Credit: Shunsuke Kamiya, The University of Tokyo
The previous framework (left) fails to take into account noises of the brain. The brain state transitions were written as point-to-point, the dynamics as deterministic, and the control cost as the integral of the squared control input. In the current framework (right), the research team introduced a stochastic model, in which brain state transitions were considered as probability distribution to probability distribution, dynamics as stochastic process, and the control cost as KL divergence.