Synergistic Geniculate and Cortical Dynamics Facilitate a Decorrelated Spatial Frequency Code in the Early Visual System

A Ahmad Elsayed R Rolf Skyberg J Jianhua Cang C C. Daniel Meliza

Abstract

Sensory stimuli are encoded by the neuronal firing patterns they evoke in the brain. This neural code becomes less correlated as information ascends through the visual system. In the primary visual cortex (V1), a spatial frequency (SF) tuning shift from coarse-to-fine features occurs alongside a reduction in correlations between stimulus representations. Our previous study suggested that this decorrelation is facilitated by coarse-to-fine processing in V1. However, there is evidence that coarse-to-fine processing emerges in the upstream dorsal lateral geniculate nucleus (dLGN), and it is unknown whether correlations between stimulus representations also decrease in this brain region. Therefore, the extent to which decorrelation is inherited from dLGN, is driven by local circuit dynamics in V1, or is the result of synergy between these areas is unknown. In this study, we compared extracellular neuronal activity recorded from dLGN and V1 of mice (of either sex) in response to sinusoidal gratings of different SFs. Despite also exhibiting coarse-to-fine processing, dLGN did not exhibit decorrelation in contrast to V1, suggesting that decorrelation emerges following a cortical transformation. In V1, many units exhibited a delayed shift to suppression that interacted with coarse-to-fine shifts on a time course coinciding with the decorrelation. Our results are therefore consistent with decorrelation emerging in V1 from a synergy between response properties in both dLGN and V1. These results demonstrate that geniculocortical dynamics enable discrimination between rich visual details and highlight the importance of cross-regional synergy to sensory processing.

Article Details

Volume / Issue Vol. 46, Issue 1
Published January 07, 2026
Pages e1070252025
ISSN 0270-6474
Publisher Society for Neuroscience

Journal Info

Journal of Neuroscience

Society for Neuroscience

ISSN: 0270-6474 Life Sciences

Authors (4)

A

Ahmad Elsayed

R

Rolf Skyberg

J

Jianhua Cang

C

C. Daniel Meliza