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

Thumbnail Image
s41467-018-05517-6.pdf(1.91 MB)
Published version
41467_2018_5517_MOESM1_ESM.pdf(2.01 MB)
Published version
41467_2018_5517_MOESM2_ESM.pdf(1.51 MB)
Published version
41467_2018_5517_MOESM3_ESM.pdf(111.8 KB)
Published version
41467_2018_5517_MOESM4_ESM.mov(3.48 MB)
Published version
Manning, Hugh G.
Niosi, Fabio
da Rocha, Claudia Gomes
Bellew, Allen T.
O’Callaghan, Colin
Biswas, Subhajit
Flowers, Patrick F.
Wiley, Benjamin J.
Holmes, Justin D.
Ferreira, Mauro S.
Journal Title
Journal ISSN
Volume Title
Nature Publishing Group
Research Projects
Organizational Units
Journal Issue
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.
Nanowire networks , Neuromorphic applications , Neurosynaptic-like behaviour , Reservoir computing
Manning, H.G., Niosi, F., da Rocha, C.G., Bellew, A.T., O’Callaghan, C., Biswas, S., Flowers, P.F., Wiley, B.J., Holmes, J.D., Ferreira, M.S. and Boland, J.J., 2018. Emergence of winner-takes-all connectivity paths in random nanowire networks. Nature communications, 9(1), (3219). DOI:10.1038/s41467-018-05517-6