Can Deep Generative Models Explain Brain Function in People with Developmental Dyslexia?-Reference-Cited by-同舟云学术

Can Deep Generative Models Explain Brain Function in People with Developmental Dyslexia?

Published:2023-05-19 Issue:10 Volume:12 Page:2305
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Ogawa Hiroto¹,Ogoshi Sakiko¹,Ogoshi Yasuhiro²,Nakai Akio³

Affiliation:

1. National Institute of Technology, Fukui College, Fukui 916-8507, Japan

2. The Department of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan

3. Graduate School of Clinical Education & The Center for the Study of Child Development, Institute for Education, Mukogawa Women’s University, Hyogo, Nishinomiya 663-8558, Japan

Abstract

Many developmental disorders are diagnosed based on symptoms, which may result in lumping together multiple causes. This is thought to be a factor that complicates the research and treatment of developmental disorders. The purpose of this study is to provide hypotheses on the causes of brain functions in developmental dyslexia (DD) by constructing and analyzing a simple computational model of visual information processing using a deep generative model. We then analyze three symptoms observed in DD and investigate their functions and causes.

Funder

KAKENHI

National Institute of Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/10/2305/pdf

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