Comparison of Memory Mechanisms Based on Adaptive Threshold Potential and Short-Term Synaptic Plasticity-Reference-Cited by-同舟云学术

Comparison of Memory Mechanisms Based on Adaptive Threshold Potential and Short-Term Synaptic Plasticity

Published:2021-11-23 Issue: Volume: Page:334-343
ISSN:1860-949X
Container-title:Advances in Neural Computation, Machine Learning, and Cognitive Research V
language:
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Author:

Kiselev Mikhail^ORCID,Ivanitsky Alexander,Lavrentyev Andrey^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91581-0_44

Reference18 articles.

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3. Maass, W.: Liquid state machines: motivation, theory and applications. World Sci. Rev. 189, 1–21 (2010)

4. Jaeger, H.: Adaptive nonlinear system identification with echo state networks. In: Advances in Neural Information Processing Systems 15, Proceedings of NIPS 2002, Vancouver, British Columbia, Canada, pp. 593–600 (2002)

5. Jaeger, H., Haas, H.: Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304(5667), 78–80 (2004)

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