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Paper Abstract and Keywords
Presentation 2019-11-08 13:05
An autoregressive mathematical model for reproducing the neuronal spiking responses
Suguru Hirai (Kindai Univ.), Akihiro Masaoka (Tamagawa Univ.), Takeshi Kohama (Kindai Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to develop a mathematical model of neural activity that can share mathematical expressions from both macroscopic and microscopic viewpoints, and to help understand the higher-order functions of the brain from both viewpoints. We extended the autoregressive neural response model proposed by Masaoka & Kohama and proposed a model that can reproduce various spike responses of a single neuron. As a result of comparing the proposed model with the Izhikevich model, which is known to be highly reproducible as a single neuron model, the proposed model was able to obtain an output similar to Izhikevich model. These results indicate that the proposed model can sufficiently reproduce various spike responses of neurons
Keyword (in Japanese) (See Japanese page) 
(in English) Neuron / Spike response / Neuronal mechanism model / Constructive approach / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 37, HI2019-71, pp. 1-4, Nov. 2019.
Paper # HI2019-71 
Date of Issue 2019-11-01 (HI) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee HI VRPSY  
Conference Date 2019-11-08 - 2019-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Kindai Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HI 
Conference Code 2019-11-HI-VRPSY 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An autoregressive mathematical model for reproducing the neuronal spiking responses 
Sub Title (in English)  
Keyword(1) Neuron  
Keyword(2) Spike response  
Keyword(3) Neuronal mechanism model  
Keyword(4) Constructive approach  
1st Author's Name Suguru Hirai  
1st Author's Affiliation Kindai University (Kindai Univ.)
2nd Author's Name Akihiro Masaoka  
2nd Author's Affiliation Tamagawa University (Tamagawa Univ.)
3rd Author's Name Takeshi Kohama  
3rd Author's Affiliation Kindai University (Kindai Univ.)
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Speaker Author-1 
Date Time 2019-11-08 13:05:00 
Presentation Time 25 minutes 
Registration for HI 
Paper # HI2019-71 
Volume (vol) vol.43 
Number (no) no.37 
Page pp.1-4 
Date of Issue 2019-11-01 (HI) 

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