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Paper Abstract and Keywords
Presentation 2014-11-27 13:00
A context-dependent meaning-understanding model based on the neuroscientific facts -- Development and application of a content-addressable memory system equipped with the analog-digital element as a processor(neuron) and with the memory element(synapse) in the communication path between processors --
Miyuki Seino (Seino Information System) AI2014-16
Abstract (in Japanese) (See Japanese page) 
(in English) In order to model the memory system in neocortical association area, it will be clarified that the system learns and memorizes “what, where, how many, how” in the cortex. Furthermore, ambiguous words associated with higher brain function, such as meaning, understanding, recognition, quale, forgetting, will be defined in the (engineering) model. Although the operating principle of the model becomes stochastic because of a huge number of neuron-synapses, the reliability is statistically high enough to use. A recognition object corresponds to a functional column in the association area, so this model is a modified version of “Grandmother Cell” theory. The context is represented as an internal potential (degree of ease for firing) in neurons (processors). By setting any context on the model developed in the cloud, the model will be able to gather the context-relevant data (pattern) in the cloud actively and automatically. This means that the model can be applied as a stochastic prediction mechanism or as a problem-solving mechanism.
Keyword (in Japanese) (See Japanese page) 
(in English) meaning / understanding / gnostic neuron / associative memory / functional column / context dependency / quale / grandmother cell  
Reference Info. IEICE Tech. Rep., vol. 114, no. 339, AI2014-16, pp. 1-6, Nov. 2014.
Paper # AI2014-16 
Date of Issue 2014-11-20 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2014-16

Conference Information
Committee AI  
Conference Date 2014-11-27 - 2014-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2014-11-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A context-dependent meaning-understanding model based on the neuroscientific facts 
Sub Title (in English) Development and application of a content-addressable memory system equipped with the analog-digital element as a processor(neuron) and with the memory element(synapse) in the communication path between processors 
Keyword(1) meaning  
Keyword(2) understanding  
Keyword(3) gnostic neuron  
Keyword(4) associative memory  
Keyword(5) functional column  
Keyword(6) context dependency  
Keyword(7) quale  
Keyword(8) grandmother cell  
1st Author's Name Miyuki Seino  
1st Author's Affiliation Seino Information System Inc. (Seino Information System)
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Speaker Author-1 
Date Time 2014-11-27 13:00:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2014-16 
Volume (vol) vol.114 
Number (no) no.339 
Page pp.1-6 
#Pages 6 
Date of Issue 2014-11-20 (AI) 

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