Neural networks of different species, brain areas and states can be characterized by the probability polling state

Cortical networks are complex systems of a great many interconnected neurons that operate from collective dynamical states. To understand how cortical neural networks function, it is important to identify their common dynamical operating states from the probabilistic viewpoint. Probabilistic characteristics of these operating states often underlie network functions. Here, using multi‐electrode data from three separate experiments, we identify...