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Course Content ⭐ 2,527

NMA Computational Neuroscience course

Mne Python ⭐ 2,449

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Snntorch ⭐ 935

Deep and online learning with spiking neural networks in Python

Mother of All BCI Benchmarks

Csinva.github.io ⭐ 515

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Brainiak ⭐ 315

Brain Imaging Analysis Kit

Recursos Neuro ⭐ 215

Repositorio con recursos de Neurociencia Cognitiva y computacional con amplitud temática.

Antropy ⭐ 203

AntroPy: entropy and complexity of (EEG) time-series in Python

Clinica ⭐ 201

Software platform for clinical neuroimaging studies

Deepeeg ⭐ 180

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Mne Cpp ⭐ 143

MNE-CPP: A Framework for Electrophysiology

Canlabcore ⭐ 135

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

Artificial Intelligence And Machine Learning ⭐ 135

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Train PyTorch Models using the Genetic Algorithm with PyGAD

Ngc Learn ⭐ 71

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

Micaopen ⭐ 58

Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

Presentations other than book club meetings

Deepslice ⭐ 56

A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.

Pymindaffectbci ⭐ 55

Python SDK for high performance on-line Brain Computer Interface development.

Awesome Cogsci ⭐ 49

An Awesome List of Cognitive Science Resources

Synthetic ⭐ 37

Symbolic Generators for Complex Networks

Confounds ⭐ 35

Conquering confounds and covariates in machine learning

Harmonization ⭐ 34

👋 Aligning Human & Machine Vision using explainability

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Pymuscle ⭐ 31

A motor unit based model of skeletal muscle and fatigue

Neuroglia ⭐ 30

a Python machine learning library for neurophysiology data

This repository contains the source for the MDF specification and Python API

Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)

Automated Explanations ⭐ 26

Explain a black-box module in natural language.

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

Pyradigm ⭐ 24

Research data management in biomedical and machine learning applications

An easy to use decoding toolbox for Matlab users.

Snn_object_recognition ⭐ 17

One-Shot Object Appearance Learning using Spiking Neural Networks

Eeg Self Supervision ⭐ 15

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

Artificial Neural Variability For Deep Learning ⭐ 14

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

Exllsm Circuit Reconstruction ⭐ 12

Nextflow pipeline encapsulating workflows for analyzing expansion lattice light-sheet microscopy (ExLLSM) imagery

365 Days Of Code 2022 ⭐ 12

This coding challenge is created by Eda AYDIN. This coding challenge aims to progress from Python programming to Computer Vision, Natural Language Processing in Artificial Intelligence and Neuroscience.

BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data

Machine Learning for Neuroscience Module (https://www.imperial.ac.uk/study/courses/postgrad

Neural_pre_processing ⭐ 11

Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space

Confound_prediction ⭐ 10

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience

Missingdata ⭐ 9

missing data handing: visualize and impute

Neuromatic ⭐ 9

A neural network abstraction for C# inspired by Keras

The Brain Predictability toolbox (BPt), is a python based Machine Learning library designed primarily for tabular and neuroimaging specific neuroimaging data but can easily be generalized further.

Professional Workshop 3 ⭐ 9

上海交通大学致远数学方向专业研讨课3 [计算神经科学专题]

Noisy Spiking Neuron Nets ⭐ 8

Official repo of Noisy Spiking Neural Networks

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

Brain Computer Interface Cybathlon2020 ⭐ 7

Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race

Appliedmldays_2018 ⭐ 5

Discovering Brain Structure with Machine Learning

Read Love Pray ⭐ 5

📑 A list of papers I particularly enjoy

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