Computational Modelling in Behavioural Neuroscience : Closing the Gap Between Neurophysiology and Behaviour

, by Heinke, Dietmar; Mavritsaki, Eirini

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ISBN: 9780203889541 | 0203889541
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Copyright: 4/3/2009

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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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Preface
Dynamical Information Processing in the CA1 Microcircuit of the Hippocampus
Why Connectionist Models Need Spikes
Stochastic Neuro-Dynamical Computation of Brain Functions
Application of Neural Level Model to Human Visual Search: Modelling the Whole System Behaviour, Neuropsychological Break Down and Neural Signal Response
The Selective Attention for Identification Model (SAIM): A Framework for Closing the Gap Between Behaviour and Neurological Level
Computational Models in Neuroscience: From Membrane to Robots
Some Finger Prints of V1 Mechanisms in the Bottom up Saliency for Visual Selection
Decision Making and Population Decoding with Strongly Inhibitory Neural Field Models
The Importance of Neurophysiological Constraints for Modelling the Emergence of Modularity
Selective Attention in Linked, Minimally Cognitive Agents
Full Solution for the Storage of Correlated Memories in an Autoassociative Memory
A Unified Theory of Exogenous and Endogenous Attentional Control
Free-Energy, Value and Neuronal Systems
Architecture and Representation Requirements for Seeing Processes and Affordances
Computational Modelling in Behavioural Neuroscience: Methodologies and Approaches - Minutes of Discussions at the Workshop in Birmingham, UK in May 2007
Table of Contents provided by Publisher. All Rights Reserved.

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Computational Modelling in Behavioural Neuroscience : Closing the Gap Between Neurophysiology and Behaviour

Summary

Table of Contents

Supplemental Materials