Identification of Functional Synaptic Plasticity from Spiking Activities Using Nonlinear Dynamical Modeling

This paper presents a systems identification approach for studying the long-term synaptic plasticity using natural spiking activities. This approach consists of three modeling steps. First, a multi-input, single-output (MISO), nonlinear dynamical spiking neuron model is formulated to estimate and re...

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Pubblicato in:J Neurosci Methods
Autori principali: Song, Dong, Chan, Rosa H. M., Robinson, Brian S., Marmarelis, Vasilis Z., Opris, Ioan, Hampson, Robert E., Deadwyler, Sam A., Berger, Theodore W.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4383743/
https://ncbi.nlm.nih.gov/pubmed/25280984
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2014.09.023
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