Variations of parameters in the “position” and “shape” stimulus datasets.

(A). The center-dot distance d of the “position” dataset was varied and the classification accuracy rates of the network with 0% and 30% LRCs were measured. Note that the performance of the network without LRCs (LRC 0%) decreased significantly as d was...

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Bibliographic Details
Main Author:	Seungdae Baek (14048664) (author)
Other Authors:	Youngjin Park (195938) (author), Se-Bum Paik (242170) (author)
Published:	2023
Subjects:	Neuroscience Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> long using computational simulations results provide insight range horizontal connections dense local connections conspicuous anatomical structures theoretical model demonstrates sparse lrcs added balance functional performance world network depends primary visual cortex model network world network model simulation world coefficient visual processing visual information visual cortex network exceeds network appeared various sizes various conditions strongly correlated specific wiring specific existence key components fully understood efficient integration detailed functions cortices validates cortical circuits certain threshold biological strategy animal data &# 8220
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Variations of parameters in the “position” and “shape” stimulus datasets.

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