| Full text | |
| Author(s): |
Lima, Vinicius
[1, 2]
;
Pena, Rodrigo F. O.
[1, 3, 4]
;
Shimoura, Renan O.
[1]
;
Kamiji, Nilton L.
[1]
;
Ceballos, Cesar C.
[1, 5]
;
Borges, Fernando S.
[6, 7]
;
Higa, Guilherme S. V.
[6]
;
De Pasquale, Roberto
[8]
;
Roque, Antonio C.
[1]
Total Authors: 9
|
| Affiliation: | [1] Univ Sao Paulo, Fac Philosophy Sci & Letters Ribeirao Preto, Dept Phys, Ribeirao Preto, SP - Brazil
[2] Univ Aix Marseille, Inst Neurosci Syst, UMR 1106, INS, Marseille - France
[3] Rutgers State Univ, Newark, NJ - USA
[4] New Jersey Inst Technol, Federated Dept Biol Sci, Newark, NJ - USA
[5] Oregon Hlth & Sci Univ, Vollum Inst, Portland, OR 97201 - USA
[6] Fed Univ ABC, Ctr Math Computat & Cognit, Sao Bernardo Do Campo, SP - Brazil
[7] SUNY Downstate Hlth Sci Univ, New York, NY - USA
[8] Univ Sao Paulo, Inst Biomed Sci, Dept Physiol & Biophys, Sao Paulo, SP - Brazil
Total Affiliations: 8
|
| Document type: | Journal article |
| Source: | European Physical Journal-Special Topics; v. 230, n. 14-15, p. 2963-2972, OCT 2021. |
| Web of Science Citations: | 1 |
| Abstract | |
Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their responses to repeated presentations of identical stimuli. This motivates the use of stochastic models to describe neuronal behavior. In this work, we characterize an intrinsically stochastic neuron model based on a voltage-dependent spike probability function. We determine the effect of the intrinsic noise in single neurons by measuring the spike time reliability and study the stochastic resonance phenomenon. The model was able to show increased reliability for non-zero intrinsic noise values, according to what is known from the literature, and the addition of intrinsic stochasticity in it enhanced the region in which stochastic-resonance is present. We proceeded to the study at the network level where we investigated the behavior of a random network composed of stochastic neurons. In this case, the addition of an extra dimension, represented by the intrinsic noise, revealed dynamic states of the system that could not be found otherwise. Finally, we propose a method to estimate the spike probability curve from in vitro electrophysiological data. (AU) | |
| FAPESP's process: | 17/18977-1 - Analysis of Electrical Synapses Contribution in Neuronal Synchronization |
| Grantee: | Fernando da Silva Borges |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications |
| Grantee: | Elbert Einstein Nehrer Macau |
| Support Opportunities: | Research Projects - Thematic Grants |
| 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) |
| 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: | 16/03855-5 - Analysis on statistical selection of visual cortex and retina models: a comparative study |
| Grantee: | Nilton Liuji Kamiji |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 19/14962-5 - Serotoninergic modulation of spike timing dependent plasticity in cortical synapses |
| Grantee: | Roberto De Pasquale |
| Support Opportunities: | Regular Research Grants |
| 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 |