Routledge Computational Modelling In Behavioural Neuroscience: Closing the Gap Between Neurophysiology and Behaviour (Advances in Behavioural Brain Science)

Classically, behavioural neuroscience theorizes about experimental evidence in a qualitative way. However, more recently there has been an increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and more detailed than their qualitative counter parts. These new computational models can be set up so that they are consistent with both single neuron and whole-system levels of operation, allowing physiological results to be meshed with behavioural data thus closing the gap between neurophysiology and human behaviour. Review "A substantial collection of works from authors whose main objective is to bridge the gap between neurophysiology and behaviour. ... Clear and well written, and serves as an excellent exposition of the state of the art in the area of computational behavioral neuroscience." - Juan Felipe Martinez Florez, Universidad del Valle, Columbia, in Minds & Machines "...a captivating journey from spiking neurons to attention and behavior. Written by the greatest living experts, the book provides new connections between neurobiology and behavioral sciences." - Eugene M. Izhikevich, The Neurosciences Institute, San Diego, California  About the Author 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.