Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Biophysical Models: Neurovascular Coupling, Cortical Microcircuits, and Metabolism

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_522-1



Forward-generative models are considered crucial to interpret and integrate data obtained with different functional neuroimaging modalities (Riera 2014). Typically, these models are formulated to represent biological principles at the mesoscopic scale, which basically stand for an average voxel (1 mm3) in any brain imaging technique. To this end, biophysical models for neuronal activity, which are mostly available from the neuronal computationcommunity, have been modified to incorporate general physiological mechanisms governing glial cell activity, vascular dynamics, and metabolism. For the cerebral cortex, the most relevant brain structure in functional neuroimaging, a variety of such extended biophysical models has been consolidating around three main research topics over the last decade: (a) the principles for neurovascular coupling, (b) the organization of cortical microcircuits, and (c) the cellular...


GABAergic Interneuron Apical Dendrite Biophysical Model Axon Initial Segment Tonic Signaling 
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© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringFlorida International UniversityMiamiUSA