Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision-Reference-Cited by-同舟云学术

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Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Published:2017-10-20 Issue:12 Volume:28 Page:4136-4160
ISSN:1047-3211
Container-title:Cerebral Cortex
language:en
Short-container-title:

Author:

Wen Haiguang¹²,Shi Junxing¹²,Zhang Yizhen¹²,Lu Kun-Han¹²,Cao Jiayue²³,Liu Zhongming¹²³

Affiliation:

1. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

2. Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA

3. Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

Link

http://academic.oup.com/cercor/article-pdf/28/12/4136/26338870/bhx268.pdf

Reference88 articles.

1. Correspondences between retinotopic areas and myelin maps in human visual cortex;Abdollahi;Neuroimage,2014

2. Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method;Adolf;Fron Neuroinform,2014

3. How to explain individual classification decisions;Baehrens;J Machine Learn Res,2010

4. Canonical microcircuits for predictive coding;Bastos;Neuron,2012

5. Two neural pathways of face processing: a critical evaluation of current models;Bernstein;Neurosci Biobehav Rev,2015

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