Computational modelling in behavioural neuroscience

"Computational modelling in behavioural neuroscience" Table Of Contents:

• 1- Dynamical information processing in the CA1 microcircuit of the hippocampus / Bruce P. Graham and Vassilis Cutsuridis
• 2- Why connectionist models need spikes / Simon Thorpe
• 3- Stochastic neuro-dynamical computation of brain functions / Gustavo Deco and Edmund Rolls
• 4- 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.]
• 5- The selective attention for identification model (SAIM) : a framework for closing the gap between behaviour and neurological level / Dietmar Heinke ... [et al.]
• 6- Computational models in neuroscience : from membrane to robots / Kevin N. Gurney
• 7- Some finger prints of V1 mechanisms in the bottom up saliency for visual selection / Li Zhaoping, Keith A. May and Ansgar Koene
• 8- Decision making and population decoding with strongly inhibitory neural field models / Thomas Trappenberg
• 9- The importance of neurphysiological constraints for modelling the emergence of modularity / John Bullinaria
• 10- Selective attention in linked, minimally cognitive agents / Rob Ward and Ronnie Ward
• 11- Full solution for the storage of correlated memories in an autoassociative memory / Emilio Kropff
• 12- A unified theory of exogenous and endogenous attentional control / Michael C. Mozer and Matthew H. Wilder
• 13- Free-energy, value, and neuronal systems / Karl J. Friston, Klaas E. Stephan and Stefan Kiebel
• 14- Architecture and representation requirements for seeing processes and affordances / Aaron Sloman
• 15- 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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