Computational Neuroscience

This page contains resources about Computational Neuroscience in general.

More specific information is included in each subfield.

Subfields and Concepts
See Category:Computational Neuroscience for some of its subfields.
 * Integrate-and-Fire Model
 * Izhikevich Spiking Neuron Model
 * The Hodgkin-Huxley Model
 * Hebbian Model
 * Consciousness
 * Cognition
 * Embodiment
 * Synaptic Plasticity

Video Lectures

 * Computational Neuroscience - Coursera

Lecture Notes

 * Computational Neuroscience by Hermann Riecke
 * Kevin Gurney's Lecture Notes in Computational Neuroscience
 * Theoretical Neuroscience by Gatsby Unit
 * Computational Neuroscience of Vision by Mary Cryan
 * Neural Information Processing by Chris Williams and Mark van Rossum

Books

 * Gerstner, W., Kistler, W. M., Naud, R., & Paninski, L. (2014). Neuronal dynamics: From single neurons to networks and models of cognition. Cambridge University Press.
 * Izhikevich, E. M. (2010). Dynamical Systems in Neuroscience: The geometry of excitability and bursting. The MIT Press.
 * Dayan, P., & Abbott, L. F. (2005). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press.
 * Arbib, M. A. (Ed.). (2003). The Handbook of Brain Theory and Neural Networks. MIT press.
 * Haykin, S. S. J., Príncipe, C., Sejnowski, T. J., & McWhirter, J. (Eds.). (2006). New Directions in Statistical Signal Processing: From Systems to Brain. MIT Press.
 * O'Reilly, R. C., & Munakata, Y. (2000). Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain. MIT press.
 * Sejnowski, T. J., & Churchland, P. S. (1994). The Computational Brain. MIT press.

Software

 * BRIAN, a Python-based simulator
 * Emergent, neural simulation software.
 * GENESIS, a general neural simulation system.
 * ModelDB, a large open-access database of program codes of published computational neuroscience models.
 * MCell, Particle-based Monte Carlo simulator of microphysiology and cell signaling.
 * Nengo, a Python scriptable, GUI simulator for large-scale neural models
 * NEST, a simulation tool for large neuronal systems.
 * Neuroconstruct, software for developing biologically realistic 3D neural networks.
 * NEURON, a neuron simulator also useful to simulate neural networks.
 * SNNAP, a single neuron and neural network simulator tool.
 * ReMoto, a web-based simulator of the spinal cord and innervated muscles of the human leg.
 * EDLUT, a simulation software for large-scale neural networks and real-time control systems.

Other Resources

 * Scholarpedia - the peer-reviewed open-access encyclopedia
 * Neural Coding - Notebook
 * Neuroscience - Notebook
 * Perlewitz's computational neuroscience on the web
 * EyeWire -  a game to map the brain from MIT