Fast synchronization of perceptual grouping in laminar visual cortical circuits

Neural Networks : the Official Journal of the International Neural Network Society
Arash Yazdanbakhsh, S Grossberg

Abstract

Perceptual grouping is well known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of such groupings. Recent psychophysical and neurophysiological evidence have shown that the grouping process can facilitate rapid synchronization of the cells that are bound together by a grouping, even when the grouping must be completed across regions that receive no contrastive inputs. Synchronous grouping can hereby bind together different object parts that may have become desynchronized due to a variety of factors, and can enhance the efficiency of cortical transmission. Neural models of perceptual grouping have clarified how such fast synchronization may occur by using bipole grouping cells, whose predicted properties have been supported by psychophysical, anatomical, and neurophysiological experiments. These models have not, however, incorporated some of the realistic constraints in which groupings in the brain are conditioned, notably the measured spatial extent of long-range interactions in layer 2/3 of a grouping network, and realistic synaptic and axonal signaling delays within and across cells in differ...Continue Reading

References

Mar 15, 1991·The Journal of Comparative Neurology·B A McGuireT N Wiesel
Jan 1, 1985·Advances in Alcohol & Substance Abuse·D B Kandel
Aug 1, 1985·Perception & Psychophysics·S Grossberg, E Mingolla
Jan 17, 1984·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·J C Horton
Jun 15, 1984·Science·R von der HeydtG Baumgartner
Aug 18, 1995·Science·R J DouglasH H Suarez
Jan 1, 1994·Perception & Psychophysics·S Grossberg
Jan 1, 1993·Biological cybernetics·D Somers, N Kopell
Jun 6, 1996·Nature·S ThorpeC Marlot
Dec 1, 1994·Journal of Computational Neuroscience·C Van VreeswijkG B Ermentrout
Mar 1, 1997·Trends in Neurosciences·S GrossbergW D Ross
Jan 1, 1996·Journal of Physiology, Paris·A AertsenM O Gewaltig
Aug 1, 1997·Biological cybernetics·S GrossbergM A Cohen
Apr 8, 1998·Annual Review of Neuroscience·E M Callaway
Aug 11, 1998·Neural Computation·C van Vreeswijk, H Sompolinsky
Sep 22, 1999·Neural Computation·S R CampbellC Jayaprakash
Oct 5, 2001·Nature Reviews. Neuroscience·A K EngelW Singer
Nov 3, 2001·Brain Research. Brain Research Reviews·J Bullier
May 2, 2002·Biological cybernetics·Arash YazdanbakhshAbdolhosein Abbassian
Jan 11, 2003·Journal of Neurophysiology·Thomas R Tucker, Lawrence C Katz
Mar 7, 2003·Nature·Aaron R Seitz, Takeo Watanabe
Mar 18, 2003·Vision Research·Stephen Grossberg, Piers D L Howe
Mar 29, 2003·Neural Networks : the Official Journal of the International Neural Network Society·S J Olson, S Grossberg

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Citations

Jan 30, 2010·Journal of Computational Neuroscience·Jasmin LéveilléStephen Grossberg
Dec 4, 2009·PloS One·Elliot Freeman, Preeti Verghese
Oct 22, 2013·Trends in Cognitive Sciences·Wolf Singer
Nov 15, 2012·Neural Networks : the Official Journal of the International Neural Network Society·Stephen Grossberg
Jun 29, 2006·Psychological Review·Stephen Grossberg, Don Seidman
Jun 6, 2008·Brain Research·Stephen Grossberg, Massimiliano Versace
Apr 15, 2008·Neural Networks : the Official Journal of the International Neural Network Society·Giuseppe-Emiliano La Cara, Mauro Ursino
Oct 30, 2007·Neural Networks : the Official Journal of the International Neural Network Society·Stephen Grossberg
Oct 13, 2006·Neural Networks : the Official Journal of the International Neural Network Society·Quang-Cuong Pham, Jean-Jacques Slotine
Mar 12, 2009·Vision Research·Jason Bell, David R Badcock
Oct 27, 2009·Vision Research·Donald J KalarPhilip J Kellman
Aug 16, 2016·Frontiers in Psychology·Birgitta Dresp-Langley, Stephen Grossberg
Jul 16, 2017·Vision Research·Daniel D Kurylo, Farhan Bukhari

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