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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. / Markounikau, Valentin; Igel, Christian; Grinvald, Amiram; Jancke, Dirk.

I: P L o S Computational Biology, Bind 6, Nr. 9, e1000919, 2010.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Markounikau, V, Igel, C, Grinvald, A & Jancke, D 2010, 'A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging', P L o S Computational Biology, bind 6, nr. 9, e1000919. https://doi.org/10.1371/journal.pcbi.1000919

APA

Markounikau, V., Igel, C., Grinvald, A., & Jancke, D. (2010). A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. P L o S Computational Biology, 6(9), [e1000919]. https://doi.org/10.1371/journal.pcbi.1000919

Vancouver

Markounikau V, Igel C, Grinvald A, Jancke D. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. P L o S Computational Biology. 2010;6(9). e1000919. https://doi.org/10.1371/journal.pcbi.1000919

Author

Markounikau, Valentin ; Igel, Christian ; Grinvald, Amiram ; Jancke, Dirk. / A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. I: P L o S Computational Biology. 2010 ; Bind 6, Nr. 9.

Bibtex

@article{6f467058205246e6a39b002835082993,
title = "A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging",
abstract = "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.",
author = "Valentin Markounikau and Christian Igel and Amiram Grinvald and Dirk Jancke",
year = "2010",
doi = "10.1371/journal.pcbi.1000919",
language = "English",
volume = "6",
journal = "P L o S Computational Biology (Online)",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

AU - Markounikau, Valentin

AU - Igel, Christian

AU - Grinvald, Amiram

AU - Jancke, Dirk

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pcbi.1000919

DO - 10.1371/journal.pcbi.1000919

M3 - Journal article

C2 - 20838578

VL - 6

JO - P L o S Computational Biology (Online)

JF - P L o S Computational Biology (Online)

SN - 1553-734X

IS - 9

M1 - e1000919

ER -

ID: 32644368