An edition of Computational modelling in behavioural neuroscience
(2009)
Computational modelling in behavioural neuroscience
closing the gap between neurophysiology and behaviour
by Dietmar Heinke and Eirini Mavritsaki
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Table of Contents
Dynamical information processing in the CA1 microcircuit of the hippocampus / Bruce P. Graham and Vassilis Cutsuridis
Why connectionist models need spikes / Simon Thorpe
Stochastic neuro-dynamical computation of brain functions / Gustavo Deco and Edmund Rolls
Application of neural level model to human visual search : modelling the whole system behaviour, neuropsychological break down and neural signal response / Glyn W. Humphreys ... [et al.]
The selective attention for identification model (SAIM) : a framework for closing the gap between behaviour and neurological level / Dietmar Heinke ... [et al.]
Computational models in neuroscience : from membrane to robots / Kevin N. Gurney
Some finger prints of V1 mechanisms in the bottom up saliency for visual selection / Li Zhaoping, Keith A. May and Ansgar Koene
Decision making and population decoding with strongly inhibitory neural field models / Thomas Trappenberg
The importance of neurphysiological constraints for modelling the emergence of modularity / John Bullinaria
Selective attention in linked, minimally cognitive agents / Rob Ward and Ronnie Ward
Full solution for the storage of correlated memories in an autoassociative memory / Emilio Kropff
A unified theory of exogenous and endogenous attentional control / Michael C. Mozer and Matthew H. Wilder
Free-energy, value, and neuronal systems / Karl J. Friston, Klaas E. Stephan and Stefan Kiebel
Architecture and representation requirements for seeing processes and affordances / Aaron Sloman
Computational modelling in behavioural neuroscience : methodologies and approaches-minutes of discussions at the workshop in Birmingham, UK in May 2007 / Dietmar Heinke.
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Includes bibliographical references.
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| December 15, 2022 | Edited by MARC Bot | import existing book |
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