A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

  • A neural field model is presented that captures the essential non-linear characteristics of activity dynamics across several millimeters of visual cortex in response to local flashed and moving stimuli. We account for physiological data obtained by voltage-sensitive dye (VSD) imaging which reports mesoscopic population activity at high spatio-temporal resolution. Stimulation included a single flashed square, a single flashed bar, the line-motion paradigm – for which psychophysical studies showed that flashing a square briefly before a bar produces sensation of illusory motion within the bar – and moving squares controls. We consider a two-layer neural field (NF) model describing an excitatory and an inhibitory layer of neurons as a coupled system of non-linear integro-differential equations. Under the assumption that the aggregated activity of both layers is reflected by VSD imaging, our phenomenological model quantitatively accounts for the observed spatio-temporal activity patterns. Moreover, the model generalizes to novel similar stimuli as it matches activity evoked by moving squares of different speeds. Our results indicate that feedback from higher brain areas is not required to produce motion patterns in the case of the illusory line-motion paradigm. Physiological interpretation of the model suggests that a considerable fraction of the VSD signal may be due to inhibitory activity, supporting the notion that balanced intra-layer cortical interactions between inhibitory and excitatory populations play a major role in shaping dynamic stimulus representations in the early visual cortex.

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Metadaten
Author:Valentin MarkounikauGND, Christian IgelORCiDGND, Amiram GrinvaldGND, Dirk JanckeORCiDGND
URN:urn:nbn:de:hbz:294-66504
DOI:https://doi.org/10.1371/journal.pcbi.1000919
Parent Title (English):PLoS Computational Biology
Publisher:Public Library of Science
Place of publication:San Francisco
Document Type:Article
Language:English
Date of Publication (online):2019/10/28
Date of first Publication:2010/09/09
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Volume:6
Issue:9, Artikel e1000919
First Page:e1000919-1
Last Page:e1000919-14
Institutes/Facilities:Institut für Neuroinformatik, Research Group Optical Imaging Group
Institut für Neuroinformatik, Lehrstuhl Theorie kognitiver Systeme
open_access (DINI-Set):open_access
faculties:International Graduate School of Neuroscience (IGSN)
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International