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Gollisch Lab's Projects

analysisfordspopulationcodes icon analysisfordspopulationcodes

Analysis methods for populations of direction-selective ganglion cells. Accompanying a manuscript by Kühn and Gollisch.

chromaticintegrationanalysis icon chromaticintegrationanalysis

Code for analyzing chromatic integration properties of recorded retinal ganglion cells in the data accompanying the paper by Khani and Gollisch, 2021.

convertdatmea icon convertdatmea

Extract channels from multielectrode array (MEA) recordings. Can convert from MSRD or MCD files to a binary format.

ggnb-python-course icon ggnb-python-course

GGNB Short Method Course "Spike-train analysis with Python" in the Gollisch Lab

irscellsimulation icon irscellsimulation

Simulation of a specific type of retinal ganglion cell under saccade-like image transitions. Accompanying a manuscript by Krishnamoorthy, Weick, and Gollisch.

phy-mea icon phy-mea

Phy (older version) stable for MEA recordings at the cost of lacking the latest features

pymer icon pymer

Collection of Python scripts for analyzing extracellular multielectrode array recordings from the retina in the Gollisch lab, Göttingen.

recreatewhitenoisestimuliwithpython icon recreatewhitenoisestimuliwithpython

Code for regenerating the random-number-based contrast values used for white-noise stimulation in the Gollisch Lab. Used for both temporal and spatiotemporal stimuli.

stnmf_with_afhals icon stnmf_with_afhals

A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated/fast HALS algorithms

stnmfanalysis icon stnmfanalysis

Code for neuronal subunit analysis with spike-triggered non-negative matrix factorization

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