An introduction to Spiking Neural Networks.
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Updated
May 13, 2022 - Python
An introduction to Spiking Neural Networks.
Source code, results and analysis of the resulting population of neurons from the article 'On the use of a multimodal optimizer for fitting neuron models. Application to the cerebellar granule cell. (2021) Front. in Neuroinf.
nFit - an application to automatically generate and optimize neuron models.
A software simulator of the Neural Dependency Cartesian Product (NxN), a Neurocybernetic model for systems of neurons, derived by forming the Cartesian product of the neurons by the neurons.
Biological Neural Network based on Izhikevich Neuron Model
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
螺旋熵减理论
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
螺旋熵减系统
A publicly-editable collection of open computational neuroscience resources
Deep and online learning with spiking neural networks in Python
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