DocumentCode
3311222
Title
A neuromorphic IC connection between cortical dendritic processing and HMM classification
Author
Hasler, Paul ; Smith, Paul D. ; Farquhar, Ethan ; Anderson, David V.
Author_Institution
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2004
fDate
1-4 Aug. 2004
Firstpage
334
Lastpage
337
Abstract
We show connections between dendritic processing structures and hidden-Markov model (HMM) decoding that we arrived at through simultaneous circuit design of these systems. From an integrated circuit (IC) towards a biology perspective, these simple spreading networks relate well to cable theory and are similar to biological structures such as dendrites and cortical cells. Going in the other direction, from IC to classical digital signal processing (DSP), these structure hold similarities to HMM decoders. In order to implement both structures requires a compact array of variable conductance elements. Using floating-gate transistors, we are able to individually vary the conductance of each diffuser element in the array, which dramatically changes the analysis of these arrays.
Keywords
classification; digital signal processing chips; hidden Markov models; neural nets; DSP; HMM classification; array diffuser elements; cable theory; cortical cells; cortical dendritic processing structures; dendritic computation; floating-gate transistors; hidden-Markov model decoding; integrated circuit biology perspective; neural modeling; neuromorphic engineering; spreading networks; variable conductance element array; Biological system modeling; Biology computing; Cells (biology); Circuit synthesis; Decoding; Design engineering; Hidden Markov models; Integrated circuit technology; Neuromorphics; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
Print_ISBN
0-7803-8434-2
Type
conf
DOI
10.1109/DSPWS.2004.1437970
Filename
1437970
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