Trending repositories for topic neuroscience
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Source code for <Large language models surpass human experts in predicting neuroscience results>
A curated list of awesome neuroscience libraries, software and any content related to the domain.
The Arbor multi-compartment neural network simulation library.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Deep learning software to decode EEG, ECG or MEG signals
Source code for <Large language models surpass human experts in predicting neuroscience results>
The Arbor multi-compartment neural network simulation library.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Deep and online learning with spiking neural networks in Python
Deep learning software to decode EEG, ECG or MEG signals
Source code for <Large language models surpass human experts in predicting neuroscience results>
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A list of schools and researchers in computational neuroscience
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
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
The open source toolbox for reproducible diffusion MRI-based microstructure estimation
A publicly-editable collection of open computational neuroscience resources
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Generating and validating natural-language explanations.
Source code for <Large language models surpass human experts in predicting neuroscience results>
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
Generating and validating natural-language explanations.
The open source toolbox for reproducible diffusion MRI-based microstructure estimation
The Arbor multi-compartment neural network simulation library.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
A list of schools and researchers in computational neuroscience
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep and online learning with spiking neural networks in Python
Deep learning software to decode EEG, ECG or MEG signals
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
A publicly-editable collection of open computational neuroscience resources
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Deep and online learning with spiking neural networks in Python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Source code for <Large language models surpass human experts in predicting neuroscience results>
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
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
A list of schools and researchers in computational neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
A Python-based module for creating flexible and robust spike sorting pipelines.
A publicly-editable collection of open computational neuroscience resources
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Source code for <Large language models surpass human experts in predicting neuroscience results>
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Decoding and geometrical analysis of neural activity with built-in best practices
Generating and validating natural-language explanations.
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...
Automated quality control, curation and neuron classification of spike-sorted electrophysiology data
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
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
A framework for real-time brain signal streaming with MNE-Python.
BioDynaMo is a high-performance and modular, agent-based simulation platform.
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and ...
Deep learning software to decode EEG, ECG or MEG signals
🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science
Source code for <Large language models surpass human experts in predicting neuroscience results>
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
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
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
A curated list of awesome neuroscience libraries, software and any content related to the domain.
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
A list of schools and researchers in computational neuroscience
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
A publicly-editable collection of open computational neuroscience resources
Python tools for analysing body movements across space and time
A Python package to visualise neuroanatomical data in atlas space
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
Python tools for analysing body movements across space and time
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
List of awesome RSS channels related to startup, science and technology.
Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF
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
Automated quality control, curation and neuron classification of spike-sorted electrophysiology data
Generating and validating natural-language explanations.
A framework for real-time brain signal streaming with MNE-Python.
:zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:
A table containing imaging analysis tools for biology, with a focus on calcium imaging.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
