Slow Resting State Fluctuations Enhance Neuronal and Behavioral Responses to Looming Sounds

A Roadmap for Computational Modelling of M/EEG

“…One, by Kohl et al (2021), links a microscopic model of the canonical neocortical circuit to large-scale brain dynamics measured by M/EEG. Another, by Sancristóbal et al (2021), links EEG power to reaction times. This way, these two papers exemplify how models can be used to link model parameters to behavior.…”

“…Computational models serve this purpose. Therefore, in this special issue, we called for and accepted papers that covered micro- (Saponati et al 2021;Kohl et al 2021), meso-(Byrne et al 2021) and macroscale modelling of M/EEG dynamics (Allouch et al 2021;Qin et al 2021), as well as articles that show how models in M/EEG are applied today to improve data quality (Billings et al 2021;Bhutada et al 2021) as well as in a clinical context (Hutt and Lefebvre 2021;Sancristóbal et al 2021). Two more articles (Glomb et al 2021;Orczyk and Kajikawa 2021) summarize and provide a perspective on some aspects of the burgeoning field.…”

Additive Noise-Induced System Evolution (ANISE)

“…Examples for such observations are a large variability between repeated measurements [29][30][31] and strong intrinsic fluctuations in observations [32][33][34]. To describe such observed random properties, various different fluctuation mechanisms have been proposed, such as deterministic chaotic dynamics [35], heterogeneity [29] or linear high-dimensional dynamics driven by additive noise [36].…”