Transistor channel dendrites implementing HMM classifiers

Paul Hasler; Scott Kozoil; Ethan Farquhar; Arindam Basu

doi:10.1109/iscas.2007.378287

Author(s)

Paul Hasler
Scott Kozoil
Ethan Farquhar
Arindam Basu

Detail(s)

Original language	English
Article number	4253399
Pages (from-to)	3359-3362
Journal / Publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publication status	Published - 2007
Externally published	Yes

Conference

Title	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Place	United States
City	New Orleans, LA
Period	27 - 30 May 2007

Link(s)

DOI	DOI https://doi.org/10.1109/iscas.2007.378287 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-34548827060&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(e55571a5-7002-441f-912f-94b536a6d99f).html

Abstract

Recently we have presented transistor channel models of biological channels and the resulting implementation towards building spiking nodes, synapses, and dendrites. We have also discussed how to build reconfigurable dendrites using programmable analog techniques. With all of this technology components available, we begin to address the question of the computation model possible using a dendrite element, as well as a network of dendrite elements. We will discuss the connection between a dendrite element and a Hidden Markov Model (HMM) classifier branch, as well as a network of dendrites and somas to create an HMM classifier typical of what is used in speech recognition systems. We present simulation and experimental results for the branch elements; we also present initial results for a small dendrite based classifier structure to show the similarities to the HMM paradigm. © 2007 IEEE.

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Citation Format(s)

[ RIS ] [ BibTeX ]

Transistor channel dendrites implementing HMM classifiers. / Hasler, Paul; Kozoil, Scott; Farquhar, Ethan et al.
In: Proceedings - IEEE International Symposium on Circuits and Systems, 2007, p. 3359-3362.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Hasler, P, Kozoil, S, Farquhar, E & Basu, A 2007, 'Transistor channel dendrites implementing HMM classifiers', Proceedings - IEEE International Symposium on Circuits and Systems, pp. 3359-3362. https://doi.org/10.1109/iscas.2007.378287

Hasler, P., Kozoil, S., Farquhar, E., & Basu, A. (2007). Transistor channel dendrites implementing HMM classifiers. Proceedings - IEEE International Symposium on Circuits and Systems, 3359-3362. Article 4253399. https://doi.org/10.1109/iscas.2007.378287

Hasler P, Kozoil S, Farquhar E, Basu A. Transistor channel dendrites implementing HMM classifiers. Proceedings - IEEE International Symposium on Circuits and Systems. 2007;3359-3362. 4253399. doi: 10.1109/iscas.2007.378287

Hasler, Paul ; Kozoil, Scott ; Farquhar, Ethan et al. / Transistor channel dendrites implementing HMM classifiers. In: Proceedings - IEEE International Symposium on Circuits and Systems. 2007 ; pp. 3359-3362.