Entropy-Complexity Characterization of Brain Development in Chickens

Entropy

Fernando Montani¹  Osvaldo A Rosso² 

[1] IFLYSIB, CONICET & Universidad Nacional de La Plata, La Plata, Argentina;Instituto de Física Universidade Federal de Alagoas (UFAL). BR 104 Norte km 97, 57072-970 Maceió, Alagoas, Brazil;

关键词: EEG signals;    statistical complexity measure;    chicken brain;    neural maturation;   

DOI  :  10.3390/e16084677

来源: DOAJ

【 摘 要 】

Electroencephalography (EEG) reflects the electrical activity of the brain, which can be considered chaotic and ruled by a nonlinear dynamics. Chickens exhibit a protracted period of maturation, and this temporal separation of the synapse formation and maturation phases is analogous to human neural development, though the changes in chickens occur in weeks compared to years in humans. The development of synaptic networks in the chicken brain can be regarded as occurring in two broadly defined phases. We specifically describe the chicken brain development phases in the causality entropy-complexity plane H × C, showing that the complexity of the electrical activity can be characterized by estimating the intrinsic correlational structure of the EEG signal. This allows us to identify the dynamics of the developing chicken brain within the zone of a chaotic dissipative behavior in the plane H × C.

【 授权许可】

Unknown