A Cognitive Model Based on Neuromodulated Plasticity
Joint Authors
Huang, Jing
Ruan, Xiaogang
Yu, Naigong
Fan, Qingwu
Li, Jiaming
Cai, Jianxian
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Associative learning, including classical conditioning and operant conditioning, is regarded as the most fundamental type of learning for animals and human beings.
Many models have been proposed surrounding classical conditioning or operant conditioning.
However, a unified and integrated model to explain the two types of conditioning is much less studied.
Here, a model based on neuromodulated synaptic plasticity is presented.
The model is bioinspired including multistored memory module and simulated VTA dopaminergic neurons to produce reward signal.
The synaptic weights are modified according to the reward signal, which simulates the change of associative strengths in associative learning.
The experiment results in real robots prove the suitability and validity of the proposed model.
American Psychological Association (APA)
Huang, Jing& Ruan, Xiaogang& Yu, Naigong& Fan, Qingwu& Li, Jiaming& Cai, Jianxian. 2016. A Cognitive Model Based on Neuromodulated Plasticity. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1099679
Modern Language Association (MLA)
Huang, Jing…[et al.]. A Cognitive Model Based on Neuromodulated Plasticity. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1099679
American Medical Association (AMA)
Huang, Jing& Ruan, Xiaogang& Yu, Naigong& Fan, Qingwu& Li, Jiaming& Cai, Jianxian. A Cognitive Model Based on Neuromodulated Plasticity. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1099679
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099679