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Updated: Jan 6, 2026

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
Published on: December 8, 2023
Sensory stimulation shifts visual cortex from synchronous to asynchronous states
Andrew Y Y Tan1, Yuzhi Chen2, Benjamin Scholl1
11] Center for Perceptual Systems, University of Texas, Austin, Texas 78712, USA [2] Department of Neuroscience, College of Natural Sciences, University of Texas, Austin, Texas 78712, USA [3].
Mammalian cerebral cortex activity is highly variable. This study reveals that during fixation, neural activity is synchronous, shifting to an asynchronous state with visual stimulation, challenging previous models.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Neural responses in the mammalian cerebral cortex exhibit high variability during both spontaneous activity and sensory stimulation.
- Two main hypotheses explain this variability: an asynchronous high-conductance state or infrequent correlated input events causing large membrane potential fluctuations.
- Distinguishing between these states is crucial for understanding cortical computation.
Purpose of the Study:
- To investigate the state of the primary visual cortex (V1) in behaving monkeys during spontaneous and stimulated activity.
- To differentiate between the asynchronous high-conductance state and correlated input event hypotheses for neural variability.
- To determine how sensory stimulation affects cortical network states.
Main Methods:
- Developed a novel technique for whole-cell membrane potential (Vm) measurements in the cortex of behaving monkeys.
- Focused recordings on the primary visual cortex (V1) during a visual fixation task.
- Correlated Vm fluctuations with simultaneously recorded local field potential (LFP) to assess network activity.
Main Results:
- Contrary to the asynchronous state prediction, mean Vm during fixation was significantly below threshold, with spiking driven by large, infrequent fluctuations.
- Vm distributions were skewed, consistent with correlated input events rather than Gaussian input.
- Visual stimulation shifted Vm towards threshold, made fluctuations more Gaussian, and disrupted neural-network correlations, resembling an asynchronous state.
Conclusions:
- The mammalian cerebral cortex operates in a synchronous state during spontaneous activity, characterized by infrequent correlated inputs.
- Sensory drive can transition cortical circuitry from a synchronous to an asynchronous state.
- These findings challenge the prevailing view of a constantly asynchronous cortical state in alert animals.
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