Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision-Reference-Cited by-同舟云学术

Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision

Author:

Shi Junxing¹²,Wen Haiguang¹²,Zhang Yizhen¹²,Han Kuan¹²,Liu Zhongming¹²³^ORCID

Affiliation:

1. School of Electrical and Computer Engineering; Purdue University; West Lafayette Indiana 47906

2. Purdue Institute for Integrative Neuroscience, Purdue University; West Lafayette Indiana 47906

3. Weldon School of Biomedical Engineering; Purdue University; West Lafayette Indiana 47906

Funder

National Institute of Mental Health

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference69 articles.

2. Delving deeper into convolutional networks for learning video representations;Ballas;arXiv,2015

3. Boureau , Y.-L. Ponce , J. LeCun , Y. 2010 A theoretical analysis of feature pooling in visual recognition

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