Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: A Fokker-Planck approach

DOI10.1063/1.2189969zbMath1151.37330OpenAlexW2061338464WikidataQ48440389 ScholiaQ48440389MaRDI QIDQ3531577

Liqiang Zhu, Frank C. Hoppensteadt, Jiping He, Ying-Cheng Lai

Publication date: 3 November 2008

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/9b363342ca6e08b3ba67a89c3e75c0d8e7899f41

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Approximating distributions in stochastic learning

Cites Work

• Spatiotemporal specificity of synaptic plasticity: cellular rules and mechanisms
• Probing Changes in Neural Interaction During Adaptation
• A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity
• Relating STDP to BCM
• How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model

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