Signatures of brain criticality unveiled by maximum entropy analysis across cortical states

29 Jan 2020  ·  Lotfi Nastaran, Fontenele Antonio J., Feliciano Thaís, Aguiar Leandro A. A., de Vasconcelos Nivaldo A. P., Soares-Cunha Carina, Coimbra Bárbara, Rodrigues Ana João, Sousa Nuno, Copelli Mauro, Carelli Pedro V. ·

It has recently been reported that statistical signatures of brain criticality, obtained from distributions of neuronal avalanches, can depend on the cortical state. We revisit these claims with a completely different and independent approach, employing a maximum entropy model to test whether signatures of criticality appear in urethane-anesthetized rats... To account for the spontaneous variation of cortical state, we parse the time series and perform the maximum entropy analysis as a function of the variability of the population spiking activity. To compare data sets with different number of neurons, we define a normalized distance to criticality that takes into account the peak and width of the specific heat curve. We found an universal collapse of the normalized distance to criticality dependence on the cortical state on an animal by animal basis. This indicates a universal dynamics and a critical point at an intermediate value of spiking variability. read more

PDF Abstract
No code implementations yet. Submit your code now



  Add Datasets introduced or used in this paper

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.


No methods listed for this paper. Add relevant methods here