| Full text | |
| Author(s): |
Pena, Rodrigo F. O.
[1]
;
Lima, Vinicius
[1]
;
O. Shimoura, Renan
[1]
;
Paulo Novato, Joao
[1]
;
Roque, Antonio C.
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ Sao Paulo, Fac Philosophy Sci & Letters Ribeirao Preto, Dept Phys, BR-14040901 Ribeirao Preto, SP - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | BRAIN SCIENCES; v. 10, n. 4 APR 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
In network models of spiking neurons, the joint impact of network structure and synaptic parameters on activity propagation is still an open problem. Here, we use an information-theoretical approach to investigate activity propagation in spiking networks with a hierarchical modular topology. We observe that optimized pairwise information propagation emerges due to the increase of either (i) the global synaptic strength parameter or (ii) the number of modules in the network, while the network size remains constant. At the population level, information propagation of activity among adjacent modules is enhanced as the number of modules increases until a maximum value is reached and then decreases, showing that there is an optimal interplay between synaptic strength and modularity for population information flow. This is in contrast to information propagation evaluated among pairs of neurons, which attains maximum value at the maximum values of these two parameter ranges. By examining the network behavior under the increase of synaptic strength and the number of modules, we find that these increases are associated with two different effects: (i) the increase of autocorrelations among individual neurons and (ii) the increase of cross-correlations among pairs of neurons. The second effect is associated with better information propagation in the network. Our results suggest roles that link topological features and synaptic strength levels to the transmission of information in cortical networks. (AU) | |
| FAPESP's process: | 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat |
| Grantee: | Oswaldo Baffa Filho |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| 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: | 17/07688-9 - Computational study of hippocampal-cortical-thalamic interactions: simulating patterns of synaptic plasticity and oscillatory activity |
| Grantee: | Renan Oliveira Shimoura |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 18/20277-0 - Computational and systems neuroscience |
| Grantee: | Antonio Carlos Roque da Silva Filho |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 17/05874-0 - Models of neural networks with stochastic neurons and different topologies: construction and analysis |
| Grantee: | Vinícius Lima Cordeiro |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 13/25667-8 - Mechanisms of propagation of epileptiform activity in a large-scale cortical model |
| Grantee: | Rodrigo Felipe de Oliveira Pena |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |