syncopySystems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Stars: ✭ 19 (-36.67%)
NEURON-UINEURON User Interface
Stars: ✭ 14 (-53.33%)
brian2cudaA brian2 extension to simulate spiking neural networks on GPUs
Stars: ✭ 46 (+53.33%)
MIRACLMulti-modal Image Registration And Connectivity anaLysis
Stars: ✭ 23 (-23.33%)
bg-atlasapiA lightweight python module to interact with atlases for systems neuroscience
Stars: ✭ 54 (+80%)
FieldtripThe MATLAB toolbox for MEG, EEG and iEEG analysis
Stars: ✭ 481 (+1503.33%)
neuroexpresso📊 Gene expression in neuroexpresso database
Stars: ✭ 15 (-50%)
BrainPyBrain Dynamics Programming in Python
Stars: ✭ 242 (+706.67%)
brainregAutomated 3D brain registration with support for multiple species and atlases.
Stars: ✭ 73 (+143.33%)
neuronunitA package for data-driven validation of neuron and ion channel models using SciUnit
Stars: ✭ 36 (+20%)
prime-re.github.ioOpen resource exchange platform for non-human primate neuroimaging
Stars: ✭ 13 (-56.67%)
cyclopsPrecision current source, with optional optical feedback, for driving LEDs and laser diodes
Stars: ✭ 38 (+26.67%)
Awesome NeuroscienceA curated list of awesome neuroscience libraries, software and any content related to the domain.
Stars: ✭ 734 (+2346.67%)
clinicaSoftware platform for clinical neuroimaging studies
Stars: ✭ 153 (+410%)
PyllusionA Parametric Framework to Generate Visual Illusions using Python
Stars: ✭ 35 (+16.67%)
VisbrainA multi-purpose GPU-accelerated open-source suite for brain data visualization
Stars: ✭ 172 (+473.33%)
computational-neuroscienceShort undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Stars: ✭ 36 (+20%)
BraynsVisualizer for large-scale and interactive ray-tracing of neurons
Stars: ✭ 232 (+673.33%)
hnnThe Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Stars: ✭ 62 (+106.67%)
ITKTubeTKTubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.
Stars: ✭ 29 (-3.33%)
neuroticCurate, visualize, annotate, and share your behavioral ephys data using Python
Stars: ✭ 24 (-20%)
nixNeuroscience information exchange format
Stars: ✭ 64 (+113.33%)
BRAINSToolsA suite of tools for medical image processing focused on brain analysis
Stars: ✭ 94 (+213.33%)
awesome-cogsciAn Awesome List of Cognitive Science Resources
Stars: ✭ 71 (+136.67%)
brain-monitorA terminal app written in Node.js to monitor brain signals in real-time
Stars: ✭ 119 (+296.67%)
PsyNeuLinkA block modeling system for cognitive neuroscience
Stars: ✭ 73 (+143.33%)
elephantElephant is the Electrophysiology Analysis Toolkit
Stars: ✭ 140 (+366.67%)
DL-NCspiking-neural-networks
Stars: ✭ 34 (+13.33%)
connectomemapper3Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Stars: ✭ 45 (+50%)
spykesimExtended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
Stars: ✭ 18 (-40%)
brainlitMethod container for computational neuroscience on brains.
Stars: ✭ 20 (-33.33%)
arborThe Arbor multi-compartment neural network simulation library.
Stars: ✭ 87 (+190%)
pydraPydra Dataflow Engine
Stars: ✭ 93 (+210%)
coinstacCollaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation
Stars: ✭ 34 (+13.33%)
spikesortersPython-based module with spike sorter wrappers and a simple API for running them.
Stars: ✭ 19 (-36.67%)
spikeinterfaceA Python-based module for creating flexible and robust spike sorting pipelines.
Stars: ✭ 193 (+543.33%)
ecogVISTime series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
Stars: ✭ 18 (-40%)
ndstorecode for storing neurodata images and image annotations
Stars: ✭ 39 (+30%)
spikeflowPython library for easy creation and running of spiking neural networks in tensorflow.
Stars: ✭ 30 (+0%)
Dcm2BidsReorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Stars: ✭ 109 (+263.33%)
giftiMATLAB/Octave GIfTI Library
Stars: ✭ 16 (-46.67%)
nidbNeuroInformatics Database
Stars: ✭ 26 (-13.33%)
nftsimC++ library for simulation of multiscale neural field dynamics
Stars: ✭ 24 (-20%)
pyRiemannPython machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry
Stars: ✭ 470 (+1466.67%)
navisPython 3 library for analysis of neuroanatomical data
Stars: ✭ 68 (+126.67%)
CellExplorerCellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
Stars: ✭ 55 (+83.33%)
brainGraphGraph theory analysis of brain MRI data
Stars: ✭ 136 (+353.33%)
nengo-dlDeep learning integration for Nengo
Stars: ✭ 76 (+153.33%)
CNCC-2019Computational Neuroscience Crash Course (CNCC 2019)
Stars: ✭ 26 (-13.33%)
nmodlCode Generation Framework For NEURON MODeling Language
Stars: ✭ 42 (+40%)
ipyp5p5.js Jupyter Widget
Stars: ✭ 33 (+10%)
MITK-DiffusionMITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
Stars: ✭ 47 (+56.67%)
artificial-neural-variability-for-deep-learningThe PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.
Stars: ✭ 34 (+13.33%)
MorphIOA python and C++ library for reading and writing neuronal morphologies
Stars: ✭ 25 (-16.67%)