Emergence of winner-takes-all connectivity paths in random nanowire networks

Hugh G. Manning, Fabio Niosi, Claudia Gomes Rocha, Allen T. Bellew, Colin O’Callaghan, Subhajit Biswas, Patrick F. Flowers, Benjamin J. Wiley, Justin D. Holmes, Mauro S. Ferreira and John J. Boland ()
Additional contact information
Hugh G. Manning: Trinity College Dublin
Fabio Niosi: Trinity College Dublin
Claudia Gomes Rocha: Trinity College Dublin
Allen T. Bellew: Trinity College Dublin
Colin O’Callaghan: Trinity College Dublin
Subhajit Biswas: University College Cork
Patrick F. Flowers: Duke University
Benjamin J. Wiley: Duke University
Justin D. Holmes: University College Cork
Mauro S. Ferreira: Trinity College Dublin
John J. Boland: Trinity College Dublin

Nature Communications, 2018, vol. 9, issue 1, 1-9

Abstract: Abstract Nanowire networks are promising memristive architectures for neuromorphic applications due to their connectivity and neurosynaptic-like behaviours. Here, we demonstrate a self-similar scaling of the conductance of networks and the junctions that comprise them. We show this behavior is an emergent property of any junction-dominated network. A particular class of junctions naturally leads to the emergence of conductance plateaus and a “winner-takes-all” conducting path that spans the entire network, and which we show corresponds to the lowest-energy connectivity path. The memory stored in the conductance state is distributed across the network but encoded in specific connectivity pathways, similar to that found in biological systems. These results are expected to have important implications for development of neuromorphic devices based on reservoir computing.

Date: 2018
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DOI: 10.1038/s41467-018-05517-6

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