Identification of Neural Plasticity From Spikes

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)

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Detail(s)

Original languageEnglish
Title of host publicationHandbook of in Vivo Neural Plasticity Techniques
Subtitle of host publicationA Systems Neuroscience Approach to the Neural Basis of Memory and Cognition
EditorsDenise Manahan-Vaughan
PublisherElsevier B.V.
Pages135-151
ISBN (Print)9780128120286
Publication statusPublished - 2019

Publication series

NameHandbook of Behavioral Neuroscience
Volume28
ISSN (Print)1569-7339

Abstract

This chapter describes a computational modeling approach for identifying short-term and long-term synaptic plasticity (LTSP) from spikes recorded in vivo. In this approach, synaptic strength is represented as input–output dynamics between neurons; short-term synaptic plasticity (STSP) is defined as input–output nonlinear dynamics; LTSP is formulated as the nonstationarity of such nonlinear dynamics; synaptic learning rule is essentially the function governing the characteristics of the LTSP based on the input–output spiking patterns. As a special case, spike timing–dependent plasticity is equivalent to a second-order learning rule describing the pairwise interactions between single-input spikes and single-output spikes. Using experimental and simulated input–output data, it has been shown that STSP, LTSP, and learning rules can be accurately identified with a set of nonstationary, nonlinear dynamical models.

Research Area(s)

  • Brain, Depression, Facilitation, Hippocampus, Learning rule, Nonlinear dynamical model, Nonlinear dynamics, Nonstationarity, Potentiation, Regularized estimation, Sparsity, Spatiotemporal pattern, Spike, Spike timing–dependent plasticity, Volterra kernel

Citation Format(s)

Identification of Neural Plasticity From Spikes. / Song, Dong; Robinson, Brian S.; Chan, Rosa H.M.; Berger, Theodore W.

Handbook of in Vivo Neural Plasticity Techniques: A Systems Neuroscience Approach to the Neural Basis of Memory and Cognition. ed. / Denise Manahan-Vaughan. Elsevier B.V., 2019. p. 135-151 (Handbook of Behavioral Neuroscience; Vol. 28).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)