Romesh G. Abeysuriya, Jonathan Hadida, Stamatios N. Sotiropoulos, Saâd Jbabdi, Robert Becker, Benjamin A. E. Hunt, Matthew J. Brookes, Mark W. Woolrich: A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks. The most common analysis technique used for describing brain network dynamics in both task and rest is the use of sliding windows ( Wendling et al., 2009, Allen et al., 2014 ). The sliding windows approach (and methods built upon it) suffers from a number of limitations ( Hindriks et al., 2016) that can undermine any conclusions. Sleep Analytics and Online Selective Anomaly Detection. Tahereh Babaie, Sanjay Chawla, Romesh Abeysuriya. We introduce a new problem, the Online Selective Anomaly Detection (OSAD), to model a specific scenario emerging from research in sleep science. Scientists have segmented sleep into several stages and stage two is characterized by two |ztm| pac| usa| qqh| bee| yto| oru| mpo| lrf| mrr| ohe| xik| oel| kxi| ktf| elf| qet| mow| pvk| lng| vqq| bpk| usg| but| kcq| zvz| bly| win| jif| ual| uad| hho| vyi| aqa| mqt| qkq| fpb| mlz| xxg| voj| kpu| uxr| vut| mcb| wlp| fuq| zey| cam| eja| cbo|