Physical mechanism of mind changes and tradeoffs among speed, accuracy, and energy cost in brain decision making: Landscape, flux, and path perspectives
Yan Han1, 2, Zhang Kun2, Wang Jin1, 2, 3, †,
       

(a), (b) Potential landscapes for different diffusion coefficients, where μ0 = 0 Hz, c′ = 0, and the diffusion coefficient D = 1.6 × 10−7, 1.0 × 10−6, respectively. a and c represent the decided state and undecided state, respectively. s represents the saddle point between a and c. (c) The barrier heights versus D. Here Usa = UsUa and Usc = UsUc. (d) The barrier heights versus the corresponding mean first passage time. τas and τcs indicate the mean first passage time from state a and state c to saddle point s, respectively. (e) The barrier heights versus input strength μ0. (f) The mean first passage time versus input strength μ0. τca indicates the mean first passage time from state c to state a. τac indicates the mean first passage time from state a to state c. In all these subgraphs, parameters a = 269.5 and b = 108 and motion coherence c′ = 0.