| Full text | |
| Author(s): Show less - |
Borges, Rafael R.
[1]
;
Borges, Fernando S.
[2]
;
Lameu, Ewandson L.
[3]
;
Protachevicz, Paulo R.
[4]
;
Iarosz, Kelly C.
[5, 2]
;
Caldas, Ibere L.
[2]
;
Viana, Ricardo L.
[6]
;
Macau, Elbert E. N.
[3]
;
Baptista, Murilo S.
[5]
;
Grebogi, Celso
[5]
;
Batista, Antonio M.
[5, 2, 4, 7]
Total Authors: 11
|
| Affiliation: | [1] Univ Tecnol Fed Parana, Dept Math, Apucarana, PR - Brazil
[2] Univ Sao Paulo, Inst Phys, Sao Paulo, SP - Brazil
[3] Natl Inst Space Res, Sao Jose Dos Campos, SP - Brazil
[4] Univ Estadual Ponta Grossa, Sci, Ponta Grossa, PR - Brazil
[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Kings Coll, Aberdeen AB24 3UE - Scotland
[6] Univ Fed Parana, Dept Phys, Curitiba, PR - Brazil
[7] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, PR - Brazil
Total Affiliations: 7
|
| Document type: | Journal article |
| Source: | Brazilian Journal of Physics; v. 47, n. 6, p. 678-688, DEC 2017. |
| Web of Science Citations: | 2 |
| 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. (AU) | |
| FAPESP's process: | 16/23398-8 - Synaptic plasticity in neuronal networks with time delay |
| Grantee: | Ewandson Luiz Lameu |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 16/16148-5 - Synchronous behaviour and synaptic plasticity in complex networks |
| Grantee: | Kelly Cristiane Iarosz |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 15/07311-7 - Dynamic behaviour of neural networks |
| Grantee: | Kelly Cristiane Iarosz |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 15/50122-0 - Dynamic phenomena in complex networks: basics and applications |
| Grantee: | Elbert Einstein Nehrer Macau |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 11/19296-1 - Nonlinear dynamics |
| Grantee: | Iberê Luiz Caldas |
| Support Opportunities: | Research Projects - Thematic Grants |