This book represents the state-of-the-art in the field through a unique collection of papers from the world's leading researchers in the area of computational modelling in behavioural neuroscience.
This book represents the state-of-the-art in the field through a unique collection of papers from the world's leading researchers in the area of computational modelling in behavioural neuroscience.
Dietmar Heinke is a senior lecturer at the School of Psychology, University of Birmingham. His research interests include developing computational models for a broad range of psychological phenomena. Eirini Mavritsaki is a research fellow at the University of Birmingham investigating the cognitive functions using models of spiking neurons.
Inhaltsangabe
Mavritsaki Heinke Preface. Graham Cutsuridis Dynamical Information Processing in the CA1 Microcircuit of the Hippocampus. Thorpe Why Connectionist Models Need Spikes. Deco Rolls Stochastic Neuro-Dynamical Computation of Brain Functions. Humphreys Mavritsaki Allen Heinke Deco Application of Neural Level Model to Human Visual Search: Modelling the Whole System Behaviour Neuropsychological Break Down and Neural Signal Response. Heinke Mavritsaki Backhaus Kreyling The Selective Attention for Identification Model (SAIM): A Framework for Closing the Gap Between Behaviour and Neurological Level. Gurney Computational Models in Neuroscience: From Membrane to Robots. Zhaoping May Koene Some Finger Prints of V1 Mechanisms in the Bottom up Saliency for Visual Selection. Trappenberg Decision Making and Population Decoding with Strongly Inhibitory Neural Field Models. Bullinaria The Importance of Neurophysiological Constraints for Modelling the Emergence of Modularity. Ward Ward Selective Attention in Linked Minimally Cognitive Agents. Kropff Full Solution for the Storage of Correlated Memories in an Autoassociative Memory. Mozer Wilder A Unified Theory of Exogenous and Endogenous Attentional Control. Friston Stephan Kiebel Free-Energy Value and Neuronal Systems. Sloman Architecture and Representation Requirements for Seeing Processes and Affordances. Heinke Computational Modelling in Behavioural Neuroscience: Methodologies and Approaches - Minutes of Discussions at the Workshop in Birmingham UK in May 2007
Mavritsaki Heinke Preface. Graham Cutsuridis Dynamical Information Processing in the CA1 Microcircuit of the Hippocampus. Thorpe Why Connectionist Models Need Spikes. Deco Rolls Stochastic Neuro-Dynamical Computation of Brain Functions. Humphreys Mavritsaki Allen Heinke Deco Application of Neural Level Model to Human Visual Search: Modelling the Whole System Behaviour Neuropsychological Break Down and Neural Signal Response. Heinke Mavritsaki Backhaus Kreyling The Selective Attention for Identification Model (SAIM): A Framework for Closing the Gap Between Behaviour and Neurological Level. Gurney Computational Models in Neuroscience: From Membrane to Robots. Zhaoping May Koene Some Finger Prints of V1 Mechanisms in the Bottom up Saliency for Visual Selection. Trappenberg Decision Making and Population Decoding with Strongly Inhibitory Neural Field Models. Bullinaria The Importance of Neurophysiological Constraints for Modelling the Emergence of Modularity. Ward Ward Selective Attention in Linked Minimally Cognitive Agents. Kropff Full Solution for the Storage of Correlated Memories in an Autoassociative Memory. Mozer Wilder A Unified Theory of Exogenous and Endogenous Attentional Control. Friston Stephan Kiebel Free-Energy Value and Neuronal Systems. Sloman Architecture and Representation Requirements for Seeing Processes and Affordances. Heinke Computational Modelling in Behavioural Neuroscience: Methodologies and Approaches - Minutes of Discussions at the Workshop in Birmingham UK in May 2007
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