Computational neuroscience
|
|
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
- Cell potential
- Transmembrane potential difference
- electrophysiology
- 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
- Biological Cybernetics Journal (http://www.springerlink.com/openurl.asp?genre=journal&issn=0340-1200)
- The Journal of Computational Neuroscience (http://www.kluweronline.com/issn/0929-5313)
- Genesis (http://www.genesis-sim.org/GENESIS/), a general neural simulation system
- Neuron (http://www.neuron.yale.edu/), a neural network simulator
- HHsim (http://www-2.cs.cmu.edu/~dst/HHsim/), a neuronal membrane simulator