TY - GEN
T1 - Integrative Bayesian model of two opposite types of sensory adaptation
AU - Sato, Y.
AU - Aihara, K.
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Adaptation is a fundamental property of human perception. Recently, it was found that there are two opposite types of adaptation to repetitive stimuli with temporal difference. In this paper, we construct an integrative model of adaptation. We model the perception as a Bayesian inference and also model the two types of adaptation as changes in the likelihood function and the prior distribution in the Bayesian inference. We examine our model analytically and show how the type of adaptation depends on model parameters.
AB - Adaptation is a fundamental property of human perception. Recently, it was found that there are two opposite types of adaptation to repetitive stimuli with temporal difference. In this paper, we construct an integrative model of adaptation. We model the perception as a Bayesian inference and also model the two types of adaptation as changes in the likelihood function and the prior distribution in the Bayesian inference. We examine our model analytically and show how the type of adaptation depends on model parameters.
KW - Bayesian calibration
KW - Bayesian inference
KW - Lag adaptation
KW - Ventriloquism aftereffect
UR - http://www.scopus.com/inward/record.url?scp=78149321322&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149321322&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:78149321322
SN - 9784990288037
T3 - Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
SP - 518
EP - 521
BT - Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
T2 - 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Y2 - 5 February 2008 through 7 February 2009
ER -