DocumentCode
1816758
Title
Modeling nonsynaptic communication between neurons in the lamina ganglionaris of Musca domestica
Author
Haines, Karen G. ; Moya, Javier A. ; Caudell, Thomas P.
Author_Institution
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Volume
1
fYear
1999
fDate
1999
Firstpage
131
Abstract
Using anatomy of Musca domestica´s (the housefly) first optic ganglion, the lamina ganglionaris, a biologically inspired artificial neural network is presented. This paper focuses on communication phenomena and activity between specific neurons in the lamina and models nonsynaptic communication between neurons. Test results demonstrate that nonsynaptic communication between neurons can achieve results similar to synaptic connections in early vision systems
Keywords
neural nets; neurophysiology; physiological models; visual evoked potentials; Musca domestica; early vision; housefly; lamina ganglionaris; neural network; neurophysiology; nonsynaptic communication; optic ganglion; synaptic connections; Artificial neural networks; Biomedical optical imaging; Extracellular; Nerve fibers; Neurons; Optical computing; Optical devices; Optical interconnections; Photoreceptors; Retina;
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.1999.831470
Filename
831470
Link To Document