Open AccessSome details on the method for measuring activity changes of neuronal populations
Author(s) -
Aleksandar Kalauzi,
Slađana Spasić,
Milka Ćulić
Publication year - 2003
Publication title -
archives of biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.217
H-Index - 25
eISSN - 1821-4339
pISSN - 0354-4664
DOI - 10.2298/abs0304071k
Subject(s) - amplitude , superposition principle , population , calibration , biological system , action (physics) , mathematics , line (geometry) , physics , statistics , biology , mathematical analysis , optics , geometry , demography , quantum mechanics , sociology
Simple, complex action potentials (AP) and interspike recorded background activity (RBA) were detected and extracted from 12 rat cerebellar cortical recordings. For each recording, an averaged simple action potential (SAP) was formed. Fourier amplitude spectra of SAP and RBA were similar in all recordings. For one of the recordings, a series of RBA simulations (SBA) was generated, superimposing random SAPs, varying the superposition frequency (fsup). Average Fourier amplitude, Amp(SBA), was calculated, in order to use Amp(SBA)=f(fsup) as a calibration line for reading fsup of RBA, which is a measure of the population activity. A probability distribution for SAP intensities was derived and a family of calibration lines constructed. As all lines were linear and parallel (slope S) in log-log plots, a population activity change could be calculated as fsup2/fsup1=[Amp2(RBA)/Amp(RBA)]1/S