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Simulation of spiking neural networks (SNNs) using PyTorch.
machine-learning reinforcement-learning simulation dynamic pytorch neurons spiking-neural-networks gpu-computing synapse snn stdp
🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js
The NEST simulator
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
Visualizer for large-scale and interactive ray-tracing of neurons
visualization python interactive websockets neuroscience json-rpc neurons raytracing volume-rendering pathtracing brain large-scale ospray
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
reinforcement-learning simulation motion neuroscience box computational-neuroscience rat gym neurons continuous modelling locomotion ephys trajectory hippocampus gym-environment modelling-biological-systems grid-cells place-cells boundary-vector-cells
Extraction of 3D skeletons from meshes.
python skeleton mesh neurons volumes connectomics meshes 3d skeletonization teasar skeleton-extraction skeletonize
Blue Brain Python Optimisation Library
python cross-platform genetic-algorithm biological-simulations neuroscience computational-neuroscience evolutionary-algorithms neurons electrophysiology modelling parameter optimisations
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
machine-learning qlearning ai deep-learning neural-network micropython esp32 q-learning artificial-intelligence neurons deeplearning mlp predictive-modeling ann lopy wipy pycom multilayer-perceptron hc2
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
Python library for analysis of neuroanatomical data.
visualization python blender neuroscience transform segmentation neurons swc volumes skeletons anatomy meshes 3d connectome neuroanatomy nblast flywire neuprint hemibrain morphometric
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
visualization morphologies neurons blender-addon neural-modeling mesh-reconstruction soma-reconstruction morphology-analysis morphology-visualization media-production simulation-based-neuroscience blue-brain-project bbp
An easy neural network for Java!
java lightweight learning machine-learning neural-network matrix prediction artificial-intelligence matrices easy-to-use neurons weight weights hidden-layers matrix-calculations learning-rate begginer
A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
Electrophys Feature Extraction Library
The framework for quantification of neuronal anatomy
A catalog of every MLP neuron and attention head of Qwen3-8B and Gemma 4 12B, read from the weights through two Jacobian lenses (R and S), from activations, and from their exact token drivers
neurons gemma interpretability multimodal attention-heads llm mechanistic-interpretability qwen3 logit-lens s-lens r-lens
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