Statistics for topic neuroscience

Deep and online learning with spiking neural networks in Python

For running psychology and neuroscience experiments

Decoding and geometrical analysis of neural activity with built-in best practices

A framework for real-time brain signal streaming with MNE-Python.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Decoding and geometrical analysis of neural activity with built-in best practices

A framework for real-time brain signal streaming with MNE-Python.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).

Brain Imaging Analysis Kit

Deep and online learning with spiking neural networks in Python

Deep learning software to decode EEG, ECG or MEG signals

For running psychology and neuroscience experiments

Mother of All BCI Benchmarks

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Decoding and geometrical analysis of neural activity with built-in best practices

Automated quality control, curation and neuron classification of spike-sorted electrophysiology data

A framework for real-time brain signal streaming with MNE-Python.

SPM (Statistical Parametric Mapping) - Development Version

Brain Imaging Analysis Kit

Deep and online learning with spiking neural networks in Python

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

Deep learning software to decode EEG, ECG or MEG signals

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semanti...

Generating and validating natural-language explanations.

Decoding and geometrical analysis of neural activity with built-in best practices

A curated list of awesome Neuropixels resources.

Textbook for NESC 3505, Neural Data Science, at Dalhousie University

🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science

Deep and online learning with spiking neural networks in Python

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

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

A Python-based module for creating flexible and robust spike sorting pipelines.

Deep learning software to decode EEG, ECG or MEG signals

Python tools for analysing body movements across space and time

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A curated list of awesome Neuropixels resources.

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Textbook for NESC 3505, Neural Data Science, at Dalhousie University