Random Bin for Analyzing Neuron Spike Trains | Zendy

Shinichi Tamura | Zendy; Tomomitsu Miyoshi | Zendy; Hajime Sawai | Zendy; Yuko MizunoMatsumoto | Zendy

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Random Bin for Analyzing Neuron Spike Trains

Author(s) -

Shinichi Tamura,

Tomomitsu Miyoshi,

Hajime Sawai,

Yuko MizunoMatsumoto

Publication year - 2012

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2012/153496

Subject(s) - bin , spike (software development) , train , computer science , set (abstract data type) , spike train , interval (graph theory) , sensitivity (control systems) , algorithm , artificial intelligence , mathematics , combinatorics , electronic engineering , cartography , engineering , software engineering , programming language , geography

When analyzing neuron spike trains, it is always the problem of how to set the time bin. Bin width affects much to analyzed results of such as periodicity of the spike trains. Many approaches have been proposed to determine the bin setting. However, these bins are fixed through the analysis. In this paper, we propose a randomizing method of bin width and location instead of conventional fixed bin setting. This technique is applied to analyzing periodicity of interspike interval train. Also the sensitivity of the method is presented.

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