Trending repositories for topic neuroscience
AntroPy: entropy and complexity of (EEG) time-series in Python
A Python-based module for creating flexible and robust spike sorting pipelines.
A list of schools and researchers in computational neuroscience
Deep learning software to decode EEG, ECG or MEG signals
Fast spike sorting with drift correction for up to a thousand channels
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
AntroPy: entropy and complexity of (EEG) time-series in Python
A Python-based module for creating flexible and robust spike sorting pipelines.
Deep and online learning with spiking neural networks in Python
A list of schools and researchers in computational neuroscience
Deep learning software to decode EEG, ECG or MEG signals
Fast spike sorting with drift correction for up to a thousand channels
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
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Deep learning software to decode EEG, ECG or MEG signals
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
AntroPy: entropy and complexity of (EEG) time-series in Python
A list of schools and researchers in computational neuroscience
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A Python-based module for creating flexible and robust spike sorting pipelines.
a python based software for visualization of neuroanatomical and morphological data.
A publicly-editable collection of open computational neuroscience resources
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Python tools for analysing body movements across space and time
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
AntroPy: entropy and complexity of (EEG) time-series in Python
Deep and online learning with spiking neural networks in Python
Deep learning software to decode EEG, ECG or MEG signals
A Python-based module for creating flexible and robust spike sorting pipelines.
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
A list of schools and researchers in computational neuroscience
a python based software for visualization of neuroanatomical and morphological data.
Deep and online learning with spiking neural networks in Python
A Python-based module for creating flexible and robust spike sorting pipelines.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
A list of schools and researchers in computational neuroscience
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.
Fast spike sorting with drift correction for up to a thousand channels
A publicly-editable collection of open computational neuroscience resources
A curated list of awesome neuroscience libraries, software and any content related to the domain.
AntroPy: entropy and complexity of (EEG) time-series in Python
a python based software for visualization of neuroanatomical and morphological data.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science
A Python-based module for creating flexible and robust spike sorting pipelines.
All-in-one toolbox for processing of magnetic resonance spectroscopy data.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection"
A framework for real-time brain signal streaming with MNE-Python.
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Python tools for analysing body movements across space and time
Deep and online learning with spiking neural networks in Python
Fast spike sorting with drift correction for up to a thousand channels
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
🎉🎨 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
Deep learning software to decode EEG, ECG or MEG signals
A Python-based module for creating flexible and robust spike sorting pipelines.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
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
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Fast spike sorting with drift correction for up to a thousand channels
A publicly-editable collection of open computational neuroscience resources
a python based software for visualization of neuroanatomical and morphological data.
List of awesome RSS channels related to startup, science and technology.
Python tools for analysing body movements across space and time
Code supporting 'Geometric constraints on human brain function'
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
List of awesome RSS channels related to startup, science and technology.
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
A framework for real-time brain signal streaming with MNE-Python.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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.
A Python-based module for creating flexible and robust spike sorting pipelines.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
A table containing imaging analysis tools for biology, with a focus on calcium imaging.
Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF
Multi-probe trajectory planning in an intuitive 3D environment
Deep and online learning with spiking neural networks in Python
A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.