Oxford University Press, 2002. — 355 p. — ISBN: 9780198515838
Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Fundamentals of Computational Neuroscience is the first introductory book to this topic. It introduces the theoretical foundations of neuroscience with a focus on understanding information processing in the brain. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards.
Neurons and conductance-based models
Spiking Neurons and response variability
Neurons in a Network
Representations and the neural сode
Feed-forward mapping networks
Associators and synaptic plasticity
Auto-associative memory and network dynamics
Continuous attractor and competitive networks
Supervised learning and rewards systems
System level organization and coupled networks
A MatLAB guide to computational neuroscience