TY  - JOUR
A1  - Krügel, André
A1  - Rothkegel, Lars
A1  - Engbert, Ralf
T1  - No exception from Bayes’ rule
BT  - the presence and absence of the range effect for saccades explained
JF  - Journal of vision
N2  - In an influential theoretical model, human sensorimotor control is achieved by a Bayesian decision process, which combines noisy sensory information and learned prior knowledge. A ubiquitous signature of prior knowledge and Bayesian integration in human perception and motor behavior is the frequently observed bias toward an average stimulus magnitude (i.e., a central-tendency bias, range effect, regression-to-the-mean effect). However, in the domain of eye movements, there is a recent controversy about the fundamental existence of a range effect in the saccadic system. Here we argue that the problem of the existence of a range effect is linked to the availability of prior knowledge for saccade control. We present results from two prosaccade experiments that both employ an informative prior structure (i.e., a nonuniform Gaussian distribution of saccade target distances). Our results demonstrate the validity of Bayesian integration in saccade control, which generates a range effect in saccades. According to Bayesian integration principles, the saccadic range effect depends on the availability of prior knowledge and varies in size as a function of the reliability of the prior and the sensory likelihood.
KW  - saccades
KW  - saccadic accuracy
KW  - range effect
KW  - Bayesian sensorimotor
KW  - integration
KW  - central-tendency bias
Y1  - 2020
U6  - https://doi.org/10.1167/jov.20.7.15
SN  - 1534-7362
VL  - 20
IS  - 7
PB  - ARVO
CY  - Rockville
ER  -