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Separation of traveling waves in cortical networks using optical imaging

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Date
2010
Link to item file
https://hal.archives-ouvertes.fr/hal-00450733
Dewey
Traitement du signal
Sujet
Signal reconstruction; Optical imaging; Inverse problems; Propagation; Partial differential equations
DOI
http://dx.doi.org/10.1109/ISBI.2010.5490124
Conference name
7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Conference date
04-2010
Conference city
Rotterdam
Conference country
Netherlands
Book title
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Publisher
IEEE
Publisher city
Piscataway, NJ
Year
2010
ISBN
978-1-4244-4125-9
URI
https://basepub.dauphine.fr/handle/123456789/16359
Collections
  • CEREMADE : Publications
Metadata
Show full item record
Author
Schmidt, Nicolas
Peyré, Gabriel
Fregnac, Yves
Roland, Per
Type
Communication / Conférence
Item number of pages
868-871
Abstract (EN)
This paper introduces a mathematical model of the spatio-temporal patterns of visually evoked activity observed using Voltage-Sensitive Dye Imaging (VSDI) of the visual cortex. The cortical activity is described using a linear superposition of waves traveling with different speeds. This model improves the quality of the wave detection and still respects the previous approaches, as it integrates several biologically plausible constraints: 1) separability of the sources in terms of cortical location; 2) separability of the waves in terms of propagation speed, and 3) additivity of the depolarizing effects of the waves. Under these assumptions, a traveling component analysis algorithm performs a full separation of the set of waves and recovers the locations of the neural sources. Both features could help to better understand the dynamics of evoked activity in cortical sensory networks.

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