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Research Article: New Research, Sensory and Motor Systems

Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuli

Michaela Vystrčilová, Shashwat Sridhar, Max F. Burg, Mohammad H. Khani, Dimokratis Karamanlis, Helene M. Schreyer, Varsha Ramakrishna, Steffen Krüppel, Sören J. Zapp, Matthias Mietsch, Tim Gollisch and Alexander S. Ecker
eNeuro 19 March 2026, ENEURO.0060-26.2026; https://doi.org/10.1523/ENEURO.0060-26.2026
Michaela Vystrčilová
1University of Göttingen, Institute of Computer Science and Campus Institute Data Science, Göttingen, Germany;
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Shashwat Sridhar
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Max F. Burg
1University of Göttingen, Institute of Computer Science and Campus Institute Data Science, Göttingen, Germany;
6International Max Planck Research School for Intelligent Systems, Tübingen, Germany;
7Tübingen AI Center, University of Tübingen, Germany;
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Mohammad H. Khani
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Dimokratis Karamanlis
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Helene M. Schreyer
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Varsha Ramakrishna
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
8International Max Planck Research School for Neurosciences, Göttingen;
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Steffen Krüppel
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Sören J. Zapp
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
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Matthias Mietsch
9German Primate Center, Laboratory Animal Science Unit, Göttingen;
10German Center for Cardiovascular Research, Partner Site Göttingen
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Tim Gollisch
2University Medical Center Göttingen, Department of Ophthalmology, Göttingen, Germany;
3Bernstein Center for Computational Neuroscience Göttingen;
5Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), University of Göttingen;
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Alexander S. Ecker
1University of Göttingen, Institute of Computer Science and Campus Institute Data Science, Göttingen, Germany;
4Max Planck Institute for Dynamics and Self-Organization, Göttingen;
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  • For correspondence: ecker{at}cs.uni-goettingen.de
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Abstract

The retina encodes a broad range of stimuli, adapting its computations to features like brightness, contrast, and motion. However, it is unclear whether it also adapts when switching between natural scenes and white noise. To address this, we analyzed the neural activity of male marmoset retinal ganglion cells (RGCs) in response to white noise and naturalistic movies. We trained linear-nonlinear models on both stimuli, evaluated their performance, and compared their receptive fields across stimulus domains. We found that models with spatial filters trained on one stimulus ensemble were less accurate when predicting neural activity on the other compared to models trained directly on the target stimulus. This suggests that spatial processing adapts to stimulus statistics. Different RGC types exhibited distinct changes: The OFF midget cells’ receptive fields became enlarged under natural movies, resulting in a lower cutoff frequency. Parasol cells and large OFF cells did not significantly change their receptive field sizes. All cell types exhibited stronger surrounds under natural movies, resembling the whitening filters predicted by efficient coding for stimulus decorrelation, prompting us to test whether these changes were related to the different spectral content of the two stimulus types. Quantifying the effects of the filters’ enhanced surrounds on the stimulus power spectrum showed a significant contribution towards whitening only in ON parasol cells, where a whitening effect emerged regardless of the training stimulus. These results suggest that while RGCs adapt to the differences between white noise and natural movie stimuli, efficient coding can only partially account for this adaptation.

Significance statement Natural scenes differ from artificial stimuli in many properties, including spatial frequency structure. How the retina adapts to these differences remains unclear. To explore this, we studied responses of four primate retinal ganglion cell types to white noise and natural stimuli and compared their receptive field properties. We found that midget cells enlarge their receptive field centers and strengthen their surrounds under natural stimulation, whereas others show enhanced surrounds without center size changes. These modifications qualitatively match predictions of efficient coding based on differences in stimulus power spectra. However, in three of four cell types, stronger surrounds did not substantially whiten responses to natural movies, contrary to theoretical expectations. Thus, efficient coding alone cannot fully account for retinal adaptation mechanisms.

Footnotes

  • This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project IDs 432680300 (SFB 1456, project B05) and 515774656 – and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement number 101041669). Computing time was made available on the high-performance computers HLRN-IV at GWDG at the NHR Center NHR@Göttingen under projects nim00010 and nim00012.

  • The author declare no competing interests.

  • The authors acknowledge the computing time made available on the high-performance computers HLRN-IV at GWDG at the NHR Center NHR@Göttingen. The center is jointly supported by the Federal Ministry of Education and Research and the state governments participating in the NHR (www.nhrverein.de/unsere-partner). M.F.B thanks the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuli
Michaela Vystrčilová, Shashwat Sridhar, Max F. Burg, Mohammad H. Khani, Dimokratis Karamanlis, Helene M. Schreyer, Varsha Ramakrishna, Steffen Krüppel, Sören J. Zapp, Matthias Mietsch, Tim Gollisch, Alexander S. Ecker
eNeuro 19 March 2026, ENEURO.0060-26.2026; DOI: 10.1523/ENEURO.0060-26.2026

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Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuli
Michaela Vystrčilová, Shashwat Sridhar, Max F. Burg, Mohammad H. Khani, Dimokratis Karamanlis, Helene M. Schreyer, Varsha Ramakrishna, Steffen Krüppel, Sören J. Zapp, Matthias Mietsch, Tim Gollisch, Alexander S. Ecker
eNeuro 19 March 2026, ENEURO.0060-26.2026; DOI: 10.1523/ENEURO.0060-26.2026
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