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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Manning, HG; Niosi, F; da Rocha, CG; Bellew, AT; O'Callaghan, C; Biswas, S; Flowers, PF; Wiley, BJ; Holmes, JD; Ferreira, MS; Boland, JJ

Published Date

  • August 13, 2018

Published In

Volume / Issue

  • 9 / 1

Start / End Page

  • 3219 -

PubMed ID

  • 30104665

Pubmed Central ID

  • 30104665

Electronic International Standard Serial Number (EISSN)

  • 2041-1723

International Standard Serial Number (ISSN)

  • 2041-1723

Digital Object Identifier (DOI)

  • 10.1038/s41467-018-05517-6

Language

  • eng