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Sep, 2019
具有高性能浅层循环人工神经网络的类脑对象识别
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
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Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham...
TL;DR
本研究开发了一个具有四个解剖学区域和循环连接的 CORnet-S 模型,并研究了其在大规模神经和行为基准中的功能保真度,结果显示出 CORnet-S 比其他紧凑模型在ImageNet任务方面具有更好的性能,从而成为目前灵长类下视觉系统最好的模型。
Abstract
Deep convolutional artificial neural networks (ANNs) are the leading class of candidate models of the mechanisms of
visual processing
in the
primate ventral stream
. While initially inspired by
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