DocumentCode
1856071
Title
Biological information fusion using a PCNN and belief filtering
Author
Blasch, Erik P.
Author_Institution
SNAT, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
Volume
4
fYear
1999
fDate
1999
Firstpage
2792
Abstract
Biological information fusion results from the combination of sensed current and learned past information. The paper focuses on modeling visual cortex information fusion where a pulse coupled neural network simulates the linking procedure to segment related spatial information of the primary visual cortex and a belief filter to confirm target identity with movement information of the medial temporal cortex
Keywords
brain models; feature extraction; filtering theory; neural nets; physiological models; sensor fusion; visual perception; belief filtering; biological information fusion; learned past information; linking procedure; medial temporal cortex; movement information; pulse coupled neural network; sensed current information; spatial information; target identity; visual cortex information fusion; Biological system modeling; Brain modeling; Data mining; Feature extraction; Fuses; Information filtering; Information filters; Joining processes; Neural networks; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.833523
Filename
833523
Link To Document