Patent Number: 8,719,199

Title: Systems and methods for providing a neural network having an elementary network description for efficient implementation of event-triggered plasticity rules

Abstract: A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. The software and hardware engines are optimized to take into account short-term and long-term synaptic plasticity in the form of LTD, LTP, and STDP.

Inventors: Izhikevich; Eugene M. (San Diego, CA), Szatmary; Botond (San Diego, CA), Petre; Csaba (San Diego, CA), Piekniewski; Filip (San Diego, CA), Nageswaran; Jayram Moorkanikara (San Diego, CA)

Assignee: Brain Corporation

International Classification: G05B 13/02 (20060101)

Expiration Date: 5/06/12018