Neural Correlation via Random Connections

Abstract

A simple neural network is studied, which has sparse, random, plastic, excitatory connections and also feedback loops between sensory cells and correlator cells. Time is limited to several discrete instants, where firing is synchronous. For parameter values within biological ranges, the system exhibits a capacity for associative recall, with a controlled amount of extraneous firing, following Hebb-like synaptic changes.

Cite

Text

Chover. "Neural Correlation via Random Connections." Neural Computation, 1996. doi:10.1162/NECO.1996.8.8.1711

Markdown

[Chover. "Neural Correlation via Random Connections." Neural Computation, 1996.](https://mlanthology.org/neco/1996/chover1996neco-neural/) doi:10.1162/NECO.1996.8.8.1711

BibTeX

@article{chover1996neco-neural,
  title     = {{Neural Correlation via Random Connections}},
  author    = {Chover, Joshua},
  journal   = {Neural Computation},
  year      = {1996},
  pages     = {1711-1729},
  doi       = {10.1162/NECO.1996.8.8.1711},
  volume    = {8},
  url       = {https://mlanthology.org/neco/1996/chover1996neco-neural/}
}