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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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
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
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)