Dynamical Systems in Neuroscience

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Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both ne

Weakly Connected Neural Networks

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Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as t

Biophysics of Computation

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Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature

Neuronal Dynamics

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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Mathematical Foundations of Neuroscience

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This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activit