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Elephant is the Electrophysiology Analysis Toolkit
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Django/Angular software for graphing neural activity data (analog signals, spike trains etc.) read from Neo files.
A Python package for simulator-independent specification of neuronal network models.
This package provides Python libNeuroML, for working with neuronal models specified in NeuroML
neuroConstruct: biophysically detailed neuronal modelling in 3D
lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
Docker images for neuroscience
NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.
synthesizing moving textures tailored to study motion detection
Python pipelines to simulate and manipulate neuronal models, and networks thereof, described in NineML (http://nineml.net)
Special Interest Group on Standardised Representations of Network Structures
A tutorial on neuroinformatics resources for computational modellers
Analysis of electrophysiology in Python
Management of large, hierarchical parameter sets for modelling and simulation
Model-based stimulus synthesis of natural-like random textures for the study of motion perception
Fliers, images, etc