NeuralEnsemble's repositories
python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
NeuroinformaticsTutorial
A tutorial on neuroinformatics resources for computational modellers
ephyviewer
Simple viewers for ephys signals, events, video and more
neuroConstruct
neuroConstruct: biophysically detailed neuronal modelling in 3D
libNeuroML
This package provides Python libNeuroML, for working with neuronal models specified in NeuroML
NeuroTools
NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.
neuralensemble-docker
Docker images for neuroscience
MotionClouds
Synthesizing moving textures with parameterized features
neo-viewer
Django/Angular/React software for graphing neural activity data (analog signals, spike trains etc.) read from Neo files.
Networks_SIG
INCF SIG on Standardised Representations of Network Structures
parameters
Management of large, hierarchical parameter sets for modelling and simulation
motionclouds_website
Website for "Model-based stimulus synthesis of natural-like random textures for the study of motion perception"
neuralensemble.github.io
Source for the neuralensemble.org website
nipy-artwork
Fliers, images, etc
python-quantities
Quantities package for the python programming language