[ICASSP 2020] CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition (A PyTorch implementation of Continuous Integrate-and-Fire mechanism).
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Package for simulation of integrate-and-fire neurons.
computational efficacy of a modular spiking neural network as a function of heterogeneity of delay in the network
Computational neuroscience modeling project with reproducible simulations of excitability, adaptation, synchrony, and population-level EEG-like activity.
Implementation of leaky integrate-and-fire model.
This contains the synchronization of integrate and fire neurons, assignments of Coursera courses - Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Leaky integrate-and-fire neuron simulated in MATLAB with numerical method.
From current to spikes: an analytically checked leaky integrate-and-fire experiment with reproducible firing curves.
code demos for primitives of spiking neural networks
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