DocumentCode
391899
Title
Determining the network parameters of the amphibian vision system
Author
Brauer, E.J. ; Nishikawa, K.
Author_Institution
Northern Arizona Univ., Flagstaff, AZ, USA
Volume
1
fYear
2002
fDate
4-7 Aug. 2002
Abstract
The objective of this research is to develop vision systems based on visual predators of the amphibian family (toads, frogs and salamanders). The initial phase of the project is modeling a retina (R2, R3, R4) and several neuron layers (T3, and TH-1), and their inhibitory and excitatory synapses using Genesis, a general purpose neural simulator. Since the network parameters are unknown, we are using genetic algorithms to search for a combination of parameters that produces the desired output of correctly identifying prey.
Keywords
eye; genetic algorithms; image recognition; neural nets; parameter estimation; vision; amphibian family visual predators; amphibian vision system network parameters; excitatory synapses; frogs; genetic algorithms; inhibitory synapses; neural simulator; neuron layer modeling; prey identification; retina modeling; salamanders; toads; Animal structures; Computational modeling; Computer worms; Fires; Genetic algorithms; Machine vision; Neurons; Retina; Shape; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN
0-7803-7523-8
Type
conf
DOI
10.1109/MWSCAS.2002.1187244
Filename
1187244
Link To Document