Literature DB >> 23500505

A common framework of signal processing in the induction of cerebellar LTD and cortical STDP.

Minoru Honda1, Hidetoshi Urakubo, Takuya Koumura, Shinya Kuroda.   

Abstract

Cerebellar long-term depression (LTD) and cortical spike-timing-dependent synaptic plasticity (STDP) are two well-known and well-characterized types of synaptic plasticity. Induction of both types of synaptic plasticity depends on the spike timing, pairing frequency, and pairing numbers of two different sources of spiking. This implies that the induction of synaptic plasticity may share common frameworks in terms of signal processing regardless of the different signaling pathways involved in the two types of synaptic plasticity. Here we propose that both types share common frameworks of signal processing for spike-timing, pairing-frequency, and pairing-numbers detection. We developed system models of both types of synaptic plasticity and analyzed signal processing in the induction of synaptic plasticity. We found that both systems have upstream subsystems for spike-timing detection and downstream subsystems for pairing-frequency and pairing-numbers detection. The upstream systems used multiplication of signals from the feedback filters and nonlinear functions for spike-timing detection. The downstream subsystems used temporal filters with longer time constants for pairing-frequency detection and nonlinear switch-like functions for pairing-numbers detection, indicating that the downstream subsystems serve as a leaky integrate-and-fire system. Thus, our findings suggest that a common conceptual framework for the induction of synaptic plasticity exists despite the differences in molecular species and pathways.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23500505     DOI: 10.1016/j.neunet.2013.01.018

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  4 in total

1.  NMDAR-Mediated Ca2+ Increase Shows Robust Information Transfer in Dendritic Spines.

Authors:  Takehiro Tottori; Masashi Fujii; Shinya Kuroda
Journal:  Biophys J       Date:  2019-04-03       Impact factor: 4.033

2.  A unified computational model for cortical post-synaptic plasticity.

Authors:  Tuomo Mäki-Marttunen; Nicolangelo Iannella; Andrew G Edwards; Gaute T Einevoll; Kim T Blackwell
Journal:  Elife       Date:  2020-07-30       Impact factor: 8.140

3.  Small-Volume Effect Enables Robust, Sensitive, and Efficient Information Transfer in the Spine.

Authors:  Masashi Fujii; Kaoru Ohashi; Yasuaki Karasawa; Minori Hikichi; Shinya Kuroda
Journal:  Biophys J       Date:  2017-02-28       Impact factor: 4.033

Review 4.  Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.

Authors:  Egidio D'Angelo; Alberto Antonietti; Stefano Casali; Claudia Casellato; Jesus A Garrido; Niceto Rafael Luque; Lisa Mapelli; Stefano Masoli; Alessandra Pedrocchi; Francesca Prestori; Martina Francesca Rizza; Eduardo Ros
Journal:  Front Cell Neurosci       Date:  2016-07-08       Impact factor: 5.505

  4 in total

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