Electrophys Feature Extraction Library
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Updated
Jul 12, 2024 - Python
Electrophys Feature Extraction Library
Python library for analysis of neuroanatomical data.
A framework for evaluating natural language explanations of neurons.
Simulation of spiking neural networks (SNNs) using PyTorch.
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Creating a Neural Network from scratch.
Blue Brain Python Optimisation Library
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.
TravNet is a project towards the full automation of spike sorting, the identification of neurons from noise. This is achieved by training neural networks on sorts completed by human experts.
Comparative Connectomics for Python
Extraction of 3D skeletons from meshes.
Automatic and manual spike sorting based on SpikeInterface
An interactive image processing program for biologists written in Python.
Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.
Premiers neurones pour l'apprentissage du machine learning - Réalisé en terminale
A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
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