TY - JOUR
T1 - Perceptual learning in humans
T2 - An active, top-down-guided process
AU - Slagter, Heleen A.
PY - 2023
Y1 - 2023
N2 - Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down-guided process.
AB - Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down-guided process.
UR - http://www.scopus.com/inward/record.url?scp=85178850689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178850689&partnerID=8YFLogxK
U2 - 10.1017/S0140525X23001644
DO - 10.1017/S0140525X23001644
M3 - Review article
C2 - 38054288
AN - SCOPUS:85178850689
SN - 0140-525X
VL - 46
JO - The Behavioral and brain sciences
JF - The Behavioral and brain sciences
M1 - e406
ER -