Feature-based attention simulations.

Feature-based attention simulations.

<p><b>A.</b> An example trial from the <i><i>sensory</i></i> task in which sub-network 1 was presented with a stimulus input at 157.5° for 300ms. There were 16 possible stimulus values presented in this sensory task, with the stimulus values uniformly tiling...

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書誌詳細
第一著者:	Sunyoung Park (507160) (author)
その他の著者:	John T. Serences (7181243) (author)
出版事項:	2025
主題:	Neuroscience Sociology Mental Health Biological Sciences not elsewhere classified Information Systems not elsewhere classified globally prime sensitivity early sensory areas random connections averaged completely random connections like representations arose behaviorally relevant stimuli second layer neurons based attentional modulations unstimulated sensory neurons different sensory neurons based attention </ spurious stimulus representations relevant stimulus led corresponding gain modulations modulating neurons tuned dimensional feature tuning feature selective neurons div >< p sensory neurons based attention spurious stimulus selective modulations relevant stimulus dimensional tuning neurons selective reciprocal connections relevant features neurons tuned without leading visual search subtly increasing spatial location single features results suggest responded robustly respond directly prefrontal cortex multiple features might interfere location – like high irrelevant features giving rise even modulate directly driven delicate balance cancelling benefits
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