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Computational neuroscience

Computational neuroscience is a 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 and Alan Hodgkin. 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

References

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

Referenced By

Biological | BiologicalScience | Biology | Life science | Life sciences

 

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This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Computational neuroscience".

 

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