuttering impacts on child development in the early school years and document the relationship between stuttering and other childhood conditions. The study will produce much needed information about recovery from stuttering and stuttering persistence. Therefore new knowledge will result to inform the scientific community and provide professionals and families with much needed evidence-based information about stuttering progression. Together this information will inform intervention approaches and help direct resources to those children who need them most. Read moreRead less
A study of early stuttering. Stuttering affects 1 in 20 Australian children. Stuttering disrupts and prevents normal verbal communication, significantly interferes with social interaction and can affect the attainment of educational and occupational potential. Australia leads the world in stuttering research. This innovative study will document the onset of stuttering and describe its progression, an area that is not well described or understood. This project will contribute new knowledge about ....A study of early stuttering. Stuttering affects 1 in 20 Australian children. Stuttering disrupts and prevents normal verbal communication, significantly interferes with social interaction and can affect the attainment of educational and occupational potential. Australia leads the world in stuttering research. This innovative study will document the onset of stuttering and describe its progression, an area that is not well described or understood. This project will contribute new knowledge about the onset of stuttering thereby benefiting children worldwide and their families. It will inform clinical practice and improve the evidence underpinning the advice given to parents of children who stutter.Read moreRead less
Bridging the meaning gap: A computational approach to semantic variation. This project aims to create and validate a new class of large language models that capture and partially explain semantic variation between people. We will (1) measure nuanced differences in word meaning and linguistic experience across individuals; (2) develop computational models that incorporate this variation; and (3) evaluate the extent to which the models capture behavioural and cognitive differences related to polit ....Bridging the meaning gap: A computational approach to semantic variation. This project aims to create and validate a new class of large language models that capture and partially explain semantic variation between people. We will (1) measure nuanced differences in word meaning and linguistic experience across individuals; (2) develop computational models that incorporate this variation; and (3) evaluate the extent to which the models capture behavioural and cognitive differences related to political affiliation, gender, and culture. This will advance our understanding of the nature and origin of individual differences as well as improve the calibration of AI systems for under-represented groups. These advances will support eventual applied outcomes in health, domestic security, and resilience to misinformation. Read moreRead less
The language abilities of young offenders: Missing links in theory and practice.. Young offenders are a complex and challenging population, with high rates of comorbidity between attentional, learning, and behaviour problems. Few workers have, however, considered the underlying language processing and production skills in this population. Available evidence indicates a high level of vulnerability to language disorders in young offenders. These may contribute to poor academic performance and fail ....The language abilities of young offenders: Missing links in theory and practice.. Young offenders are a complex and challenging population, with high rates of comorbidity between attentional, learning, and behaviour problems. Few workers have, however, considered the underlying language processing and production skills in this population. Available evidence indicates a high level of vulnerability to language disorders in young offenders. These may contribute to poor academic performance and failure to develop prosocial skills. This study will explore language competencies and will describe their relationship to social skills, patterns of comorbidity, and type of offence (property Vs violent). Findings will be relevant to theories of juvenile offending and design of prevention/intervention programsRead moreRead less
The effects of sentence structure on consonant and vowel articulations. Whilst machine-generated speech is generally of good quality at the level of the single word, it is noticeably less natural-sounding at the level of the sentence. This project examines an important aspect of the naturalness of human speech, namely, the effect that sentence structure has on individual consonants and vowels. A break-down of this naturalness is seen in some speakers who have suffered traumatic brain injury: suc ....The effects of sentence structure on consonant and vowel articulations. Whilst machine-generated speech is generally of good quality at the level of the single word, it is noticeably less natural-sounding at the level of the sentence. This project examines an important aspect of the naturalness of human speech, namely, the effect that sentence structure has on individual consonants and vowels. A break-down of this naturalness is seen in some speakers who have suffered traumatic brain injury: such speakers perform well when asked to utter a short word, but struggle when asked to produce a longer string of sounds. A better understanding of the interaction between speech sounds and sentence structure will lead to improvements in the treatment of speech disorders, and in the quality of human-machine communication.Read moreRead less