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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831470
