, Volume 22, Issue 1, pp 57-60
Date: 29 Dec 2011

Dietmar Heinke and Eirini Mavritsaki (eds): Computational Modelling in Behavioural Neuroscience

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Behavioural computational neuroscience is a relatively recent and a fast growing sub-discipline of neuroscience, and Computational Modelling in Behavioural Neuroscience is a pertinent compilation of works in the area. This book was originally conceived from talks given at the University of Birmingham (UK) at the third Behavioural Brain Sciences Symposium in May–June 2007 by the authors. The text is a substantial collection of works from authors whose main objective is to bridge the gap between neurophysiology and behaviour.

The research described is generally based on computational modelling through artificial neurons, whose operations are guided by neurophysiological evidence of like operations in the brain. These computational models try to be faithful at both levels, the single neuron and whole system level. Although much of the book presents work in this direction, there are also chapters devoted to theoretical discussion about the implications of computational modeling in behaviora