Department of Physics and Computer Science
Understanding how the brain encodes information and performs computation requires statistical and functional analysis. Given the complexity of the human brain, simple methods that facilitate the interpretation of statistical correlations among different brain regions can be very useful. In this report we introduce a numerical correlation measure that may serve the interpretation of correlational neuronal data, and may assist in the evaluation of different brain states. The description of the dynamical brain system, through a global numerical measure may indicate the presence of an action principle which may facilitate a application of physics principles in the study of the human brain and cognition.
Haranas I., Gkigkitzis I., Kotsireas I., Austerlitz C. (2017) Neuronal Correlation Parameter and the Idea of Thermodynamic Entropy of an N-Body Gravitationally Bounded System. In: Vlamos P. (eds) GeNeDis 2016. Advances in Experimental Medicine and Biology, vol 987. Springer, Cham.