Literature DB >> 28189840

Spike timing-dependent plasticity induces non-trivial topology in the brain.

R R Borges1, F S Borges2, E L Lameu2, A M Batista3, K C Iarosz4, I L Caldas4, C G Antonopoulos5, M S Baptista6.   

Abstract

We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently their connections and behavior, the so called spike timing-dependent plasticity (STDP), as a function of their synchronous behavior. We consider STDP of excitatory and inhibitory synapses driven by Hebbian rules. We show that the final state of networks evolved by a STDP depend on the initial network configuration. Specifically, an initial all-to-all topology evolves to a complex topology. Moreover, external perturbations can induce co-existence of clusters, those whose neurons are synchronous and those whose neurons are desynchronous. This work reveals that STDP based on Hebbian rules leads to a change in the direction of the synapses between high and low frequency neurons, and therefore, Hebbian learning can be explained in terms of preferential attachment between these two diverse communities of neurons, those with low-frequency spiking neurons, and those with higher-frequency spiking neurons.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Network; Plasticity; Synchronization

Mesh:

Year:  2017        PMID: 28189840     DOI: 10.1016/j.neunet.2017.01.010

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


  4 in total

1.  Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-09-11       Impact factor: 5.082

2.  Effect of interpopulation spike-timing-dependent plasticity on synchronized rhythms in neuronal networks with inhibitory and excitatory populations.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 5.082

3.  Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-01-10       Impact factor: 5.082

4.  A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity.

Authors:  Qiu-Sheng Huang; Hui Wei
Journal:  Front Comput Neurosci       Date:  2021-04-21       Impact factor: 2.380

  4 in total

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