Presentation	2006-03-20 Differences on rhythmic activities of Class I and Class II neural networks Ryosuke HOSAKA, Tohru IKEGUCHI,
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Abstract(in English)	Regularly spiking neurons are classified into two categories, Class I and Class II, by their firing properties for constant inputs. We constructed two types of neural networks whose excitatory neurons are the Class I neurons or the Class II neurons. The networks were driven by random inputs and developed with STDP learning. As a result, the Class I and the Class II neural networks generate different types of rhythmic activities: the Class I neural network generates slow rhythmic activities, and the Class II neural network generates fast rhythmic activities.
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Keyword(in English)	Class I / Class II / rhythm / synchrony / STDP learning rule
Paper #	NLP2005-139
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Conference Information
Committee	NLP
Conference Date	2006/3/13(1days)
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Registration To	Nonlinear Problems (NLP)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Differences on rhythmic activities of Class I and Class II neural networks
Sub Title (in English)
Keyword(1)	Class I
Keyword(2)	Class II
Keyword(3)	rhythm
Keyword(4)	synchrony
Keyword(5)	STDP learning rule
1st Author's Name	Ryosuke HOSAKA
1st Author's Affiliation	Graduate School of Science and Engineering, Saitama University()
2nd Author's Name	Tohru IKEGUCHI
2nd Author's Affiliation	Department of Information and Computer Science, Faculty of Engineering, Saitama University
Date	2006-03-20
Paper #	NLP2005-139
Volume (vol)	vol.105
Number (no)	675
Page	pp.pp.-
#Pages	6
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