scholarly journals A Differential Circuit via Retino-Colliculo-Pulvinar Pathway Enhances Feature Selectivity in Visual Cortex through Surround Suppression

Neuron ◽  
2020 ◽  
Vol 105 (2) ◽  
pp. 355-369.e6 ◽  
Author(s):  
Qi Fang ◽  
Xiao-lin Chou ◽  
Bo Peng ◽  
Wen Zhong ◽  
Li I. Zhang ◽  
...  
2015 ◽  
Vol 15 (12) ◽  
pp. 1001
Author(s):  
Catherine Olsson ◽  
Kendrick Kay ◽  
Jonathan Winawer

Perception ◽  
2022 ◽  
Vol 51 (1) ◽  
pp. 60-69
Author(s):  
Li Zhaoping

Finding a target among uniformly oriented non-targets is typically faster when this target is perpendicular, rather than parallel, to the non-targets. The V1 Saliency Hypothesis (V1SH), that neurons in the primary visual cortex (V1) signal saliency for exogenous attentional attraction, predicts exactly the opposite in a special case: each target or non-target comprises two equally sized disks displaced from each other by 1.2 disk diameters center-to-center along a line defining its orientation. A target has two white or two black disks. Each non-target has one white disk and one black disk, and thus, unlike the target, activates V1 neurons less when its orientation is parallel rather than perpendicular to the neurons’ preferred orientations. When the target is parallel, rather than perpendicular, to the uniformly oriented non-targets, the target’s evoked V1 response escapes V1’s iso-orientation surround suppression, making the target more salient. I present behavioral observations confirming this prediction.


2013 ◽  
Vol 749 ◽  
pp. 333-337
Author(s):  
Shu Li Chen ◽  
Zhi Zhong Wang ◽  
Li Shi ◽  
Hong Wan ◽  
Xiao Ke Niu

Phase is an important feature of the local field potential (LFP) and plays a significant role in transmission and processing information in visual system. In this paper, the LFP of Long Evans rats primary visual cortex is recorded by the microelectrode array through the visual stimuli of the checkerboard and different orientation gratings. Then, a multi-mode phase extraction model based on the firing spikes was built. We found that neurons selective orientation information using the third intrinsic mode functions of local field potential during firing spikes.


2002 ◽  
Vol 42 (15) ◽  
pp. 1825-1835 ◽  
Author(s):  
Yoshio Ohtani ◽  
Shoichi Okamura ◽  
Yoshikazu Yoshida ◽  
Keisuke Toyama ◽  
Yoshimichi Ejima

2017 ◽  
Vol 118 (6) ◽  
pp. 3282-3292 ◽  
Author(s):  
Jason M. Samonds ◽  
Berquin D. Feese ◽  
Tai Sing Lee ◽  
Sandra J. Kuhlman

Complex receptive field characteristics, distributed across a population of neurons, are thought to be critical for solving perceptual inference problems that arise during motion and image segmentation. For example, in a class of neurons referred to as “end-stopped,” increasing the length of stimuli outside of the bar-responsive region into the surround suppresses responsiveness. It is unknown whether these properties exist for receptive field surrounds in the mouse. We examined surround modulation in layer 2/3 neurons of the primary visual cortex in mice using two-photon calcium imaging. We found that surround suppression was significantly asymmetric in 17% of the visually responsive neurons examined. Furthermore, the magnitude of asymmetry was correlated with orientation selectivity. Our results demonstrate that neurons in mouse primary visual cortex are differentially sensitive to the addition of elements in the surround and that individual neurons can be described as being either uniformly suppressed by the surround, end-stopped, or side-stopped. NEW & NOTEWORTHY Perception of visual scenes requires active integration of both local and global features to successfully segment objects from the background. Although the underlying circuitry and development of perceptual inference is not well understood, converging evidence indicates that asymmetry and diversity in surround modulation are likely fundamental for these computations. We determined that these key features are present in the mouse. Our results support the mouse as a model to explore the neural basis and development of surround modulation as it relates to perceptual inference.


2004 ◽  
Author(s):  
Tatyana Sharpee ◽  
Hiroki Sugihara ◽  
A. V. Kurgansky ◽  
S. Rebrik ◽  
M. P. Stryker ◽  
...  

2015 ◽  
Vol 15 (12) ◽  
pp. 1066 ◽  
Author(s):  
Tom Bullock ◽  
James Elliott ◽  
John Serences ◽  
Barry Giesbrecht

2020 ◽  
Author(s):  
Ali Almasi ◽  
Hamish Meffin ◽  
Shaun L. Cloherty ◽  
Yan Wong ◽  
Molis Yunzab ◽  
...  

AbstractVisual object identification requires both selectivity for specific visual features that are important to the object’s identity and invariance to feature manipulations. For example, a hand can be shifted in position, rotated, or contracted but still be recognised as a hand. How are the competing requirements of selectivity and invariance built into the early stages of visual processing? Typically, cells in the primary visual cortex are classified as either simple or complex. They both show selectivity for edge-orientation but complex cells develop invariance to edge position within the receptive field (spatial phase). Using a data-driven model that extracts the spatial structures and nonlinearities associated with neuronal computation, we show that the balance between selectivity and invariance in complex cells is more diverse than thought. Phase invariance is frequently partial, thus retaining sensitivity to brightness polarity, while invariance to orientation and spatial frequency are more extensive than expected. The invariance arises due to two independent factors: (1) the structure and number of filters and (2) the form of nonlinearities that act upon the filter outputs. Both vary more than previously considered, so primary visual cortex forms an elaborate set of generic feature sensitivities, providing the foundation for more sophisticated object processing.


2020 ◽  
Vol 30 (9) ◽  
pp. 5067-5087
Author(s):  
Ali Almasi ◽  
Hamish Meffin ◽  
Shaun L Cloherty ◽  
Yan Wong ◽  
Molis Yunzab ◽  
...  

Abstract Visual object identification requires both selectivity for specific visual features that are important to the object’s identity and invariance to feature manipulations. For example, a hand can be shifted in position, rotated, or contracted but still be recognized as a hand. How are the competing requirements of selectivity and invariance built into the early stages of visual processing? Typically, cells in the primary visual cortex are classified as either simple or complex. They both show selectivity for edge-orientation but complex cells develop invariance to edge position within the receptive field (spatial phase). Using a data-driven model that extracts the spatial structures and nonlinearities associated with neuronal computation, we quantitatively describe the balance between selectivity and invariance in complex cells. Phase invariance is frequently partial, while invariance to orientation and spatial frequency are more extensive than expected. The invariance arises due to two independent factors: (1) the structure and number of filters and (2) the form of nonlinearities that act upon the filter outputs. Both vary more than previously considered, so primary visual cortex forms an elaborate set of generic feature sensitivities, providing the foundation for more sophisticated object processing.


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