Multifrequency Hebbian plasticity in coupled neural oscillators

We study multifrequency Hebbian plasticity by analyzing phenomenological models of weakly connected neural networks. We start with an analysis of a model for single-frequency networks previously shown to learn and memorize phase differences between component oscillators. We then study a model for gr...

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Veröffentlicht in:	Biological cybernetics 2021-02, Vol.115 (1), p.43-57
Hauptverfasser:	Kim, Ji Chul, Large, Edward W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Biomedical and Life Sciences Biomedicine Complex Systems Computer Appl. in Life Sciences Hebbian plasticity Mathematical models Neural networks Neurobiology Neuroplasticity Neurosciences Original Article Oscillators Plastic properties Plasticity
Online-Zugang:	Volltext
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