Probability distribution of connections between a second layer neuron and first layer neurons in different sub-networks as a function of the preferred feature of the first layer neurons.

<p>For every second layer neuron, the center of the probability distribution () was randomly chosen from all possible values in the stimulus space. Each line represents a circular normal distribution with different levels of the concentration parameter , as shown in the legend.</p>

সংরক্ষণ করুন:

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক:	Sunyoung Park (507160) (author)
অন্যান্য লেখক:	John T. Serences (7181243) (author)
প্রকাশিত:	2025
বিষয়গুলি:	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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Probability distribution of connections between a second layer neuron and first layer neurons in different sub-networks as a function of the preferred feature of the first layer neurons.

অনুরূপ উপাদানগুলি