English

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

Neurons and Cognition 2019-04-25 v6 Machine Learning Machine Learning

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.

Keywords

Cite

@article{arxiv.1805.09001,
  title  = {One-to-one Mapping between Stimulus and Neural State: Memory and Classification},
  author = {Sizhong Lan},
  journal= {arXiv preprint arXiv:1805.09001},
  year   = {2019}
}

Comments

8 pages, 15 figures, final for AIP Advances

R2 v1 2026-06-23T02:05:19.486Z