Fixational eye movements enhance the precision of visual information transmitted by the primate retina
Eric G. Wu (),
Nora Brackbill,
Colleen Rhoades,
Alexandra Kling,
Alex R. Gogliettino,
Nishal P. Shah,
Alexander Sher,
Alan M. Litke,
Eero P. Simoncelli and
E. J. Chichilnisky ()
Additional contact information
Eric G. Wu: Stanford University
Nora Brackbill: Stanford University
Colleen Rhoades: Stanford University
Alexandra Kling: Stanford University
Alex R. Gogliettino: Stanford University
Nishal P. Shah: Stanford University
Alexander Sher: University of California, Santa Cruz
Alan M. Litke: University of California, Santa Cruz
Eero P. Simoncelli: Simons Foundation
E. J. Chichilnisky: Stanford University
Nature Communications, 2024, vol. 15, issue 1, 1-15
Abstract:
Abstract Fixational eye movements alter the number and timing of spikes transmitted from the retina to the brain, but whether these changes enhance or degrade the retinal signal is unclear. To quantify this, we developed a Bayesian method for reconstructing natural images from the recorded spikes of hundreds of retinal ganglion cells (RGCs) in the macaque retina (male), combining a likelihood model for RGC light responses with the natural image prior implicitly embedded in an artificial neural network optimized for denoising. The method matched or surpassed the performance of previous reconstruction algorithms, and provides an interpretable framework for characterizing the retinal signal. Reconstructions were improved with artificial stimulus jitter that emulated fixational eye movements, even when the eye movement trajectory was assumed to be unknown and had to be inferred from retinal spikes. Reconstructions were degraded by small artificial perturbations of spike times, revealing more precise temporal encoding than suggested by previous studies. Finally, reconstructions were substantially degraded when derived from a model that ignored cell-to-cell interactions, indicating the importance of stimulus-evoked correlations. Thus, fixational eye movements enhance the precision of the retinal representation.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-024-52304-7 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52304-7
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-024-52304-7
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().