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Associative Enhancement of Time Correlated Response to Heterogeneous Stimuli in a Neuromorphic Nanowire Device
Author(s) -
O'Kelly Curtis J.,
Fairfield Jessamyn A.,
McCloskey David,
Manning Hugh G.,
Donegan John F.,
Boland John J.
Publication year - 2016
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201500458
Subject(s) - neuromorphic engineering , nanowire , materials science , memristor , voltage , pulse (music) , optoelectronics , computer science , nanotechnology , artificial neural network , electronic engineering , physics , artificial intelligence , engineering , quantum mechanics
In spite of the strong interest in brain‐like or neuromorphic computation, relatively few devices have emerged whose neuromorphic behavior is embedded in the hardware itself and not reliant on external programming of synaptic weights. Here, a neuromorphic device is described based on a TiO 2 nanowire that exhibits an associative memory response to the time correlation between voltage and optical stimuli. Memristive characteristics are also observed with current–voltage sweeps showing hysteresis loops and continuum resistance levels. The nanowire device responds to heterogeneous voltage and optical pulse stimuli with spike‐like neuromorphic outputs. Moreover, uncorrelated pulses produce a weak response, consistent with the interaction of coincident pulses with adsorbed and bulk oxygen in the surface depletion region, leading to a nonlinear enhancement in conductance. The strength of this learned enhancement depends on both the time correlation and the number of pulse stimuli, consistent with spike timing dependent plasticity. The nanowire devices presented have neural synapse‐like properties that could serve as a building block for neuromorphic computation.