Dietmar Heinke / Eirini Mavritsaki (eds.)
Computational Modelling in Behavioural Neuroscience
Closing the Gap Between Neurophysiology and Behaviour
Herausgeber: Heinke, Dietmar; Mavritsaki, Eirini
Dietmar Heinke / Eirini Mavritsaki (eds.)
Computational Modelling in Behavioural Neuroscience
Closing the Gap Between Neurophysiology and Behaviour
Herausgeber: Heinke, Dietmar; Mavritsaki, Eirini
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Jenny Stanford Publishing
- Seitenzahl: 376
- Erscheinungstermin: 1. April 2009
- Englisch
- Abmessung: 234mm x 156mm x 22mm
- Gewicht: 703g
- ISBN-13: 9781841697383
- ISBN-10: 1841697389
- Artikelnr.: 26507157
- Verlag: Jenny Stanford Publishing
- Seitenzahl: 376
- Erscheinungstermin: 1. April 2009
- Englisch
- Abmessung: 234mm x 156mm x 22mm
- Gewicht: 703g
- ISBN-13: 9781841697383
- ISBN-10: 1841697389
- Artikelnr.: 26507157
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.
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
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
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