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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Mise à jour 31 juil. 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.

Citation pour cette source

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. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
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Version Publié le Notes de version
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