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2021 ◽  
Author(s):  
Jie Zhang ◽  
Xiaocang Zhu ◽  
Shanshan Wang ◽  
Hossein Esteky ◽  
Yonghong Tian ◽  
...  

Visual search depends on both the foveal and peripheral visual system, yet the foveal attention mechanisms is still lack of insights. We simultaneously recorded the foveal and peripheral activities in V4, IT and LPFC, while monkeys performed a category-based visual search task. Feature attention enhanced responses of Face-selective, House-selective, and Non-selective foveal cells in visual cortex. While foveal attention effects appeared no matter the peripheral attention effects, paying attention to the foveal stimulus dissipated the peripheral feature attentional effects, and delayed the peripheral spatial attentional effects. When target features appeared both in the foveal and the peripheral, feature attention effects seemed to occur predominately in the foveal, which might not distribute across the visual field according to common view of distributed feature attention effects. As a result, the parallel attentive process seemed to occur during distractor fixations, while the serial process predominated during target fixations in visual search.


2021 ◽  
Vol 13 (5) ◽  
pp. 1287-1296
Author(s):  
Wei Jiang ◽  
Xiaoyu Wang ◽  
Jinchang Ren ◽  
Sen Li ◽  
Meijun Sun ◽  
...  

2021 ◽  
Vol 60 (08) ◽  
Author(s):  
Guangqiang Li ◽  
Junyi Hou ◽  
Zhong Chen ◽  
Lei Yu ◽  
Shumin Fei

2021 ◽  
Author(s):  
Yuanzhi Wang ◽  
Tao Lu ◽  
Yanduo Zhang ◽  
Wenhua Fang ◽  
Yuntao Wu ◽  
...  

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Aurelio Cortese ◽  
Asuka Yamamoto ◽  
Maryam Hashemzadeh ◽  
Pradyumna Sepulveda ◽  
Mitsuo Kawato ◽  
...  

The human brain excels at constructing and using abstractions, such as rules, or concepts. Here, in two fMRI experiments, we demonstrate a mechanism of abstraction built upon the valuation of sensory features. Human volunteers learned novel association rules based on simple visual features. Reinforcement-learning algorithms revealed that, with learning, high-value abstract representations increasingly guided participant behaviour, resulting in better choices and higher subjective confidence. We also found that the brain area computing value signals - the ventromedial prefrontal cortex - prioritized and selected latent task elements during abstraction, both locally and through its connection to the visual cortex. Such a coding scheme predicts a causal role for valuation. Hence, in a second experiment, we used multivoxel neural reinforcement to test for the causality of feature valuation in the sensory cortex, as a mechanism of abstraction. Tagging the neural representation of a task feature with rewards evoked abstraction-based decisions. Together, these findings provide a novel interpretation of value as a goal-dependent, key factor in forging abstract representations.


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