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

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 Hebbi...

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Bibliographic Details
Published in:Neural networks 2017-04, Vol.88, p.58-64
Main Authors: Borges, R.R., Borges, F.S., Lameu, E.L., Batista, A.M., Iarosz, K.C., Caldas, I.L., Antonopoulos, C.G., Baptista, M.S.
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Brain - physiology
Humans
Learning - physiology
Models, Neurological
Network
Neuronal Plasticity - physiology
Neurons - physiology
Plasticity
Synapses - physiology
Synchronization
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Summary: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.
ISSN:0893-6080
1879-2782
DOI:10.1016/j.neunet.2017.01.010