Atomic Switch Networks
for Neuroarchitectonics: Past, Present,
Future
R. Aguilera, K. Scharnhorst, S. L. Lilak, C. S. Dunham, M. Aono,
A. Z. Stieg, and J. K. Gimzewski
Abstract Artificial realizations of the mammalian brain alongside their integration
into electronic components are explored through neuromorphic architectures,
neuroarchitectectonics, on CMOS compatible platforms. Exploration of
neuromorphic technologies continue to develop as an alternative computational
paradigm as both capacity and capability reach their fundamental limits with the
end of the transistor-driven industrial phenomenon of Moore’s law. Here, we consider the electronic landscape within neuromorphic technologies and the role of the
atomic switch as a model device. We report the fabrication of an atomic switch
network (ASN) showing critical dynamics and harness criticality to perform benchmark signal classification and Boolean logic tasks. Observed evidence of biomimetic
behavior such as synaptic plasticity and fading memory enable the ASN to attain a
cognitive capability within the context of artificial neural networks.
R. Aguilera · K. Scharnhorst · S. L. Lilak · C. S. Dunham
Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA, USA
M. Aono
International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials
Science (NIMS), Tsukuba, Ibaraki, Japan
A. Z. Stieg
WPI Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science
(NIMS), Tsukuba, Ibaraki, Japan
California NanoSystems Institute (CNSI), UCLA, Los Angeles, CA, USA
J. K. Gimzewski (*)
Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA, USA
WPI Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science
(NIMS), Tsukuba, Ibaraki, Japan
California NanoSystems Institute (CNSI), UCLA, Los Angeles, CA, USA
e-mail: gimzewski@cnsi.ucla.edu
© Springer Nature Switzerland AG 2020
M. Aono (ed.), Atomic Switch, Advances in Atom and Single Molecule Machines,
https://doi.org/10.1007/978-3-030-34875-5_11
201
for Neuroarchitectonics: Past, Present,
Future
R. Aguilera, K. Scharnhorst, S. L. Lilak, C. S. Dunham, M. Aono,
A. Z. Stieg, and J. K. Gimzewski
Abstract Artificial realizations of the mammalian brain alongside their integration
into electronic components are explored through neuromorphic architectures,
neuroarchitectectonics, on CMOS compatible platforms. Exploration of
neuromorphic technologies continue to develop as an alternative computational
paradigm as both capacity and capability reach their fundamental limits with the
end of the transistor-driven industrial phenomenon of Moore’s law. Here, we consider the electronic landscape within neuromorphic technologies and the role of the
atomic switch as a model device. We report the fabrication of an atomic switch
network (ASN) showing critical dynamics and harness criticality to perform benchmark signal classification and Boolean logic tasks. Observed evidence of biomimetic
behavior such as synaptic plasticity and fading memory enable the ASN to attain a
cognitive capability within the context of artificial neural networks.
R. Aguilera · K. Scharnhorst · S. L. Lilak · C. S. Dunham
Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA, USA
M. Aono
International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials
Science (NIMS), Tsukuba, Ibaraki, Japan
A. Z. Stieg
WPI Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science
(NIMS), Tsukuba, Ibaraki, Japan
California NanoSystems Institute (CNSI), UCLA, Los Angeles, CA, USA
J. K. Gimzewski (*)
Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA, USA
WPI Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science
(NIMS), Tsukuba, Ibaraki, Japan
California NanoSystems Institute (CNSI), UCLA, Los Angeles, CA, USA
e-mail: gimzewski@cnsi.ucla.edu
© Springer Nature Switzerland AG 2020
M. Aono (ed.), Atomic Switch, Advances in Atom and Single Molecule Machines,
https://doi.org/10.1007/978-3-030-34875-5_11
201