Synaptic Plasticity and Spike Synchronisation in Neuronal Networks

Rafael R. Borges, Fernando S. Borges, Ewandson L. Lameu, Paulo R. Protachevicz, Kelly C. Iarosz, Iberê L. Caldas, Ricardo L. Viana, Elbert E. N. Macau, Murilo da Silva Baptista, Celso Grebogi, Antonio M. Batista

Research output: Contribution to journalArticle

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology of
the brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolved
network will reflect its evolved topology.
Original languageEnglish
Pages (from-to)678-688
Number of pages11
JournalBrazilian Journal of Physics
Volume47
Issue number6
Early online date14 Sep 2017
DOIs
Publication statusPublished - Dec 2017

Fingerprint

spikes
plastic properties
synchronism
synapses
topology
neurons
brain
brain damage
excitation

Keywords

  • neuronal network
  • plasticity
  • synchronisation

Cite this

Borges, R. R., Borges, F. S., Lameu, E. L., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., ... Batista, A. M. (2017). Synaptic Plasticity and Spike Synchronisation in Neuronal Networks. Brazilian Journal of Physics, 47(6), 678-688. https://doi.org/10.1007/s13538-017-0529-5

Synaptic Plasticity and Spike Synchronisation in Neuronal Networks. / Borges, Rafael R.; Borges, Fernando S.; Lameu, Ewandson L.; Protachevicz, Paulo R.; Iarosz, Kelly C.; Caldas, Iberê L.; Viana, Ricardo L.; Macau, Elbert E. N.; Baptista, Murilo da Silva; Grebogi, Celso; Batista, Antonio M.

In: Brazilian Journal of Physics, Vol. 47, No. 6, 12.2017, p. 678-688.

Research output: Contribution to journalArticle

Borges, RR, Borges, FS, Lameu, EL, Protachevicz, PR, Iarosz, KC, Caldas, IL, Viana, RL, Macau, EEN, Baptista, MDS, Grebogi, C & Batista, AM 2017, 'Synaptic Plasticity and Spike Synchronisation in Neuronal Networks', Brazilian Journal of Physics, vol. 47, no. 6, pp. 678-688. https://doi.org/10.1007/s13538-017-0529-5
Borges RR, Borges FS, Lameu EL, Protachevicz PR, Iarosz KC, Caldas IL et al. Synaptic Plasticity and Spike Synchronisation in Neuronal Networks. Brazilian Journal of Physics. 2017 Dec;47(6):678-688. https://doi.org/10.1007/s13538-017-0529-5
Borges, Rafael R. ; Borges, Fernando S. ; Lameu, Ewandson L. ; Protachevicz, Paulo R. ; Iarosz, Kelly C. ; Caldas, Iberê L. ; Viana, Ricardo L. ; Macau, Elbert E. N. ; Baptista, Murilo da Silva ; Grebogi, Celso ; Batista, Antonio M. / Synaptic Plasticity and Spike Synchronisation in Neuronal Networks. In: Brazilian Journal of Physics. 2017 ; Vol. 47, No. 6. pp. 678-688.
@article{f443094734bd4ce087846e77e8359979,
title = "Synaptic Plasticity and Spike Synchronisation in Neuronal Networks",
abstract = "Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology ofthe brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolvednetwork will reflect its evolved topology.",
keywords = "neuronal network, plasticity, synchronisation",
author = "Borges, {Rafael R.} and Borges, {Fernando S.} and Lameu, {Ewandson L.} and Protachevicz, {Paulo R.} and Iarosz, {Kelly C.} and Caldas, {Iber{\^e} L.} and Viana, {Ricardo L.} and Macau, {Elbert E. N.} and Baptista, {Murilo da Silva} and Celso Grebogi and Batista, {Antonio M.}",
note = "This work was possible by partial financial support from the following Brazilian government agencies: CNPq (154705/2016-0, 311467/2014-8), CAPES, Fundacao Araucaria, and Sao Paulo Research Foundation (processes FAPESP 2011/19296-1, 2015/07311-7, 2016/16148-5, 2016/23398-8, 2015/50122-0). Research supported by grant 2015/50122-0 Sao Paulo Research Foundation (FAPESP) and DFG-IRTG 1740/2.",
year = "2017",
month = "12",
doi = "10.1007/s13538-017-0529-5",
language = "English",
volume = "47",
pages = "678--688",
journal = "Brazilian Journal of Physics",
issn = "0103-9733",
publisher = "Springer New York",
number = "6",

}

TY - JOUR

T1 - Synaptic Plasticity and Spike Synchronisation in Neuronal Networks

AU - Borges, Rafael R.

AU - Borges, Fernando S.

AU - Lameu, Ewandson L.

AU - Protachevicz, Paulo R.

AU - Iarosz, Kelly C.

AU - Caldas, Iberê L.

AU - Viana, Ricardo L.

AU - Macau, Elbert E. N.

AU - Baptista, Murilo da Silva

AU - Grebogi, Celso

AU - Batista, Antonio M.

N1 - This work was possible by partial financial support from the following Brazilian government agencies: CNPq (154705/2016-0, 311467/2014-8), CAPES, Fundacao Araucaria, and Sao Paulo Research Foundation (processes FAPESP 2011/19296-1, 2015/07311-7, 2016/16148-5, 2016/23398-8, 2015/50122-0). Research supported by grant 2015/50122-0 Sao Paulo Research Foundation (FAPESP) and DFG-IRTG 1740/2.

PY - 2017/12

Y1 - 2017/12

N2 - Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology ofthe brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolvednetwork will reflect its evolved topology.

AB - Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology ofthe brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolvednetwork will reflect its evolved topology.

KW - neuronal network

KW - plasticity

KW - synchronisation

U2 - 10.1007/s13538-017-0529-5

DO - 10.1007/s13538-017-0529-5

M3 - Article

VL - 47

SP - 678

EP - 688

JO - Brazilian Journal of Physics

JF - Brazilian Journal of Physics

SN - 0103-9733

IS - 6

ER -