Literature DB >> 15647396

Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields.

Shinji Nishimoto1, Miki Arai, Izumi Ohzawa.   

Abstract

Orientation and spatial frequency selectivities are fundamental properties of cells in the early visual cortex. Although they are customarily tested with drifting sinusoidal gratings, a recently developed subspace reverse correlation method may be a better replacement for obtaining a selectivity map in a joint orientation and spatial frequency domain at higher resolution efficiently. These two methods are examined for their accuracy and data compatibility for cells in areas 17 and 18 of anesthetized and paralyzed cats. Peaks and bandwidths of tuning curves from these two methods are highly correlated. However, spatial frequency bandwidths obtained by reverse correlation tend to be slightly narrower for the subspace reverse correlation than those from the drifting grating tests. Consistency between the two methods is improved if the entire duration of data containing signal are taken into account for the subspace reverse correlation rather than using the map only at the optimal correlation delay. Examination of convergence of the subspace mapping process shows that reliable 2-day profiles can be obtained within 5-10 min. for the majority of cells. Temporal dynamics of tuning properties are also examined more directly with the subspace mapping than with the drifting gratings. For many cells, the optimal spatial frequency shifts substantially, measured as a fraction of tuning bandwidth, over the time course of response. In comparison, the optimal orientation remains highly stable throughout the duration of response. Overall, these results suggest that the subspace reverse correlation is a better substitute for the conventional method.

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Year:  2005        PMID: 15647396     DOI: 10.1152/jn.01169.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  26 in total

1.  Dynamics of spatial frequency tuning in mouse visual cortex.

Authors:  Samme Vreysen; Bin Zhang; Yuzo M Chino; Lutgarde Arckens; Gert Van den Bergh
Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

2.  Untuned suppression makes a major contribution to the enhancement of orientation selectivity in macaque v1.

Authors:  Dajun Xing; Dario L Ringach; Michael J Hawken; Robert M Shapley
Journal:  J Neurosci       Date:  2011-11-02       Impact factor: 6.167

3.  Complex cells in the cat striate cortex have multiple disparity detectors in the three-dimensional binocular receptive fields.

Authors:  Kota S Sasaki; Yuka Tabuchi; Izumi Ohzawa
Journal:  J Neurosci       Date:  2010-10-13       Impact factor: 6.167

4.  Neuronal selectivity and local map structure in visual cortex.

Authors:  Ian Nauhaus; Andrea Benucci; Matteo Carandini; Dario L Ringach
Journal:  Neuron       Date:  2008-03-13       Impact factor: 17.173

5.  Organization and origin of spatial frequency maps in cat visual cortex.

Authors:  Jérôme Ribot; Yonane Aushana; Emmanuel Bui-Quoc; Chantal Milleret
Journal:  J Neurosci       Date:  2013-08-14       Impact factor: 6.167

6.  Development of spatial coarse-to-fine processing in the visual pathway.

Authors:  Jasmine A Nirody
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

7.  Dynamics of tuning in the Fourier domain.

Authors:  Brian J Malone; Dario L Ringach
Journal:  J Neurophysiol       Date:  2008-05-14       Impact factor: 2.714

8.  Stimulus ensemble and cortical layer determine V1 spatial receptive fields.

Authors:  Chun-I Yeh; Dajun Xing; Patrick E Williams; Robert M Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-17       Impact factor: 11.205

9.  Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics.

Authors:  Gregor Kovacic; Louis Tao; David Cai; Michael J Shelley
Journal:  J Comput Neurosci       Date:  2008-04-08       Impact factor: 1.621

10.  Neurons in cat V1 show significant clustering by degree of tuning.

Authors:  Avi J Ziskind; Al A Emondi; Andrei V Kurgansky; Sergei P Rebrik; Kenneth D Miller
Journal:  J Neurophysiol       Date:  2015-02-04       Impact factor: 2.714

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