DocumentCode
2736494
Title
A carbon nanotube implementation of temporal and spatial dendritic computations
Author
Parker, Alice C. ; Joshi, Jonathan ; Hsu, Chih-Chieh ; Singh, Nav Aman Deep
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fYear
2008
fDate
10-13 Aug. 2008
Firstpage
818
Lastpage
821
Abstract
A neural dendritic computational circuit design is presented here. The circuit models the result of action potentials applied to biological synapses on a portion of a dendritic tree. The resultant excitatory post synaptic potentials (EPSPs) are combined in a dendritic tree that demonstrates linear, superlinear and sublinear summation of both spatially and temporally separated EPSPs. The synapse circuit models include neurotransmitter action, reuptake and membrane potentials. The output of the circuit is a combined Excitatory Post Synaptic Potential (EPSP). The circuit is simulated using carbon nanotube SPICE models. Variations of this design can be implemented to create a variety of dendritic computational subunits.
Keywords
SPICE; carbon nanotubes; nanotube devices; neural chips; biological synapses; carbon nanotube SPICE models; carbon nanotube implementation; dendritic computational subunits; dendritic tree; excitatory post synaptic potentials; membrane potentials; neural dendritic computational circuit design; neurotransmitter action; spatial dendritic computation; synapse circuit models; temporal dendritic computation; Biological system modeling; Biology computing; Brain modeling; Carbon nanotubes; Circuit simulation; Computational modeling; Immune system; Neurons; Neurotransmitters; SPICE;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on
Conference_Location
Knoxville, TN
ISSN
1548-3746
Print_ISBN
978-1-4244-2166-4
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2008.4616925
Filename
4616925
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