Temporal coding carries more stable cortical visual representations than firing rate over time

Stably representing recurring visual scenes is crucial for behavior. However, previous studies report varying degrees of gradual neural activity changes over time in slow dynamic (1-5 seconds) firing rate code. Here we show that temporal codes, which capture structures in visually evoked fast (tens of milliseconds) spiking patterns, support the stability of visual representations. We tracked the spiking responses of the same visual cortical populations in male mice for 15 consecutive days using custom-developed, large-scale, ultraflexible electrode arrays. Across various stimuli, neurons exhibited different day-to-day stability in their firing rate-based tuning. The across day stability correlated with tuning reliability. Notably, temporal codes increased single neuron tuning stability, especially for less reliable neurons. Temporal coding further improved population representation discriminability and decoding accuracy. The stability of temporal codes was more correlated with network functional connectivity than rate coding. Thus, temporal coding may be essential in ensuring consistent sensory experiences over time.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-04
DOI
https://doi.org/10.1038/s41467-025-62069-2
Citations
5
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
7.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal coding carries more stable cortical visual representations than firing rate over time

Lan Luan, Fei He, Pavlo Zolotavin, Andreas S. Tolias et al.
5 citations
Nature Communications
Neural dynamics and brain function
7.16
article

Temporal coding carries more stable cortical visual representations than firing rate over time

Lan Luan, Fei He, Pavlo Zolotavin, Andreas S. Tolias, Chong Xie, Saumil S. Patel, Hanlin Zhu
article en
5 citations

Abstract

Stably representing recurring visual scenes is crucial for behavior. However, previous studies report varying degrees of gradual neural activity changes over time in slow dynamic (1-5 seconds) firing rate code. Here we show that temporal codes, which capture structures in visually evoked fast (tens of milliseconds) spiking patterns, support the stability of visual representations. We tracked the spiking responses of the same visual cortical populations in male mice for 15 consecutive days using custom-developed, large-scale, ultraflexible electrode arrays. Across various stimuli, neurons exhibited different day-to-day stability in their firing rate-based tuning. The across day stability correlated with tuning reliability. Notably, temporal codes increased single neuron tuning stability, especially for less reliable neurons. Temporal coding further improved population representation discriminability and decoding accuracy. The stability of temporal codes was more correlated with network functional connectivity than rate coding. Thus, temporal coding may be essential in ensuring consistent sensory experiences over time.

Nature CommunicationsVol. 16(1)
Neurosciences Institute (US), Shanghai Institute of Optics and Fine Mechanics (CN), Stanford Medicine (US), Rice University (US), Stanford University (US)
Openalex Percentile: Top 3%
Neural dynamics and brain function
7.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Temporal coding carries more stable cortical visual representations than firing rate over time — Lan Luan, Fei He, et al. · Nature Communications (2025) | TGRS Research Map | TGRS