Arising from several courses taught by the authors, this book provides a needed overview illustrating how dynamical systems and computational analysis have been used in understanding the types of models that come out of neuroscience.
An Introduction to Modeling Neuronal Dynamics
Neuroscience A Mathematical Primer
Computational Neuroscience A First Course
An Introduction to Neural Information Processing
Nonlinear Dynamics in Computational Neuroscience
Waves in Neural Media From Single Neurons to Neural Fields
Advanced Models of Neural Networks Nonlinear Dynamics and Stochasticity in Biological Neurons
Brain Dynamics Synchronization and Activity Patterns in Pulse-Coupled Neutral Nets With Delays and Noise
Lectures in Supercomputational Neuroscience Dynamics in Complex Brain Networks
Tutorials in Mathematical Biosciences I Mathematical Neuroscience