ArticleFrontiers in computational neuroscience2021
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- The electrofluidic brain as a basement layer for neural computation.Communications biology · 2026Review
- Effects of Repeated Early-life Anesthesia Exposure on Visual System Development in Mice.Anesthesiology · 2026Article
- A New Perspective On Arterioectatic Spinal Angiopathy with a Reversible Pattern: Cause or Consequence?Clinical neuroradiology · 2025Article
- Cognition is entangled with metabolism: relevance for resting-state EEG-fMRI.Frontiers in human neuroscience · 2023Article
- Toward an integrative neurovascular framework for studying brain networks.Neurophotonics · 2022Article
- The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model.Frontiers in neuroscience · 2022Article
- Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network.Scientific reports · 2021Article
- A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex.Frontiers in computational neuroscience · 2021Article
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4 authors.
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Abstract
Neurovascular coupling is typically considered as a master-slave relationship between the neurons and the cerebral vessels: the neurons demand energy which the vessels supply in the form of glucose and oxygen. In the recent past, both theoretical and experimental studies have suggested that the neurovascular coupling is a bidirectional system, a loop that includes a feedback signal from the vessels influencing neural firing and plasticity. An integrated model of bidirectionally connected neural network and the vascular network is hence required to understand the relationship between the informational and metabolic aspects of neural dynamics. In this study, we present a computational model of the bidirectional neurovascular system in the whisker barrel cortex and study the effect of such coupling on neural activity and plasticity as manifest in the whisker barrel map formation. In this model, a biologically plausible self-organizing network model of rate coded, dynamic neurons is nourished by a network of vessels modeled using the biophysical properties of blood vessels. The neural layer which is designed to simulate the whisker barrel cortex of rat transmits vasodilatory signals to the vessels. The feedback from the vessels is in the form of available oxygen for oxidative metabolism whose end result is the adenosine triphosphate (ATP) necessary to fuel neural firing. The model captures the effect of the feedback from the vascular network on the neuronal map formation in the whisker barrel model under normal and pathological (Hypoxia and Hypoxia-Ischemia) conditions.
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