ArticleCommunications biology2019
Dynamical modeling of multi-scale variability in neuronal competition.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A novel image-based neuronal network model framework for understanding visual multistability and neurological disorders.Frontiers in computational neuroscience · 2026Article
- Layered structure of cortex explains reversal dynamics in bistable perception.Scientific reports · 2025Article
- Heterogeneous synaptic homeostasis: A novel mechanism boosting information propagation in the cortex.PLoS computational biology · 2025Article
- New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics.Frontiers in computational neuroscience · 2023Article
- Alternative female and male developmental trajectories in the dynamic balance of human visual perception.Scientific reports · 2022Article
- Functional Implications of Dale's Law in Balanced Neuronal Network Dynamics and Decision Making.Frontiers in neuroscience · 2022Article
- Article
- Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making.eLife · 2021Article
- Ring models of binocular rivalry and fusion.Journal of computational neuroscience · 2020Article
- Dynamical modeling of multi-scale variability in neuronal competition.Communications biology · 2019Article
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Authors and funding
3 authors.
Funding
Abstract
Variability is observed at multiple-scales in the brain and ubiquitous in perception. However, the nature of perceptual variability is an open question. We focus on variability during perceptual rivalry, a form of neuronal competition. Rivalry provides a window into neural processing since activity in many brain areas is correlated to the alternating perception rather than a constant ambiguous stimulus. It exhibits robust properties at multiple scales including conscious awareness and neuron dynamics. The prevalent theory for spiking variability is called the balanced state; whereas, the source of perceptual variability is unknown. Here we show that a single biophysical circuit model, satisfying certain mutual inhibition architectures, can explain spiking and perceptual variability during rivalry. These models adhere to a broad set of strict experimental constraints at multiple scales. As we show, the models predict how spiking and perceptual variability changes with stimulus conditions.
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