Borges, RR and Borges, FS and Lameu, EL and Batista, AM and Iarosz, KC and Caldas, IL and Antonopoulos, CG and Baptista, MS (2017) Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88. pp. 58-64. DOI https://doi.org/10.1016/j.neunet.2017.01.010
Borges, RR and Borges, FS and Lameu, EL and Batista, AM and Iarosz, KC and Caldas, IL and Antonopoulos, CG and Baptista, MS (2017) Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88. pp. 58-64. DOI https://doi.org/10.1016/j.neunet.2017.01.010
Borges, RR and Borges, FS and Lameu, EL and Batista, AM and Iarosz, KC and Caldas, IL and Antonopoulos, CG and Baptista, MS (2017) Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88. pp. 58-64. DOI https://doi.org/10.1016/j.neunet.2017.01.010
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.
Item Type: | Article |
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Additional Information: | 8 pages, 6 figures |
Uncontrolled Keywords: | Brain; Neurons; Synapses; Humans; Learning; Action Potentials; Neuronal Plasticity; Models, Neurological |
Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Feb 2017 14:15 |
Last Modified: | 30 Oct 2024 20:26 |
URI: | http://repository.essex.ac.uk/id/eprint/18977 |
Available files
Filename: 1-s2.0-S0893608017300102-main.pdf