Neuromorphic Pattern Recognition Using Arrays of Quantum Dots
J. Barhen, Jack C. Wells, V. Protopopescu, Yehuda Y. Braiman · 2000
Revolutionary advances in computing, communication, detection, and sensing using nanoscale devices subsume a pro found understanding of the complex dynamics of small arrays of quantum structures. Such arrays produce bi-stable and multi-stable robust behavior, which can be harnessed for unconventional, yet powerful computational concepts. In this paper, we propose a n ovel approach to signal pattern analysis using an array of quantum dots (QD). Our methodology combines an ultrafast neuromorphic learning algorithm with photon-assisted tunneling in the QD array. The latter enables emulation of the plasticity of neural synapses.