DocumentCode :
2551459
Title :
Silicon neurons that phase-lock
Author :
Wittig, John H., Jr. ; Boahen, Kwabena
Author_Institution :
Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA
fYear :
2006
fDate :
21-24 May 2006
Abstract :
We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bushy cell, which enhances the phase-locking of its acoustically driven inputs. Our model enhances phase-locking by up to 38% (quantified by vector strength) across a 60 dB range of acoustic intensities, and up to 22% over a passive leak. Its conductance-based log-domain design yields a compact and efficient circuit, fabricated in 0.25 mum CMOS, that is an ideal timing-enhancing component for neuromorphic speech recognition systems
Keywords :
CMOS digital integrated circuits; digital signal processing chips; neural chips; speech recognition; 0.25 micron; CMOS integrated circuits; log-domain design; neuromorphic speech recognition; neuron models; spike timing; time-varying input signal; timing-enhancing component; Automatic speech recognition; Biological information theory; Biological system modeling; Circuits; Frequency; Humans; Neurons; Silicon; Speech recognition; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1693638
Filename :
1693638
Link To Document :
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