Statistics for topic neuroscience
RepositoryStats tracks 616,864 Github repositories, of these 185 are tagged with the neuroscience topic. The most common primary language for repositories using this topic is Python (93). Other languages include: Jupyter Notebook (23), MATLAB (16), C++ (15)
Stargazers over time for topic neuroscience
Most starred repositories for topic neuroscience (view more)
Trending repositories for topic neuroscience (view more)
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
High level pandas-based API for batch analysis of Calcium Imaging data using CaImAn
High level pandas-based API for batch analysis of Calcium Imaging data using CaImAn
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Deep and online learning with spiking neural networks in Python
Deep learning software to decode EEG, ECG or MEG signals
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
High level pandas-based API for batch analysis of Calcium Imaging data using CaImAn
Source code for <Large language models surpass human experts in predicting neuroscience results>
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep and online learning with spiking neural networks in Python
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.
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
List of awesome RSS channels related to startup, science and technology.
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...
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Source code for <Large language models surpass human experts in predicting neuroscience results>
🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
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
A Python-based module for creating flexible and robust spike sorting pipelines.
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
A Python toolbox for analysing body movements across space and time
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
