syncopySystems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Stars: ✭ 19 (-91.88%)
VisbrainA multi-purpose GPU-accelerated open-source suite for brain data visualization
Stars: ✭ 172 (-26.5%)
bg-atlasapiA lightweight python module to interact with atlases for systems neuroscience
Stars: ✭ 54 (-76.92%)
neuroticCurate, visualize, annotate, and share your behavioral ephys data using Python
Stars: ✭ 24 (-89.74%)
brainregAutomated 3D brain registration with support for multiple species and atlases.
Stars: ✭ 73 (-68.8%)
MIRACLMulti-modal Image Registration And Connectivity anaLysis
Stars: ✭ 23 (-90.17%)
Open Science ResourcesA publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
Stars: ✭ 58 (-75.21%)
PyRhOA virtual optogenetics laboratory
Stars: ✭ 30 (-87.18%)
PyllusionA Parametric Framework to Generate Visual Illusions using Python
Stars: ✭ 35 (-85.04%)
FieldtripThe MATLAB toolbox for MEG, EEG and iEEG analysis
Stars: ✭ 481 (+105.56%)
NEURON-UINEURON User Interface
Stars: ✭ 14 (-94.02%)
Awesome NeuroscienceA curated list of awesome neuroscience libraries, software and any content related to the domain.
Stars: ✭ 734 (+213.68%)
BraynsVisualizer for large-scale and interactive ray-tracing of neurons
Stars: ✭ 232 (-0.85%)
Code Is ScienceScientific code needs to be open source and peer reviewed
Stars: ✭ 133 (-43.16%)
EegruntA Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Stars: ✭ 171 (-26.92%)
CatmaidCollaborative Annotation Toolkit for Massive Amounts of Image Data
Stars: ✭ 126 (-46.15%)
Mne PythonMNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Stars: ✭ 1,766 (+654.7%)
NeurodockerGenerate custom Docker and Singularity images, and minimize existing containers
Stars: ✭ 198 (-15.38%)
Deep BciAn open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Stars: ✭ 168 (-28.21%)
Course ContentNMA Computational Neuroscience course
Stars: ✭ 2,082 (+789.74%)
AvogadrolibsAvogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
Stars: ✭ 164 (-29.91%)
BrainAn esoteric programming language compiler on top of LLVM based on Brainfuck
Stars: ✭ 112 (-52.14%)
BrainA high level programming language that compiles into the brainfuck esoteric programming language
Stars: ✭ 108 (-53.85%)
NrnNEURON Simulator
Stars: ✭ 140 (-40.17%)
Brainrendera python based software for visualization of neuroanatomical and morphological data.
Stars: ✭ 183 (-21.79%)
Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
Stars: ✭ 12,358 (+5181.2%)
FmaFMA: A Dataset For Music Analysis
Stars: ✭ 1,391 (+494.44%)
TiddlyresearchLocal and Anki-compatible note-taking tool based on TiddlyWiki
Stars: ✭ 129 (-44.87%)
Neurotech CourseCS198-96: Intro to Neurotechnology @ UC Berkeley
Stars: ✭ 202 (-13.68%)
UncertainpyUncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Stars: ✭ 125 (-46.58%)
BrainflowBrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Stars: ✭ 170 (-27.35%)
TapasTAPAS - Translational Algorithms for Psychiatry-Advancing Science
Stars: ✭ 121 (-48.29%)
TomvizCross platform, open source application for the processing, visualization, and analysis of 3D tomography data
Stars: ✭ 230 (-1.71%)
OsfrR interface to the Open Science Framework (OSF)
Stars: ✭ 117 (-50%)
ErplabERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.
Stars: ✭ 166 (-29.06%)
Psycho.rAn R package for experimental psychologists
Stars: ✭ 113 (-51.71%)
NeurolibEasy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Stars: ✭ 188 (-19.66%)
SpikeextractorsPython-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.
Stars: ✭ 109 (-53.42%)
FooofParameterizing neural power spectra into periodic & aperiodic components.
Stars: ✭ 162 (-30.77%)
Mne CppMNE-CPP: A Framework for Electrophysiology
Stars: ✭ 104 (-55.56%)
BrainiakBrain Imaging Analysis Kit
Stars: ✭ 232 (-0.85%)
DeepeegDeep Learning with Tensor Flow for EEG MNE Epoch Objects
Stars: ✭ 100 (-57.26%)
SnprThe sources of the openSNP website
Stars: ✭ 155 (-33.76%)
WorkbenchConnectome Workbench
Stars: ✭ 95 (-59.4%)
PycbcCore package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Stars: ✭ 177 (-24.36%)
PytorchmedicalaiThis is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
Stars: ✭ 155 (-33.76%)
Reproducible ResearchA Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker
Stars: ✭ 95 (-59.4%)
ExpyrimentPlatform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments
Stars: ✭ 94 (-59.83%)
Suite2pcell detection in calcium imaging recordings
Stars: ✭ 153 (-34.62%)
Dcmjsdcmjs is a javascript cross-compile of dcmtk (dcmtk.org).
Stars: ✭ 92 (-60.68%)
EpflEPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
Stars: ✭ 90 (-61.54%)
MoabbMother of All BCI Benchmarks
Stars: ✭ 214 (-8.55%)
BmtkBrain Modeling Toolkit
Stars: ✭ 177 (-24.36%)
KilosortFast spike sorting with drift correction for up to a thousand channels
Stars: ✭ 148 (-36.75%)
CanlabcoreCore 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.
Stars: ✭ 88 (-62.39%)