Application of unfolding transformation in the random matrix theory to analyze in vivo neuronal spike firing during awake and anesthetized conditions

Autor: Risako Kato, Masanori Yamanaka, Masayuki Kobayashi
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Pharmacological Sciences, Vol 136, Iss 3, Pp 172-176 (2018)
Druh dokumentu: article
ISSN: 1347-8613
DOI: 10.1016/j.jphs.2018.01.004
Popis: General anesthetics decrease the frequency and density of spike firing. This effect makes it difficult to detect spike regularity. To overcome this problem, we developed a method utilizing the unfolding transformation which analyzes the energy level statistics in the random matrix theory. We regarded the energy axis as time axis of neuron spike and analyzed the time series of cortical neural firing in vivo. Unfolding transformation detected regularities of neural firing while changes in firing densities were associated with pentobarbital. We found that unfolding transformation enables us to compare firing regularity between awake and anesthetic conditions on a universal scale. Keywords: Unfolding transformation, Spike-timing, Regularity
Databáze: Directory of Open Access Journals