Andrew Davison'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
bids-specification
Brain Imaging Data Structure (BIDS) Specification
bids2openminds
A tool to generate openMINDS metadata from BIDS datasets
ebrains-live-papers
EBRAINS Live Paper Builder
hbp-sp9-guidebook
The HBP Neuromorphic Computing Platform Guidebook + autogenerated HTML version
neural-activity-resource
Code, schemas and data for the Neural Activity Resource, part of the HBP Neuroinformatics Platform
neural-activity-visualizer
A Django app for graphing neural activity
nmpi-job-manager-app
Job Manager app for EBRAINS Neuromorphic Computing Service (version 2).
nwb2openminds
Read NWB files to construct metadata following the OpenMINDS standard
openMINDS_computation
A metadata model for simulation, data analysis and visualization provenance in neuroscience; an openMINDS extension
openMINDS_controlledTerms
Metadata model for the consistent registration of well-defined terms as well as a corresponding library of terminologies (including links to ontological terms where applicable).
openMINDS_core
The openMINDS core metadata model is comprised of schemas that can be used to describe the general origin, location and content of research products.
openMINDS_ephys
A metadata model for electrophysiology experiments; an openMINDS extension
openMINDS_stimulation
A metadata model for stimuli and stimulation in neuroscience; an openMINDS extension.
PyNN-mc-examples
A collection of example scripts for simulating networks of multicompartment neurons with PyNN
python-quantities
Quantities package for the python programming language
Snudda
Create realistic networks of neurons, synapses placed using touch detection between axons and dendrites