Literature DB >> 12571113

The spatial pattern of response magnitude and selectivity for orientation and direction in cat visual cortex.

Nicholas V Swindale1, Amiram Grinvald, Amir Shmuel.   

Abstract

Optical imaging studies of orientation and direction preference in visual cortex have typically used vector averaging to obtain angle and magnitude maps. This method has shown half-rotation orientation singularities (pinwheels) located within regions of low orientation vector magnitude. Direction preference is generally orthogonal to orientation preference, but often deviates from this, particularly in regions of low direction vector magnitude. Linear regions of rapid change in direction preference terminate in or near orientation singularities. The vector-averaging method is problematic however because it does not clearly disambiguate spatial variation in orientation tuning width from variation in height. It may also wrongly estimate preferred direction in regions where preference is weak. In this paper we analyze optical maps of cat visual cortex by fitting model tuning functions to the responses. This new method reveals features not previously evident. Orientation tuning height and width vary independently across the map: tuning height is always low near singularities, however regions of broad and narrow orientation tuning width can be found in regions of low tuning height, often alternating in a spoke-like fashion around singularities. Orientation and direction preference angles are always closely orthogonal. Reversals in direction preference form lines that originate precisely in orientation singularities.

Mesh:

Year:  2003        PMID: 12571113     DOI: 10.1093/cercor/13.3.225

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  22 in total

1.  Mapping of contextual modulation in the population response of primary visual cortex.

Authors:  David M Alexander; Cees Van Leeuwen
Journal:  Cogn Neurodyn       Date:  2009-11-07       Impact factor: 5.082

2.  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

3.  Three-dimensional visual feature representation in the primary visual cortex.

Authors:  Shigeru Tanaka; Chan-Hong Moon; Mitsuhiro Fukuda; Seong-Gi Kim
Journal:  Neural Netw       Date:  2011-05-27

4.  Mixing of Chromatic and Luminance Retinal Signals in Primate Area V1.

Authors:  Xiaobing Li; Yao Chen; Reza Lashgari; Yulia Bereshpolova; Harvey A Swadlow; Barry B Lee; Jose Manuel Alonso
Journal:  Cereb Cortex       Date:  2014-01-23       Impact factor: 5.357

5.  A Model for the Origin of Motion Direction Selectivity in Visual Cortex.

Authors:  Alan W Freeman
Journal:  J Neurosci       Date:  2020-11-17       Impact factor: 6.167

6.  Response properties of local field potentials and neighboring single neurons in awake primary visual cortex.

Authors:  Reza Lashgari; Xiaobing Li; Yao Chen; Jens Kremkow; Yulia Bereshpolova; Harvey A Swadlow; Jose-Manuel Alonso
Journal:  J Neurosci       Date:  2012-08-15       Impact factor: 6.167

7.  Neural network model of the primary visual cortex: from functional architecture to lateral connectivity and back.

Authors:  Barak Blumenfeld; Dmitri Bibitchkov; Misha Tsodyks
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

8.  Bimodal modulation and continuous stimulation in optical imaging to map direction selectivity.

Authors:  M P Vanni; J Provost; C Casanova; F Lesage
Journal:  Neuroimage       Date:  2009-09-25       Impact factor: 6.556

9.  Orientation and Direction-of-Motion Response in the Middle Temporal Visual Area (MT) of New World Owl Monkeys as Revealed by Intrinsic-Signal Optical Imaging.

Authors:  Peter M Kaskan; Barbara C Dillenburger; Haidong D Lu; Anna W Roe; Jon H Kaas
Journal:  Front Neuroanat       Date:  2010-07-07       Impact factor: 3.856

10.  Surround suppression maps in the cat primary visual cortex.

Authors:  Matthieu P Vanni; Christian Casanova
Journal:  Front Neural Circuits       Date:  2013-04-25       Impact factor: 3.492

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