• Stars
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    13
  • Rank 1,504,747 (Top 30 %)
  • Language
    Dockerfile
  • License
    MIT License
  • Created about 9 years ago
  • Updated about 1 month ago

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Repository Details

Docker images for neuroscience

More Repositories

1

python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Python
316
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2

PyNN

A Python package for simulator-independent specification of neuronal network models.
Python
274
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3

elephant

Elephant is the Electrophysiology Analysis Toolkit
Python
195
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4

NeuroinformaticsTutorial

A tutorial on neuroinformatics resources for computational modellers
Python
63
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5

ephyviewer

Simple viewers for ephys signals, events, video and more
Python
51
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6

neuroConstruct

neuroConstruct: biophysically detailed neuronal modelling in 3D
Python
48
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7

libNeuroML

This package provides Python libNeuroML, for working with neuronal models specified in NeuroML
Python
39
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8

lazyarray

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
Python
20
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9

neurotune

Package for fitting/optimization of NeuroML models
Python
16
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10

cobrawap

Collaborative Brain Wave Analysis Pipeline (Cobrawap)
Python
15
star
11

MotionClouds

Synthesizing moving textures with parameterized features
Python
11
star
12

Networks_SIG

INCF SIG on Standardised Representations of Network Structures
HTML
7
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13

pyelectro

Analysis of electrophysiology in Python
Python
6
star
14

motionclouds_website

Website for "Model-based stimulus synthesis of natural-like random textures for the study of motion perception"
Jupyter Notebook
4
star
15

pype9

Python pipelines to simulate and manipulate neuronal models, and networks thereof, described in NineML (http://nineml.net)
Python
3
star
16

SimulationDataFormats

C
2
star