ArticleNature communications2019
Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Hierarchical Flows of Human Cortical Activity.bioRxiv : the preprint server for biology · 2026Article
- Pumping up your predictive power for cognitive state detection with the proper GAINS.NeuroImage · 2025Article
- Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention.Communications biology · 2024Article
- Neurodynamical Computing at the Information Boundaries of Intelligent Systems.Cognitive computation · 2024Article
- Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing.Nature human behaviour · 2023Article
- Parabolic avalanche scaling in the synchronization of cortical cell assemblies.Nature communications · 2023Article
- Targeting operational regimes of interest in recurrent neural networks.PLoS computational biology · 2023Article
- Article
- Recurrent network interactions explain tectal response variability and experience-dependent behavior.eLife · 2023Article
- Complexity of cortical wave patterns of the wake mouse cortex.Nature communications · 2023Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Brain mechanisms of mental processing: from evoked and spontaneous brain activities to enactive brain activity.Psychoradiology · 2023Review
- Mutual information measure of visual perception based on noisy spiking neural networks.Frontiers in neuroscience · 2023Article
- Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits.Nature communications · 2022Article
- A hybrid biological neural network model for solving problems in cognitive planning.Scientific reports · 2022Article
- Less is more: wiring-economical modular networks support self-sustained firing-economical neural avalanches for efficient processing.National science review · 2022Article
- Article
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2 authors.
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Abstract
Cortical populations produce complex spatiotemporal activity spontaneously without sensory inputs. However, the fundamental computational roles of such spontaneous activity remain unclear. Here, we propose a new neural computation mechanism for understanding how spontaneous activity is actively involved in cortical processing: Computing by Modulating Spontaneous Activity (CMSA). Using biophysically plausible circuit models, we demonstrate that spontaneous activity patterns with dynamical properties, as found in empirical observations, are modulated or redistributed by external stimuli to give rise to neural responses. We find that this CMSA mechanism of generating neural responses provides profound computational advantages, such as actively speeding up cortical processing. We further reveal that the CMSA mechanism provides a unifying explanation for many experimental findings at both the single-neuron and circuit levels, and that CMSA in response to natural stimuli such as face images is the underlying neurophysiological mechanism of perceptual "bubbles" as found in psychophysical studies.
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