INM-6 & IAS-6

beNNch

Modular performance benchmarking framework for neural network simulations

closed-loop-learning-in-autonomous-agents

Simulation and analysis scripts for "A closed-loop toolchain for neural network simulations of learning autonomous agents".

correlation-toolbox

Collection of functions to investigate correlations in spike trains and membrane potentials

elephant

Elephant is the ElectroPhysiology Analysis Toolkit

hybridLFPy

Biophysics-based prediction of LFPs from point-neuron networks

multi-area-model

A large-scale spiking model of the vision-related areas of macaque cortex.

networkunit

A SciUnit library for validation testing of spiking neural network models.

nnmt

Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io

Python-Module-of-the-Week

viziphant

Visualization of electrophysiological data from Elephant

INM-6/multi-area-model

A large-scale spiking model of the vision-related areas of macaque cortex.

INM-6/viziphant

Visualization of electrophysiological data from Elephant

INM-6/networkunit

A SciUnit library for validation testing of spiking neural network models.

INM-6/Python-Module-of-the-Week

INM-6/nnmt

Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io

INM-6/hybridLFPy

Biophysics-based prediction of LFPs from point-neuron networks

INM-6/elephant

Elephant is the ElectroPhysiology Analysis Toolkit

INM-6/beNNch

Modular performance benchmarking framework for neural network simulations

INM-6/python-odmltables

An interface to convert odML structues to and from table-like representations, such as spreadsheets

INM-6/swan

Swan (Sequential Waveform Analyzer) is an open-source graphical tool for tracking single units across multiple sessions of electrophysiological data that was recorded using chronically implanted microelectrode arrays.

INM-6/beaverdam

Build, Explore, and Visualize Experimental Data and Metadata

INM-6/reproducing-polychronization

INM-6/Builder

Compile scripts for local installs of software packages

INM-6/human-multi-area-model

INM-6/mesocircuit-model

Mesocircuit Model

INM-6/python-neo

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

INM-6/beNNch-models

PyNEST models for performance benchmarking with beNNch

INM-6/eligibility_propagation

INM-6/SAS

Assessing the similarity of real matrices with arbitrary shape.

INM-6/alpaca

Automated Lightweight Provenance Capture

INM-6/beNNch-plot

Plotting styles for beNNch

INM-6/neao_use_case

Repository containing the code necessary to reproduce the results of the Neuroelectrophysiology Analysis Ontology manuscript

INM-6/neuroephys_analysis_ontology

Neuroelectrophysiology Analysis Ontology (NEAO)

INM-6/SPADE_surrogates

Repository containing code necessary to reproduce the results of Stella, A., Bouss, P., Palm, G., & Grün, S. (2021). Generating surrogates for significance estimation of spatio-temporal spike patterns

INM-6/MAM2EBRAINS

A large-scale spiking model of the vision-related areas of macaque cortex.

INM-6/ThaCoMac

INM-6/alpaca_use_case

Repository containing the code necessary to reproduce the results of the Alpaca toolbox manuscript.

INM-6/gather-metadata

Collector for generic metadata of HPC execution environment focussed on benchmarking

INM-6/metadata-archivist

Lightweight framework for processing heterogeneous metadata files into a unified structured output

INM-6/sciunit

A Python framework for test-driven validation of scientific models.