Next Article in Journal
Some New Results on the Multiple-AccessWiretap Channel
Next Article in Special Issue
Characterizing Motif Dynamics of Electric Brain Activity Using Symbolic Analysis
Previous Article in Journal
Information-Theoretic Bounded Rationality and ε-Optimality
Previous Article in Special Issue
A Maximum Entropy Approach for Predicting Epileptic Tonic-Clonic Seizure
Open AccessArticle

Entropy-Complexity Characterization of Brain Development in Chickens

1
IFLYSIB, CONICET & Universidad Nacional de La Plata, La Plata, Argentina
2
Departamento de Física, Facultad de Ciencias Exactas, UNLP Calle 49 y 115. C.C. 67 (1900), La Plata, Argentina
3
Instituto de Física Universidade Federal de Alagoas (UFAL). BR 104 Norte km 97, 57072-970 Maceió, Alagoas, Brazil
4
Instituto Tecnológico Buenos Aires (ITBA), Av Eduardo Madero 399, C1106ACD Ciudad Autónoma de Buenos Aires, Argentina
*
Author to whom correspondence should be addressed.
Entropy 2014, 16(8), 4677-4692; https://doi.org/10.3390/e16084677
Received: 21 July 2014 / Accepted: 20 August 2014 / Published: 21 August 2014
(This article belongs to the Special Issue Entropy and Electroencephalography)
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. View Full-Text
Keywords: EEG signals; statistical complexity measure; chicken brain; neural maturation EEG signals; statistical complexity measure; chicken brain; neural maturation
MDPI and ACS Style

Montani, F.; Rosso, O.A. Entropy-Complexity Characterization of Brain Development in Chickens. Entropy 2014, 16, 4677-4692.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop