Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amoun ....Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amounts of information nor is it clear whether they process multiple signals simultaneously (in parallel) or one after the other (serial). The project offers new measures, based on the rate and pattern of error responses, to supplement the commonly used response times. The combination of a theoretical framework, based on mathematical and computational work, with empirical data to test the models, may deliver a better understanding of human performance and its limitations.Read moreRead less
Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages thes ....Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages these tasks. This project will reveal changes that occur in the processing of visual objects by the bee's brain with increasing experience, with potential applications including robotics or building interfaces between sensors and biological systems.Read moreRead less
The Role of Colour and Luminance in Spatial Location. How does the brain form our impression of the world? Black and white images appear normal to us. However, colour images without luminance variation have little depth, suggesting that the brain does not process colour in the same way as luminance. A series of fresh experiments examine how colour and luminance are utilised for seeing the depth and position of objects. The results will help us to understand how the first stages of visual process ....The Role of Colour and Luminance in Spatial Location. How does the brain form our impression of the world? Black and white images appear normal to us. However, colour images without luminance variation have little depth, suggesting that the brain does not process colour in the same way as luminance. A series of fresh experiments examine how colour and luminance are utilised for seeing the depth and position of objects. The results will help us to understand how the first stages of visual processing in the brain shape our sense of the world, and help develop theories of human vision, as well as animal and machine models of vision.Read moreRead less
Mechanisms underlying the perception of surface slant. How our brain encodes sensory information is of fundamental importance in neuroscience. Visual after-effects (how looking at various stimuli can affect the perception of subsequently presented stimuli) have provided valuable information about mechanisms of perceptual coding. We will use an adaptation paradigm to examine two-dimensional and three-dimensional after-effects, and their dependence on common mechanisms. Stimulus manipulations will ....Mechanisms underlying the perception of surface slant. How our brain encodes sensory information is of fundamental importance in neuroscience. Visual after-effects (how looking at various stimuli can affect the perception of subsequently presented stimuli) have provided valuable information about mechanisms of perceptual coding. We will use an adaptation paradigm to examine two-dimensional and three-dimensional after-effects, and their dependence on common mechanisms. Stimulus manipulations will allow us to probe the steps involved in recovering three-dimensional slant, and recording the full time-course of the after-effect will allow us to gauge the plasticity of these mechanisms. These effects will be modelled in terms of the response properties of cortical neurons.Read moreRead less
A theory of attention and decision-making in multi-attribute and multi-object perceptual judgements. The human brain is an efficient biological computation device for rapidly translating perception into action. This project will develop and test a mathematical model of the processes of visual selective attention and perceptual decision-making. These processes are at the heart of the brain's ability to carry out this translation in a fast and accurate way.
Cognitive Foundations of Fast Decision Making. This project aims to develop a new theory of fast decision making. In all walks of life, from the sports field to the battlefield, fast and accurate decisions are central to human performance. This project will develop and test mathematical models of the processes involved in making decisions with continuous choice sets and decisions requiring integration of multiple sources of information and decisions in which information varies over time. It is e ....Cognitive Foundations of Fast Decision Making. This project aims to develop a new theory of fast decision making. In all walks of life, from the sports field to the battlefield, fast and accurate decisions are central to human performance. This project will develop and test mathematical models of the processes involved in making decisions with continuous choice sets and decisions requiring integration of multiple sources of information and decisions in which information varies over time. It is expected to contribute to our understanding of factors that characterise and limit human performance in settings in which fast and accurate decisions are required. It is expected to benefit the design of systems and environments in which safety and efficiency depend on human decision making.Read moreRead less
Feature processing in categorisation: modelling the time course of perceptual decision making. How do we perceive stable unified objects with a brain comprised of specialised neurons located in different regions? This project will test a model of perceptual categorisation to link feature processing in categorisation with other perceptual tasks like visual search and explain the time course of information processing in both.
Decision Processes in Visual Working Memory. This project aims to investigate a new theory of rapid human decision making and memory processes in contexts of a continuous choice set. Many real-world, action-oriented decisions, such as those made while driving, walking, or cycling, require the decision maker to choose from a continuous set of alternatives and decisions are often based on memories of past events. This project will use human experimentation and computational modelling methods to i ....Decision Processes in Visual Working Memory. This project aims to investigate a new theory of rapid human decision making and memory processes in contexts of a continuous choice set. Many real-world, action-oriented decisions, such as those made while driving, walking, or cycling, require the decision maker to choose from a continuous set of alternatives and decisions are often based on memories of past events. This project will use human experimentation and computational modelling methods to increase our understanding of the processes involved in an important class of memory-based decision tasks. The expected outcomes will provide an improved understanding of cognitive computation, which may aid in the future development of associated technologies.Read moreRead less
The capacity limitations of visual attention. Processes of attention allow the brain to select relevant stimuli from the environment and protect its limited information-processing capacity from overload. This project will develop and test a neurally-plausible, computational model of attentional selection and capacity limitations. The model describes how performance in simple cognitive tasks is determined by selection competition, the information and item capacity of visual short-term memory, and ....The capacity limitations of visual attention. Processes of attention allow the brain to select relevant stimuli from the environment and protect its limited information-processing capacity from overload. This project will develop and test a neurally-plausible, computational model of attentional selection and capacity limitations. The model describes how performance in simple cognitive tasks is determined by selection competition, the information and item capacity of visual short-term memory, and decision noise. It provides an account of how the effects of these various kinds of capacity limitation vary with strategy or task set, and provides a metric for the information capacity of visual short-term memory based on the additivity of signal-to-noise ratios.Read moreRead less
Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less