NeuralEnsemble/NeuroinformaticsTutorial

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Python
Created over 7 years ago
Updated about 5 years ago

NeuralEnsemble/NeuroinformaticsTutorial

NeuralEnsemble

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A tutorial on neuroinformatics resources for computational modellers

python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

PyNN

A Python package for simulator-independent specification of neuronal network models.

elephant

Elephant is the Electrophysiology Analysis Toolkit

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

lazyarray

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.

neurotune

Package for fitting/optimization of NeuroML models

cobrawap

Collaborative Brain Wave Analysis Pipeline (Cobrawap)

neuralensemble-docker

Docker images for neuroscience

MotionClouds

Synthesizing moving textures with parameterized features

Networks_SIG

INCF SIG on Standardised Representations of Network Structures

pyelectro

Analysis of electrophysiology in Python

motionclouds_website

Website for "Model-based stimulus synthesis of natural-like random textures for the study of motion perception"

Jupyter Notebook

pype9

Python pipelines to simulate and manipulate neuronal models, and networks thereof, described in NineML (http://nineml.net)

SimulationDataFormats