Literature DB >> 22170967

Uniform spatial spread of population activity in primate parafoveal V1.

Chris R Palmer1, Yuzhi Chen, Eyal Seidemann.   

Abstract

What are the shape and size of the region in primate V1 that processes information from a single point in visual space? This region, a fundamental property termed cortical point image (CPI) (McIlwain 1986), represents the minimal population of V1 neurons that can be activated by a visual stimulus and therefore has important implications for population coding in the cortex. Previous indirect attempts to measure the CPI in macaque V1 using sparse microelectrode recordings resulted in conflicting findings. Whereas some early studies suggested that CPI size is constant throughout V1 (e.g., Hubel and Wiesel 1974), others have reported large changes in CPI size in parafoveal V1 (e.g., Van Essen et al. 1984). To resolve this controversy, we used voltage-sensitive dye imaging in V1 of fixating monkeys to directly measure the subthreshold CPI and several related properties across a range of parafoveal eccentricities. We found that despite large changes in other properties of the retinotopic map, the subthreshold CPI is approximately constant and extends over ∼6 × 8 mm(2). This large and invariant CPI ensures a uniform representation of each point in visual space, with a complete representation of all visual features in V1, as originally proposed by Hubel and Wiesel (1974). In addition, we found several novel and unexpected asymmetries and anisotropies in the shapes of the CPI and the population receptive field. These results expand our understanding of the representation of visual space in V1 and are likely to be relevant for the representations of stimuli in other sensory cortical areas.

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Year:  2011        PMID: 22170967      PMCID: PMC3331671          DOI: 10.1152/jn.00117.2011

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


  36 in total

1.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

2.  The representation of the visual field on the cerebral cortex in monkeys.

Authors:  P M DANIEL; D WHITTERIDGE
Journal:  J Physiol       Date:  1961-12       Impact factor: 5.182

3.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

4.  Receptive fields of single neurones in the cat's striate cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1959-10       Impact factor: 5.182

5.  Optimal decoding of correlated neural population responses in the primate visual cortex.

Authors:  Yuzhi Chen; Wilson S Geisler; Eyal Seidemann
Journal:  Nat Neurosci       Date:  2006-10-22       Impact factor: 24.884

6.  Rapid and precise retinotopic mapping of the visual cortex obtained by voltage-sensitive dye imaging in the behaving monkey.

Authors:  Zhiyong Yang; David J Heeger; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2007-05-23       Impact factor: 2.714

7.  Relation between patterns of intrinsic lateral connectivity, ocular dominance, and cytochrome oxidase-reactive regions in macaque monkey striate cortex.

Authors:  T Yoshioka; G G Blasdel; J B Levitt; J S Lund
Journal:  Cereb Cortex       Date:  1996 Mar-Apr       Impact factor: 5.357

8.  Retinotopic organization in human visual cortex and the spatial precision of functional MRI.

Authors:  S A Engel; G H Glover; B A Wandell
Journal:  Cereb Cortex       Date:  1997-03       Impact factor: 5.357

9.  Population encoding of spatial frequency, orientation, and color in macaque V1.

Authors:  J D Victor; K Purpura; E Katz; B Mao
Journal:  J Neurophysiol       Date:  1994-11       Impact factor: 2.714

10.  The visual field representation in striate cortex of the macaque monkey: asymmetries, anisotropies, and individual variability.

Authors:  D C Van Essen; W T Newsome; J H Maunsell
Journal:  Vision Res       Date:  1984       Impact factor: 1.886

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  22 in total

1.  The relationship between voltage-sensitive dye imaging signals and spiking activity of neural populations in primate V1.

Authors:  Yuzhi Chen; Chris R Palmer; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

2.  Scale-Invariant Visual Capabilities Explained by Topographic Representations of Luminance and Texture in Primate V1.

Authors:  Giacomo Benvenuti; Yuzhi Chen; Charu Ramakrishnan; Karl Deisseroth; Wilson S Geisler; Eyal Seidemann
Journal:  Neuron       Date:  2018-11-01       Impact factor: 17.173

3.  Feedback to distal dendrites links fMRI signals to neural receptive fields in a spiking network model of the visual cortex.

Authors:  Hanna Heikkinen; Fariba Sharifian; Ricardo Vigario; Simo Vanni
Journal:  J Neurophysiol       Date:  2015-04-29       Impact factor: 2.714

4.  Long-range traveling waves of activity triggered by local dichoptic stimulation in V1 of behaving monkeys.

Authors:  Zhiyong Yang; David J Heeger; Randolph Blake; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2014-10-15       Impact factor: 2.714

Review 5.  Imaging Cajal's neuronal avalanche: how wide-field optical imaging of the point-spread advanced the understanding of neocortical structure-function relationship.

Authors:  Ron D Frostig; Cynthia H Chen-Bee; Brett A Johnson; Nathan S Jacobs
Journal:  Neurophotonics       Date:  2017-06-12       Impact factor: 3.593

6.  Nonlinear Lateral Interactions in V1 Population Responses Explained by a Contrast Gain Control Model.

Authors:  Melchi M Michel; Yuzhi Chen; Eyal Seidemann; Wilson S Geisler
Journal:  J Neurosci       Date:  2018-10-03       Impact factor: 6.167

7.  Compressive spatial summation in human visual cortex.

Authors:  Kendrick N Kay; Jonathan Winawer; Aviv Mezer; Brian A Wandell
Journal:  J Neurophysiol       Date:  2013-04-24       Impact factor: 2.714

Review 8.  Computational neuroimaging and population receptive fields.

Authors:  Brian A Wandell; Jonathan Winawer
Journal:  Trends Cogn Sci       Date:  2015-04-04       Impact factor: 20.229

Review 9.  Linking V1 Activity to Behavior.

Authors:  Eyal Seidemann; Wilson S Geisler
Journal:  Annu Rev Vis Sci       Date:  2018-07-05       Impact factor: 6.422

10.  Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.

Authors:  Jonathan Winawer; Kendrick N Kay; Brett L Foster; Andreas M Rauschecker; Josef Parvizi; Brian A Wandell
Journal:  Curr Biol       Date:  2013-06-13       Impact factor: 10.834

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