ArticlePLoS computational biology2017
Top-down control of cortical gamma-band communication via pulvinar induced phase shifts in the alpha rhythm.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 47 citations in OpenAlex.
- A hierarchical multiscale model of forward and backward alpha-band traveling waves in the visual system.PLoS computational biology · 2025Article
- Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication.bioRxiv : the preprint server for biology · 2025Article
- Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility.Nature communications · 2025Article
- Synaptic effects on the intermittent synchronization of gamma rhythms.Cognitive neurodynamics · 2024Article
- Cortical dynamics of perception as trains of coherent gamma oscillations, with the pulvinar as central coordinator.Brain informatics · 2024Article
- Attentional selection and communication through coherence: Scope and limitations.PLoS computational biology · 2024Article
- Computational components of visual predictive coding circuitry.Frontiers in neural circuits · 2023Review
- Qualia and Phenomenal Consciousness Arise From the Information Structure of an Electromagnetic Field in the Brain.Frontiers in human neuroscience · 2022Article
- An oscillatory pipelining mechanism supporting previewing during visual exploration and reading.Trends in cognitive sciences · 2021Review
- Disentangling the influences of multiple thalamic nuclei on prefrontal cortex and cognitive control.Neuroscience and biobehavioral reviews · 2021Review
- The visual cortex produces gamma band echo in response to broadband visual flicker.PLoS computational biology · 2021Article
- Corticothalamic Projections Gate Alpha Rhythms in the Pulvinar.Frontiers in cellular neuroscience · 2021Article
- Pulvinar Modulates Synchrony across Visual Cortical Areas.Vision (Basel, Switzerland) · 2020Article
- The generation and propagation of the human alpha rhythm.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Dynamic Computation in Visual Thalamocortical Networks.Entropy (Basel, Switzerland) · 2019Review
- Engagement of Pulvino-cortical Feedforward and Feedback Pathways in Cognitive Computations.Neuron · 2019Article
- A robust dissociation among the language, multiple demand, and default mode networks: Evidence from inter-region correlations in effect size.Neuropsychologia · 2018Article
- Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation.PLoS computational biology · 2017Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selective routing of information between cortical areas is required in order to combine different sources of information according to cognitive demand. Recent experiments have suggested that alpha band activity originating from the pulvinar coordinates this inter-areal cortical communication. Using a computer model we investigated whether top-down induced shifts in the relative alpha phase between two cortical areas could modulate cortical communication, quantified in terms of changes in gamma band coherence between them. The network model was comprised of two uni-directionally connected neuronal populations of spiking neurons, each representing a cortical area. We find that the phase difference of the alpha oscillations modulating the two neuronal populations strongly affected the interregional gamma-band neuronal coherence. We confirmed that a higher gamma band coherence also resulted in more efficient transmission of spiking information between cortical areas, thereby confirming the value of gamma coherence as a proxy for cortical information transmission. In a model where both neuronal populations were connected bi-directionally, the relative alpha phase determined the directionality of communication between the populations. Our results show the feasibility of a physiological realistic mechanism for routing information in the brain based on coupled oscillations. Our model results in a set of testable predictions regarding phase shifts in alpha oscillations under different task demands requiring experimental quantification of neuronal oscillations in different regions in e.g. attention paradigms.
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