发明名称 SPIKING NEURAL NETWORK OBJECT RECOGNITION APPARATUS AND METHODS
摘要 Apparatus and methods for feedback in a spiking neural network. In one approach, spiking neurons receive sensory stimulus and context signal that correspond to the same context. When the stimulus provides sufficient excitation, neurons generate response. Context connections are adjusted according to inverse spike-timing dependent plasticity. When the context signal precedes the post synaptic spike, context synaptic connections are depressed. Conversely, whenever the context signal follows the post synaptic spike, the connections are potentiated. The inverse STDP connection adjustment ensures precise control of feedback-induced firing, eliminates runaway positive feedback loops, enables self-stabilizing network operation. In another aspect of the invention, the connection adjustment methodology facilitates robust context switching when processing visual information. When a context (such an object) becomes intermittently absent, prior context connection potentiation enables firing for a period of time. If the object remains absent, the connection becomes depressed thereby preventing further firing.
申请公布号 US2013297539(A1) 申请公布日期 2013.11.07
申请号 US201213465918 申请日期 2012.05.07
申请人 PIEKNIEWSKI FILIP;IZHIKEVICH EUGENE;SZATMARY BOTOND;PETRE CSABA 发明人 PIEKNIEWSKI FILIP;IZHIKEVICH EUGENE;SZATMARY BOTOND;PETRE CSABA
分类号 G06N3/02 主分类号 G06N3/02
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