Easily Simulate Custom Networks of LIF Neurons

Design and simulate your leaky integrate and fire (LIF) neuron network in only a few lines of code.
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Actualizado 31 Jul 2020

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In only a few lines of code you can customize and simulate a network of leaky integrate and fire neurons (LIF). This function facilitates quick testing of network architectures. The network can be simple, only specifying the weights of the connections between neurons, or complex with options ranging from offset currents, refractory periods, speed of synaptic transmission, noise, etc.
Usage notes, extensive examples, and sources are given in the help.

Citar como

Zachary Danziger (2024). Easily Simulate Custom Networks of LIF Neurons (https://www.mathworks.com/matlabcentral/fileexchange/50339-easily-simulate-custom-networks-of-lif-neurons), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2011b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
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Más información sobre Neural Simulation en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.1

% Bugfix: Updated accumarray call to output as many elements as there are
% neurons to avoid synamptic contribution errors when there are neurons in
% the network that have no connections to other neurons. ZC Danziger July 2020

1.0.0.0