TY - JOUR
T1 - An integrated approach to the study of object features in visual recognition
AU - Intrator, Nathan
AU - Edelman, Shimon
AU - Bulthoff, Heinrich H.
N1 - Funding Information:
We thank Erik Sklar and Josh Gold for assistance in running the some of the experiments, and the simulation study. This work was supported in part by the National Science Foundation, the Office of Naval Research, and the Army Research Office.
PY - 1995
Y1 - 1995
N2 - We propose to assess the relevance of theories of synaptic modification as models of feature extraction in human vision, by using masks derived from synaptic weight patterns to occlude parts of the stimulus images in psychophysical experiments. In the experiment, we found that a mask derived from principal component analysis of object images was more effective in reducing the generalization performance of human subjects than a mask derived from another method of feature extraction (BCM), based on higher-order statistics of the images.
AB - We propose to assess the relevance of theories of synaptic modification as models of feature extraction in human vision, by using masks derived from synaptic weight patterns to occlude parts of the stimulus images in psychophysical experiments. In the experiment, we found that a mask derived from principal component analysis of object images was more effective in reducing the generalization performance of human subjects than a mask derived from another method of feature extraction (BCM), based on higher-order statistics of the images.
UR - http://www.scopus.com/inward/record.url?scp=36149037077&partnerID=8YFLogxK
U2 - 10.1088/0954-898X_6_4_005
DO - 10.1088/0954-898X_6_4_005
M3 - Article
AN - SCOPUS:36149037077
VL - 6
SP - 603
EP - 618
JO - Network: Computation in Neural Systems
JF - Network: Computation in Neural Systems
SN - 0954-898X
IS - 4
ER -