TY - JOUR
T1 - Transistor channel dendrites implementing HMM classifiers
AU - Hasler, Paul
AU - Kozoil, Scott
AU - Farquhar, Ethan
AU - Basu, Arindam
N1 - 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].
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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U2 - 10.1109/iscas.2007.378287
DO - 10.1109/iscas.2007.378287
M3 - RGC 21 - Publication in refereed journal
SN - 0271-4310
SP - 3359
EP - 3362
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
M1 - 4253399
T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Y2 - 27 May 2007 through 30 May 2007
ER -