DocumentCode
313635
Title
A minimal neural network for target searching and danger avoidance by smell
Author
Kheng Leow, Wee ; Chyi Yee, Hsueh
Author_Institution
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
Volume
1
fYear
1997
fDate
9-12 Jun 1997
Firstpage
580
Abstract
Research on sensory-motor coordination has attracted an increasing amount of interests recently. However, these works have been focused almost exclusively on visuomotor coordination. Research on olfactory-motor coordination, on the other hand, has been lacking. This paper contributes to the study of olfactory-motor coordination by devising a minimal neural network that allows a simulated creature to search for food and to avoid danger by smell
Keywords
artificial intelligence; chemical sensors; chemioception; neural nets; danger avoidance; minimal neural network; olfactory-motor coordination; simulated creature; smell; target searching; Animals; Chemical sensors; Computer science; Food industry; Information systems; Linear approximation; Mobile robots; Neural networks; Neurophysiology; Olfactory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.611734
Filename
611734
Link To Document