Modelagem estocástica de neurônios e sua interação em tempo real com neurônios biológicos / Stochastic neural modelling and interfacing neurons and models in real-time

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

We developed a mathematical model of the electrical activity of a motor neuron from the stomatogastric ganglion of crustaceans. It was inspired on a previous existing deterministic model which is considered as electrophysiologically plausible in the recent literature. However, this deterministic model were not able to reproduce the irregular bursting behavior found in those biological neurons when isolated from the neural circuit. Our model, based on the microscopic stochastic behavior of the membrane ion channels, successfully reproduced the intrinsic irregular properties that were missing in the original deterministic model. To allow the real time performing of the stochastic model simulations we have to deal with some simplifications and to implement several optimizations that are also describe in detail. The real time version of our stochastic model was implemented in a dynamic clamp protocol to interface the computational model to real neurons. Finally, we applied the implemented versions of real time simulation and interfacing protocols to replace some biological bursting neurons of the stomatogastric ganglion. These hibrid neural networks were used to study how the information (diferent patterns of interspike intervals) is transmitted between biological and two types of artificial neurons: deterministic and stochastic.

ASSUNTO(S)

neural networks stochastic model modelo estocástico redes neurais

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