Analog VLSI Circuit Implementation of an Adaptive Neuromorphic Olfaction Chip

Thomas Jacob Koickal, Alister Hamilton, Su Lim Tan, James A. Covington, Julian W. Gardner, Tim C. Pearce
2007 IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications  
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
more » ... nalog 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. Index Terms-Analog VLSI, electronic nose, machine olfaction, neuromorphic circuits, on-chip learning, spike-timing-dependent plasticity (STDP).
doi:10.1109/tcsi.2006.888677 fatcat:ywbuzhnolfc6tjveurj3o7kdja