Implementation of Valiant's Neuroidal model for a biologically motivated neural network and artificial intelligence system.

See:
Description

Packages

neuroidnet.ntr	Holds the main classes for the simulator.
neuroidnet.periphery	Holds classes related to the peripheral controller of the neuroidal network.
neuroidnet.phasesegregator	Example for the phase segregation hypothesis.
neuroidnet.remote	Holds extensions for distributed processing of the Neuroidal Network Simulator.

Implementation of Valiant's Neuroidal model for a biologically motivated neural network and artificial intelligence system.

Design is augmented by use of the Spike Response Model (SRM) of Gerstner for spike behavior of individual neurons [Gerstner, 99]. Additional improvements include synchronized and oscillatory behavior as observed in neuronal populations.

References:

[Gunay, 2002] C. Gunay. "Realization of the Spiking Neuroidal Network." Unpublished report (HTML, PS).

[Gerstner, 1999] W. Gerstner. "Spiking Neurons" in W. Maass, C.M. Bishop (eds), Pulsed Neural Networks. Massachusetts Institute of Technology Press, pp. 3--54, 1999.

[Valiant, 1994] Leslie G. Valiant. Circuits of The Mind. Oxford University Press. 1994.

See Also:

Network