Title :
Silicon-based Neuromorphic Implementation of the Olfactory Pathway
Author :
Pearce, Tim C. ; Fulvi-Mari, Carlo ; Covington, James A. ; Tan, Forest S. ; Gardner, Julian W. ; Koickal, Thomas J. ; Hamilton, Alister
Author_Institution :
Dept. of Eng., Leicester Univ.
Abstract :
Here we describe the component subsystems which comprise the first silicon-based olfactory system, each implemented in analog VLSI/MEMS. These include a biologically constrained neuronal model, chemical micro-sensor array and associated interface circuitry. We present a spiking olfactory bulb model, a reduced 70 element broadly-tuned chemosensor array (25 different chemsensor tunings), alongside details of their silicon implementation. Our results show that the olfactory bulb model is capable of pattern classification and that the odour delivery, uptake and sensor circuitry, as well as the fundamental units of the neuromorphic model (spike-driven synapse and spiking soma), are all functional. Work will continue towards completing a fully-integrated and scalable silicon implementation of the olfactory system
Keywords :
VLSI; arrays; bioelectric phenomena; chemical sensors; chemioception; elemental semiconductors; microsensors; neurophysiology; pattern classification; silicon; MEMS; Si; analog VLSI; associated interface circuitry; biologically constrained neuronal model; chemical micro-sensor array; chemosensor array; component subsystems; odour delivery; olfactory pathway; pattern classification; sensor circuitry; silicon-based neuromorphic implementation; spike-driven synapse; spiking olfactory bulb model; spiking soma; Animals; Biological system modeling; Chemical technology; Circuits; Councils; Micromechanical devices; Neuromorphics; Olfactory; Silicon; Very large scale integration;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419619