INTRODUCTION: A noninvasive alternative to the study of brain dynamics associated with behavior involves the systematic recording of external actions and the development of internal representational models that account for the observed patterns. Such modeling approaches can be constructed at varying levels of abstraction and complexity.

AIM(S): The present work evaluates the validity of a competition model (C-model) describing interactions among neural networks to explain alternating incompatible activities in different settings (mobility-immobility; saccadic-eye fixations; EEG microstates) and species(Drosophila malanogaster; humans).

METHOD(S): Data of mobility and immobility periods in Drosophila, eye fixation duration and EEG microstate durations in humans (data were extracted from open data bases), were analyzed following such model.

RESULTS: The frequency histograms of mobility-immobility in Drosophila, eye fixation duration and EEG microstate durations were fitted by the competition model. Others tested models as exgaussian and power law were also able to fit the data, with different outcomes for Akaike model comparisons.

CONCLUSIONS: The dynamics of neural networks controlling perceptions, actions and brain microstates, could be following a dynamics of competition between the different underlying networks, in order to keep a certain unity in brain microstates, actions and perceptions at any given moment.

FINANCIAL SUPPORT: (PID2022-139151OB-I00) Agencia española de investigación científica