Silent suppressive surrounds and optimal spatial frequencies of single neurons in cat V1

Xu, Tao; Yan, Hongmei; Song, Xuemei; Li, Ming; Li, Yongjie

doi:10.1016/j.neulet.2015.04.039

Cited by 3 publications

(4 citation statements)

References 30 publications

(48 reference statements)

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“…As these locations are linked to other orientation domains of similar orientation selectivity, they may represent iso-orientation networks that process linear oriented aspects of shape contours [morphology ( 23 , 24 – 27 ) and function ( 28 , 29 )]. Consistent with this role of encoding the orientation of a linear contour segment, DP neurons exhibit large receptive fields that lack strong surround suppression and relatively lower SF preference ( 30 ).…”

Section: Discussionmentioning

confidence: 97%

Subdomains within orientation columns of primary visual cortex

Song

et al. 2019

Sci. Adv.

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In the mammalian visual system, early stages of visual form processing begin with orientation-selective neurons in primary visual cortex (V1). In many species (including humans, monkeys, tree shrews, cats, and ferrets), these neurons are organized in a beautifully arrayed pinwheel-like orientation columns, which shift in orientation preference across V1. However, to date, the relationship of orientation architecture to the encoding of multiple elemental aspects of visual contours is still unknown. Here, using a novel, highly accurate method of targeting electrode position, we report for the first time the presence of three subdomains within single orientation domains. We suggest that these zones subserve computation of distinct aspects of visual contours and propose a novel tripartite pinwheel-centered view of an orientation hypercolumn.

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Section: Discussionmentioning

confidence: 97%

Subdomains within orientation columns of primary visual cortex

Song

et al. 2019

Sci. Adv.

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“…For SS that has been widely reported in neurons across different hierarchical stages of visual information processing [ 9 , 66 , 67 ], it is commonly considered that SS plays a critical role in perceptual identification of objects from the background [ 8 , 10 , 68 – 71 ]. Although the characteristic of SS effects on neuronal response has been studied extensively [ 7 , 9 , 13 , 33 , 64 , 72 – 76 ], the mechanisms that SS mediates visual information encoding in the cRF are still not fully understood [ 3 , 22 , 69 , 77 – 83 ].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have shown that perceptual contrast sensitivity is closely correlated with neuronal response contrast sensitivity [26][27][28]30], and both of them depend on stimulus spatial frequencies (SFs) [24,25,[27][28][29][30][31][32]. Moreover, a recent study report that the SS strength of V1 neurons is also positively correlated with their preferred SFs [33]. Therefore, it is speculated that SS effect on the response contrast sensitivity may vary among neuronal populations with different preferred SFs.…”

Section: Neuronal Mechanism Of Surround Suppressionmentioning

confidence: 99%

“…It is known that the perceptual contrast sensitivity exhibits an evident dependence on stimulus spatial frequencies (SFs) [ 24 – 28 ], and neuronal response contrast sensitivity to visual stimuli is also dependent on the preferred SFs of cortical neurons [ 28 – 32 ]. Furthermore, a recent report showed that SS strength has a positive correlation with the preferred SFs of V1 neurons [ 33 ]. These results lead to a hypothesis that the effect of SS on neuronal contrast sensitivity may depend on neuronal SFs.…”

Section: Introductionmentioning

confidence: 99%

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Mechanisms of Surround Suppression Effect on the Contrast Sensitivity of V1 Neurons in Cats

et al. 2022

Neural Plasticity

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Surround suppression (SS) is a phenomenon that a neuron’s response to visual stimuli within the classical receptive field (cRF) is suppressed by a concurrent stimulation in the surrounding receptive field (sRF) beyond the cRF. Studies show that SS affects neuronal response contrast sensitivity in the primary visual cortex (V1). However, the underlying mechanisms remain unclear. Here, we examined SS effect on the contrast sensitivity of cats’ V1 neurons with different preferred SFs using external noise-masked visual stimuli and perceptual template model (PTM) analysis at the system level. The contrast sensitivity was evaluated by the inverted threshold contrast of neurons in response to circular gratings of different contrasts in the cRF with or without an annular grating in the sRF. Our results showed that SS significantly reduced the contrast sensitivity of cats’ V1 neurons. The SS-induced reduction of contrast sensitivity was not correlated with SS strength but was dependent on neuron’s preferred SF, with a larger reduction for neurons with low preferred SFs than those with high preferred SFs. PTM analysis of threshold versus external noise contrast (TvC) functions indicated that SS decreased contrast sensitivity by increasing both the internal additive noise and impact of external noise for neurons with low preferred SFs, but improving only internal additive noise for neurons with high preferred SFs. Furthermore, the SS effect on the contrast-response function of low- and high-SF neurons also exhibited different mechanisms in contrast gain and response gain. Collectively, these results suggest that the mechanisms of SS effect on neuronal contrast sensitivity may depend on neuronal populations with different SFs.

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Organization of spatial frequency in cat striate cortex

Zhang

et al. 2017

Neuroscience

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Silent suppressive surrounds and optimal spatial frequencies of single neurons in cat V1

Cited by 3 publications

References 30 publications

Subdomains within orientation columns of primary visual cortex

Subdomains within orientation columns of primary visual cortex

Mechanisms of Surround Suppression Effect on the Contrast Sensitivity of V1 Neurons in Cats

Organization of spatial frequency in cat striate cortex

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