How synapses can enhance sensibility of a neural network

P.R. Protachevicz, F.S. Borges, K Iarosz (Corresponding Author), I.L. Caldas, M S Baptista, R.L. Viana, E.L. Lameu, E.E.N. Macau, Antonio M. Batista

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Abstract

In this work, we study the dynamic range in a neural network modelled by cellular automaton. We consider deterministic and non-deterministic rules to simulate electrical and chemical synapses. Chemical synapses have an intrinsic time-delay and are susceptible to parameter variations guided by learning Hebbian rules of behaviour. The learning rules are related to neuroplasticity that describes change to the neural connections in the brain. Our results show that chemical synapses can abruptly enhance sensibility of the neural network, a manifestation that can become even more predominant if learning rules of evolution are applied to the chemical synapses.
Original languageEnglish
Pages (from-to)1045 - 1052
Number of pages8
JournalPhysica. A, Statistical Mechanics and its Applications
Volume492
Early online date24 Nov 2017
DOIs
Publication statusPublished - 15 Feb 2018

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synapses
Synapse
Neural Networks
learning
Rule Learning
sensitivity
Hebbian Learning
cellular automata
Dynamic Range
Cellular Automata
dynamic range
brain
Time Delay
time lag

Keywords

  • plasticity
  • cellular automaton
  • dynamic range

Cite this

Protachevicz, P. R., Borges, F. S., Iarosz, K., Caldas, I. L., Baptista, M. S., Viana, R. L., ... Batista, A. M. (2018). How synapses can enhance sensibility of a neural network. Physica. A, Statistical Mechanics and its Applications, 492, 1045 - 1052. https://doi.org/10.1016/j.physa.2017.11.034

How synapses can enhance sensibility of a neural network. / Protachevicz, P.R. ; Borges, F.S.; Iarosz, K (Corresponding Author); Caldas, I.L.; Baptista, M S; Viana, R.L. ; Lameu, E.L. ; Macau, E.E.N.; Batista, Antonio M.

In: Physica. A, Statistical Mechanics and its Applications, Vol. 492, 15.02.2018, p. 1045 - 1052.

Research output: Contribution to journalArticle

Protachevicz, PR, Borges, FS, Iarosz, K, Caldas, IL, Baptista, MS, Viana, RL, Lameu, EL, Macau, EEN & Batista, AM 2018, 'How synapses can enhance sensibility of a neural network' Physica. A, Statistical Mechanics and its Applications, vol. 492, pp. 1045 - 1052. https://doi.org/10.1016/j.physa.2017.11.034
Protachevicz, P.R. ; Borges, F.S. ; Iarosz, K ; Caldas, I.L. ; Baptista, M S ; Viana, R.L. ; Lameu, E.L. ; Macau, E.E.N. ; Batista, Antonio M. / How synapses can enhance sensibility of a neural network. In: Physica. A, Statistical Mechanics and its Applications. 2018 ; Vol. 492. pp. 1045 - 1052.
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