Convolutional neural network models of the primate retina reveal adaptation to natural stimulus statistics

2024 | preprint. A publication with affiliation to the University of Göttingen.

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​Convolutional neural network models of the primate retina reveal adaptation to natural stimulus statistics​
Vystrčilová, M.; Sridhar, S.; Burg, M. F.; Gollisch, T.& Ecker, A. S. ​ (2024). DOI: https://doi.org/10.1101/2024.03.06.583740 

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Authors
Vystrčilová, Michaela; Sridhar, Shashwat; Burg, Max F.; Gollisch, Tim; Ecker, Alexander S. 
Issue Date
2024
Project
EXC 2067: Multiscale Bioimaging 
SFB 1456 | Cluster B | B05: Inference of functional networks in the neuronal circuit of the retina from large-scale spike-train recordings 
SFB 1456: Mathematik des Experiments: Die Herausforderung indirekter Messungen in den Naturwissenschaften 
Organization
Campus-Institut Data Science 
Working Group
RG Ecker (Neural Data Science) 
RG Gollisch (Sensory Processing in the Retina) 
External URL
https://mbexc.uni-goettingen.de/literature/publications/868

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