Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation

@inproceedings{Shastri2001BiologicalGO,
  title={Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation},
  author={Lokendra Shastri},
  booktitle={Emergent Neural Computational Architectures Based on Neuroscience},
  year={2001}
}
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a single exposure. The focus of research in neural networks has been on gradual learning, and the modeling of one-shot memorization has received relatively little attention. Nevertheless, the development of biologically plausible computational models of rapid memorization is of considerable value, since such models would… CONTINUE READING

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