System and method for cortical simulation

Data processing: artificial intelligence – Neural network

Reexamination Certificate

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C703S011000, C706S025000, C706S044000

Reexamination Certificate

active

08005773

ABSTRACT:
A cortical simulator optimizing the simulation scale and time through computationally efficient simulation of neurons in a clock-driven and synapses in an event-driven fashion, memory efficient representation of simulation state, and communication efficient message exchanges.

REFERENCES:
patent: 7430546 (2008-09-01), Suri
patent: 2008/0162391 (2008-07-01), Izhikevich
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Abigail Morrison, AD Aertsen, and Markus Diesmann. 2007. Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Comput. 19, 6 (Jun. 2007), 1437-1467.
Izhikevich EM, Desai NS. Relating STDP to BCM. Neural Comput. Jul. 2003:15(7)1511-23.
Long and Gupta. Scalable Massively Parallel Artificial Neural Networks. American Institute of Aeronautics and Astronautics, InfoTech@Aerospace Conference, Sep. 2005. pp. 1-11.
Charles C. Peck, James Kozloski, A. Ravishankar Rao, and Guillermo A. Cecchi. 2003. Simulation infrastructure for modeling large scale neural systems. In Proceedings of the 2003 international conference on Computational science (ICCS'03), Springer-Verlag, Berlin, Heidelberg, 1127-1136.

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