Abstract | ||
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In this paper, we present the analog circuit design and implementation of the components of an adaptive neuromorphic olfaction chip. A chemical sensor array employing carbon black composite sensing materials with integrated signal processing circuitry forms the front end of the chip. The sensor signal processing circuitry includes a dc offset cancellation circuit to ameliorate loss of measurement range associated with chemical sensors. Drawing inspiration from biological olfactory systems, the analog circuits used to process signals from the on-chip odor sensors make use of temporal "spiking" signals to act as carriers of odor information. An on-chip spike time dependent learning circuit is integrated to dynamically adapt weights for odor detection and classification. All the component subsystems implemented on chip have been successfully tested in silicon |
Year | DOI | Venue |
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2007 | 10.1109/TCSI.2006.888677 | Circuits and Systems I: Regular Papers, IEEE Transactions |
Keywords | Field | DocType |
cmos analogue integrated circuits,vlsi,chemical sensors,chemioception,electronic noses,neural nets,adaptive neuromorphic olfaction chip,analog vlsi circuit,biological olfactory,carbon black composite sensing materials,chemical sensor array,electronic nose,integrated signal processing,machine olfaction,neuromorphic circuits,odor detection,on-chip learning,spike-timing-dependent plasticity,analog vlsi,spike-timing-dependent plasticity (stdp),bulb,analog circuits,sensor array,depression,chip,synapses,signal processing,front end,silicon,olfactory system,carbon black | Front and back ends,Signal processing,Machine olfaction,Analogue electronics,Computer science,Sensor array,Neuromorphic engineering,Electronic engineering,Chip,Very-large-scale integration | Journal |
Volume | Issue | ISSN |
54 | 1 | 1549-8328 |
Citations | PageRank | References |
38 | 3.06 | 10 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
thomas jacob koickal | 1 | 42 | 3.93 |
Alister Hamilton | 2 | 117 | 19.02 |
Su Lim Tan | 3 | 38 | 3.06 |
J. A. Covington | 4 | 41 | 4.15 |
Julian W. Gardner | 5 | 48 | 9.54 |
Tim C. Pearce | 6 | 90 | 9.10 |