Computational_neuroscience Computational_neuroscience

Computational neuroscience - Definition and Overview

This article or section should include material from neuro cybernetics

Computational neuroscience is an interdisciplinary field which draws on neuroscience, computer science and applied mathematics. It most often uses mathematical and computational techniques such as computer simulations and mathematical models to understand the function of the nervous system.

The field of computational neuroscience began with the work of Andrew Huxley, Alan Hodgkin, and David Marr. The results of their pioneering work in developing the voltage clamp allowed them to develop the first mathematical model of the action potential.

See also: neuroscience, neural network, Important publications in neuroscience

References

  • Peter Dayan, L.F. Abbott: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001, ISBN 0262041995

External links

  • Genesis (http://www.genesis-sim.org/GENESIS/), a general neural simulation system
  • Neuron (http://www.neuron.yale.edu/), a neuron and neural network simulator
  • HHsim (http://www-2.cs.cmu.edu/~dst/HHsim/), a neuronal membrane simulator
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