Presentation | 2019-06-17 Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network Jihoon Park, Motohiro Ogura, Yuji Kawai, Minoru Asada, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, a spiking neural network model is examined to study how the balance between excitatory and inhibitory neurons (E/I balance) in the brain is related to the self-organization of connectivity between neurons and neuron groups. The model is composed of two neuron groups, each of which consists of excitatory and inhibitory spiking neurons. The number of the inhibitory neurons or the weights of the inhibitory synapses are used to control the E/I balance. Experimental results showed that strong connections formed and transfer entropy became large between the neuron groups when the E/I balance was close to a typical one (4:1). In contrast, an increase in the E/I ratio (i.e. weak inhibition) resulted in asymmetric connections and small transfer entropy between the neuron groups. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Autism spectrum disorder / Spiking neuron model / Self-organization / Network connectivity / Transfer entropy / E/I balance |
Paper # | NC2019-4 |
Date of Issue | 2019-06-10 (NC) |
Conference Information | |
Committee | NC / IBISML / IPSJ-MPS / IPSJ-BIO |
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Conference Date | 2019/6/17(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Okinawa Institute of Science and Technology |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Neurocomputing, Machine Learning Approach to Biodata Mining, and General |
Chair | Hayaru Shouno(UEC) / Hisashi Kashima(Kyoto Univ.) / Masakazu Sekijima(Tokyo Tech) / Hiroyuki Kurata(Kyutech) |
Vice Chair | Kazuyuki Samejima(Tamagawa Univ) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
Secretary | Kazuyuki Samejima(NAIST) / Masashi Sugiyama(NTT) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) / (Nagoya Univ.) |
Assistant | Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
Paper Information | |
Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / IPSJ Special Interest Group on Mathematical Modeling and Problem Solving / IPSJ Special Interest Group on Bioinformatics and Genomics |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network |
Sub Title (in English) | |
Keyword(1) | Autism spectrum disorder |
Keyword(2) | Spiking neuron model |
Keyword(3) | Self-organization |
Keyword(4) | Network connectivity |
Keyword(5) | Transfer entropy |
Keyword(6) | E/I balance |
1st Author's Name | Jihoon Park |
1st Author's Affiliation | Institute for Open and Transdisciplinary Research Initiatives, Osaka University(Osaka Univ.) |
2nd Author's Name | Motohiro Ogura |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University(Osaka Univ.) |
3rd Author's Name | Yuji Kawai |
3rd Author's Affiliation | Institute for Open and Transdisciplinary Research Initiatives, Osaka University(Osaka Univ.) |
4th Author's Name | Minoru Asada |
4th Author's Affiliation | Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka University(Osaka Univ.) |
Date | 2019-06-17 |
Paper # | NC2019-4 |
Volume (vol) | vol.119 |
Number (no) | NC-88 |
Page | pp.pp.15-20(NC), |
#Pages | 6 |
Date of Issue | 2019-06-10 (NC) |