One-to-one Mapping between Stimulus and Neural State: Memory and Classification

2018/05/23 by Lan, Sizhong · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)

paper · doi:10.48550/arxiv.1805.09001

Abstract

Synaptic strength can be seen as probability to propagate impulse, and according to synaptic plasticity, function could exist from propagation activity to synaptic strength. If the function satisfies constraints such as continuity and monotonicity, neural network under external stimulus will always go to fixed point, and there could be one-to-one mapping between external stimulus and synaptic strength at fixed point. In other words, neural network "memorizes" external stimulus in its synapses. A biological classifier is proposed to utilize this mapping.

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• The Urn of Hill, Lane and Sudderth

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