ArticleNature communications2025
Deciphering neuronal variability across states reveals dynamic sensory encoding.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Evolution and Reorganization of the Hierarchical Brain-wide Neuronal Network Through Anesthesia.Neuroscience bulletin · 2026Article
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Bypass neural interfaces for paralysis: clinical translation, challenges and future directions.Journal of neuroengineering and rehabilitation · 2026Review
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- Partitioning Neural Co-Variability.ArXiv · 2026Article
- Nonuniform spike count shared variability in the mouse early visual system.Journal of neurophysiology · 2026Article
- Uncovering Dynamic Neural Information Flow with Continuous-Time Weighted Dynamic Bayesian Networks.bioRxiv : the preprint server for biology · 2026Article
- Exploring the differences in neural oscillation mechanisms before and after sleep deprivation.Frontiers in neuroscience · 2026Article
- Dissociable sensory, motor, and visuomotor predictive functions.NPJ science of learning · 2025Article
- Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural Representation.bioRxiv : the preprint server for biology · 2025Article
- Map of spiking activity underlying change detection in the mouse visual system.bioRxiv : the preprint server for biology · 2025Article
- Global and local origins of trial-to-trial spike count variability in visual cortex.bioRxiv : the preprint server for biology · 2025Article
- Temporal coding carries more stable cortical visual representations than firing rate over time.Nature communications · 2025Article
- State modulation in spatial networks with three interneuron subtypes.Science advances · 2025Article
- Deciphering neuronal variability across states reveals dynamic sensory encoding.Nature communications · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Influenced by non-stationary factors such as brain states and behavior, neurons exhibit substantial response variability even to identical stimuli. However, it remains unclear how their relative impact on neuronal variability evolves over time. To address this question, we designed an encoding model conditioned on latent states to partition variability in the mouse visual cortex across internal brain dynamics, behavior, and external visual stimulus. Applying a hidden Markov model to local field potentials, we consistently identified three distinct oscillation states, each with a unique variability profile. Regression models within each state revealed a dynamic composition of factors influencing spiking variability, with the dominant factor switching within seconds. The state-conditioned regression model uncovered extensive diversity in source contributions across units, varying in accordance with anatomical hierarchy and internal state. This heterogeneity in encoding underscores the importance of partitioning variability over time, particularly when considering the influence of non-stationary factors on sensory processing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.