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Paper Abstract and Keywords
Presentation 2006-07-14 14:30
Dynamical System Model of Spatial Reward Learning
Adam Ponzi (RIKEN)
Abstract (in Japanese) (See Japanese page) 
(in English) A Basal Ganglia based dynamical system model of reward learning is
presented. Numerical simulations nicely reproduce restructuring of
striatal MSN neuron activity in T-Maze task recently observed by
Barnes et al.[1].
Keyword (in Japanese) (See Japanese page) 
(in English) Learning / Memory / Basal Ganglia / Reward / Dopamine / Replay / Dynamics / Non-linear feedback  
Reference Info. IEICE Tech. Rep., vol. 106, no. 163, NC2006-41, pp. 19-24, July 2006.
Paper # NC2006-41 
Date of Issue 2006-07-07 (NC) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee NC  
Conference Date 2006-07-14 - 2006-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NC 
Conference Code 2006-07-NC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamical System Model of Spatial Reward Learning 
Sub Title (in English)  
Keyword(1) Learning  
Keyword(2) Memory  
Keyword(3) Basal Ganglia  
Keyword(4) Reward  
Keyword(5) Dopamine  
Keyword(6) Replay  
Keyword(7) Dynamics  
Keyword(8) Non-linear feedback  
1st Author's Name Adam Ponzi  
1st Author's Affiliation RIKEN Brain Science Institute (RIKEN)
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Speaker Author-1 
Date Time 2006-07-14 14:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2006-41 
Volume (vol) vol.106 
Number (no) no.163 
Page pp.19-24 
#Pages
Date of Issue 2006-07-07 (NC) 


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