Pinned Repositories
neuroConstruct
neuroConstruct: biophysically detailed neuronal modelling in 3D
NeuroML2
This repository hosts the NeuroML 2 Schema, the ComponentType definitions in LEMS and the core documentation of NeuroML2.
NeuroMLlite
Work towards creating a common JSON based format for compact network specification
pyNeuroML
A single package in Python unifying scripts and modules for reading, writing, simulating and analysing NeuroML2/LEMS models.
OSBv2
An updated version of the Open Source Brain platform
c302
The c302 framework for generating multiscale network models of C. elegans
BabbageAnalyticalEngine
libNeuroML
This package provides Python libNeuroML, for working with neuronal models specified in NeuroML
pyelectro
Analysis of electrophysiology in Python
redmine
Redmine is a flexible project management web application written using Ruby on Rails framework.
pgleeson's Repositories
pgleeson/morphology_include
Test for https://github.com/NeuroML/NeuroML2/issues/150
pgleeson/neuralensemble-docker
Docker images for neuroscience
pgleeson/CE_locomotion
Neuromechanical model of locomotion in C. elegans (in collaboration with Dr. Erick Olivares and Prof. Randall Beer)
pgleeson/codespacesDemo
pgleeson/ConnectomeToolbox
Information on published connectomics data related to C. elegans
pgleeson/Corpus
Deevloping a corpus of literature on C. elegans
pgleeson/dandi-archive
DANDI API server and Web app
pgleeson/DANDIArchiveShowcase
Scripts for interacting with the DANDI Archive
pgleeson/FunctionalScala
The website for Functional Scala
pgleeson/GoCModel_Basic
network of gocs with low frequency background inputs
pgleeson/gsoc2016__brian2lems
Google Summer of Code project 2016 (Importing and exporting simulator-independent model-descriptions with the Brian simulator)
pgleeson/M1_NetPyNE_CellReports_2023
Multiscale model of mouse primary motor cortex (M1) circuits developed in NetPyNE
pgleeson/MGS
Model Graph Simulator (MGS) use two custom scripting languages: Model Definition Language (MDL) and Graph Specification Language (GSL). MDL allows model developers to define model data members and how data is exposed and receives and to generate C++ code that a model developer can modify.
pgleeson/mod2nml
pgleeson/modelspec
Functionality for specifying models & enabling automatic serialization - will be used by MDF & NeuroMLlite
pgleeson/neoSSL
pgleeson/NetPyNE-UI
NetPyNE User interface
pgleeson/Neuropeptide-Connectome
Scripts to run the analysis shown in the paper https://doi.org/10.1101/2022.10.30.514396
pgleeson/ngc-learn
NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
pgleeson/NLP-MDF
pgleeson/nwb_conversion
pgleeson/openneurolab
Gleeson Lab of Open Neuroscience & AI @ UCL
pgleeson/openworm_docs
Documentation for OpenWorm, i.e. docs.openworm.org
pgleeson/sibernetic
This is a C++ implementation of the Contractile SPH (Electrofluid) algorithm applied to C. elegans locomotion
pgleeson/TDANN
Topographic Deep Artificial Neural Networks
pgleeson/test_jlab
pgleeson/testerweb
Senses in Motion Symposium website
pgleeson/tvb-multiscale
Integration between TVB and NEST, for multiscale (co)simulations .
pgleeson/UCL_NeuroDataShare2023
examples of scripts how to use IBL-BWM dataset
pgleeson/wormneuroatlas
Neural signal propagation atlas (Randi et al.), genome (WormBase), single-cell transcriptome (Taylor et al.), neuropeptide/GPCR deorphanization (Beets et al.), monoaminergic connectome (Bentley et al.), and chemical-synapse sign predictions (Fenyves et al.) all in one place. Read the docs: https://francescorandi.github.io/wormneuroatlas/