Before revision: For the case of two taps to the skin, the Bayesian model Goldreich and Tong (2013) perceives the length between taps, l*, to be a function of the actual length, l, and the elapsed time, t: The parameter tau (τ) is proportional to the observer's spatial uncertainty (specifically, it is the spatial standard deviation divided by the low-speed prior standard deviation).
After revision: For the case of two taps to the skin, the Bayesian model perceives the length between taps, l*, to be a function of the actual length, l, and the elapsed time, t: The parameter tau (τ) is proportional to the observer's spatial uncertainty (specifically, it is the spatial standard deviation divided by the low-speed prior standard deviation).