Deep and online learning with spiking neural networks in Python
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Updated
Aug 7, 2024 - Python
Deep and online learning with spiking neural networks in Python
A publicly-editable collection of open computational neuroscience resources
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
螺旋熵减理论
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
An introduction to Spiking Neural Networks.
Biological Neural Network based on Izhikevich Neuron Model
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.
Implementation and Simulations of LIF, ELIF, and AELIF neuron models with various input currents
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.
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