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.
螺旋抗熵系统
螺旋抗熵理论
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Tune ECU maps with AI-powered A2L, HEX, and OLS support for WinOLS-style workflows
An introduction to Spiking Neural Networks.
Biological Neural Network based on Izhikevich Neuron Model
Implementation and Simulations of LIF, ELIF, and AELIF neuron models with various input currents
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.
Whole-brain Drosophila simulation at 2.2x real time on 4 CPU cores, no GPU. 138,639 neurons bit-identical to the reference, with nine switchable neuron models and a live 3D interface.
From-scratch MATLAB implementation of the Hodgkin–Huxley action-potential model (V, m, n, h channel dynamics).
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