DocumentCode
2493800
Title
A directionally-selective neuromorphic circuit based on reciprocal synapses in Starburst Amacrine Cells
Author
Tseng, Ko-Chung ; Parker, Alice C. ; Joshi, Jonathan
Author_Institution
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
5674
Lastpage
5677
Abstract
Starburst Amacrine Cells (SACs) play a major role in the detection of directional motion in the biological retina. The starburst amacrine cell has intrinsic electrical mechanisms for producing directional selectivity (DS). GABA transmitter-receptor interactions between two overlapping SACs make DS more robust. We present a compartmentalized CMOS neuro-morphic circuit that models a portion of two biological starburst amacrine cells in the retina and includes a simplified model of reciprocal interaction between the dendritic branches of SACs. We demonstrate that a neuromorphic circuit incorporating the reciprocal synapses enhances the responses in the neuromorphic dendritic tip and generates robust directional selectivity.
Keywords
cellular biophysics; eye; neurophysiology; vision; CMOS neuromorphic circuit; GABA transmitter-receptor interactions; biological retina; dendritic branches; directional motion; directional selectivity; directionally-selective neuromorphic circuit; reciprocal synapses; starburst amacrine cells; Biological system modeling; Brain modeling; Integrated circuit modeling; Neuromorphics; Retina; Visualization; Directional Selectivity; Motion; Neuromorphic Circuit; Reciprocal Synapse; Retina; Starburst Amacrine Cell; Action Potentials; Amacrine Cells; Animals; Dendrites; Humans; Models, Neurological; Nerve Net; Synapses; Synaptic Transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091373
Filename
6091373
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