Fixational eye movements enhance the precision of visual information transmitted by the primate retina.

Autor: Wu, Eric G., Brackbill, Nora, Rhoades, Colleen, Kling, Alexandra, Gogliettino, Alex R., Shah, Nishal P., Sher, Alexander, Litke, Alan M., Simoncelli, Eero P., Chichilnisky, E. J.
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Zdroj: Nature Communications; 9/11/2024, Vol. 15 Issue 1, p1-15, 15p
Abstrakt: 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. The visual signals transmitted by the retina to the brain are affected by random drift in eye position, but the impact of this on visual capabilities is not clear. Here, the authors show that the decoding of images from evoked spike trains recorded in the macaque retina improves with fixational eye movements, even when the eye position is unknown. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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