Dynamic Electrical Pathway Tuning in Neuromorphic Nanowire Networks

Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire networks. These are unique systems where interactions between memristive elements creates emergent conductance pathways between discrete electrodes...

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Veröffentlicht in:	Advanced functional materials Jg. 30; H. 43
Hauptverfasser:	Li, Qiao, Diaz‐Alvarez, Adrian, Iguchi, Ryo, Hochstetter, Joel, Loeffler, Alon, Zhu, Ruomin, Shingaya, Yoshitaka, Kuncic, Zdenka, Uchida, Ken‐ichi, Nakayama, Tomonobu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 01.10.2020
Schlagworte:	Control stability Controllability Electrical measurement Electrodes lock‐in thermography Materials science Memristors Nanoparticles Nanowires Networks neuromorphic Neurosciences Resistance Thermography Titanium dioxide
ISSN:	1616-301X, 1616-3028
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Abstract	Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire networks. These are unique systems where interactions between memristive elements creates emergent conductance pathways between discrete electrodes. This mode of operation can offer substantial advantages to create a truly concomitant plastic‐static system for integration in neuromorphic devices. However, critical aspects such as pathway controllability and stability are yet to be explored. In this study, pathway formation in self‐assembled neuromorphic networks formed by Ag nanowires decorated with TiO2 nanoparticles is investigated. Direct visualization of pathway formation through a neuromorphic network is attained using the lock‐in thermography technique. Using this technique, it is demonstrated that how networks preserve information from previously used pathways through increased local junction connectivity. This effect directly reshapes subsequent formation of pathways whenever the spatial location of the electrodes is dynamically changed. Combining these results with conventional current–voltage measurements, which show that the network electrically acts as a volatile switching memristor, a unique interaction between short‐term and long‐term memory arises. This produces unexpected collective dynamical states of potentiation and inhibition of network conductance whenever different spatiotemporal signals are dynamically fed to the network. Current pathway formation in neuromorphic networks is directly visualized with the lock‐in thermography technique that uses infrared sensitive camera to detect heat radiation. The network recycles parts of previously used pathways to create new ones when multiple electrodes are used. This effect is used to dynamically tune the conductance of the system by alternating voltage pulses on different electrodes.
AbstractList	Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire networks. These are unique systems where interactions between memristive elements creates emergent conductance pathways between discrete electrodes. This mode of operation can offer substantial advantages to create a truly concomitant plastic‐static system for integration in neuromorphic devices. However, critical aspects such as pathway controllability and stability are yet to be explored. In this study, pathway formation in self‐assembled neuromorphic networks formed by Ag nanowires decorated with TiO2 nanoparticles is investigated. Direct visualization of pathway formation through a neuromorphic network is attained using the lock‐in thermography technique. Using this technique, it is demonstrated that how networks preserve information from previously used pathways through increased local junction connectivity. This effect directly reshapes subsequent formation of pathways whenever the spatial location of the electrodes is dynamically changed. Combining these results with conventional current–voltage measurements, which show that the network electrically acts as a volatile switching memristor, a unique interaction between short‐term and long‐term memory arises. This produces unexpected collective dynamical states of potentiation and inhibition of network conductance whenever different spatiotemporal signals are dynamically fed to the network. Current pathway formation in neuromorphic networks is directly visualized with the lock‐in thermography technique that uses infrared sensitive camera to detect heat radiation. The network recycles parts of previously used pathways to create new ones when multiple electrodes are used. This effect is used to dynamically tune the conductance of the system by alternating voltage pulses on different electrodes. Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire networks. These are unique systems where interactions between memristive elements creates emergent conductance pathways between discrete electrodes. This mode of operation can offer substantial advantages to create a truly concomitant plastic‐static system for integration in neuromorphic devices. However, critical aspects such as pathway controllability and stability are yet to be explored. In this study, pathway formation in self‐assembled neuromorphic networks formed by Ag nanowires decorated with TiO 2 nanoparticles is investigated. Direct visualization of pathway formation through a neuromorphic network is attained using the lock‐in thermography technique. Using this technique, it is demonstrated that how networks preserve information from previously used pathways through increased local junction connectivity. This effect directly reshapes subsequent formation of pathways whenever the spatial location of the electrodes is dynamically changed. Combining these results with conventional current–voltage measurements, which show that the network electrically acts as a volatile switching memristor, a unique interaction between short‐term and long‐term memory arises. This produces unexpected collective dynamical states of potentiation and inhibition of network conductance whenever different spatiotemporal signals are dynamically fed to the network. Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire networks. These are unique systems where interactions between memristive elements creates emergent conductance pathways between discrete electrodes. This mode of operation can offer substantial advantages to create a truly concomitant plastic‐static system for integration in neuromorphic devices. However, critical aspects such as pathway controllability and stability are yet to be explored. In this study, pathway formation in self‐assembled neuromorphic networks formed by Ag nanowires decorated with TiO2 nanoparticles is investigated. Direct visualization of pathway formation through a neuromorphic network is attained using the lock‐in thermography technique. Using this technique, it is demonstrated that how networks preserve information from previously used pathways through increased local junction connectivity. This effect directly reshapes subsequent formation of pathways whenever the spatial location of the electrodes is dynamically changed. Combining these results with conventional current–voltage measurements, which show that the network electrically acts as a volatile switching memristor, a unique interaction between short‐term and long‐term memory arises. This produces unexpected collective dynamical states of potentiation and inhibition of network conductance whenever different spatiotemporal signals are dynamically fed to the network.
Author	Li, Qiao Zhu, Ruomin Diaz‐Alvarez, Adrian Hochstetter, Joel Loeffler, Alon Shingaya, Yoshitaka Iguchi, Ryo Uchida, Ken‐ichi Nakayama, Tomonobu Kuncic, Zdenka
Author_xml	– sequence: 1 givenname: Qiao surname: Li fullname: Li, Qiao organization: National Institute for Materials Science (NIMS) – sequence: 2 givenname: Adrian orcidid: 0000-0003-4638-8488 surname: Diaz‐Alvarez fullname: Diaz‐Alvarez, Adrian email: diazalvarez.adrian@nims.go.jp organization: National Institute for Materials Science (NIMS) – sequence: 3 givenname: Ryo surname: Iguchi fullname: Iguchi, Ryo organization: National Institute for Materials Science (NIMS) – sequence: 4 givenname: Joel surname: Hochstetter fullname: Hochstetter, Joel organization: University of Sydney – sequence: 5 givenname: Alon surname: Loeffler fullname: Loeffler, Alon organization: University of Sydney – sequence: 6 givenname: Ruomin surname: Zhu fullname: Zhu, Ruomin organization: University of Sydney – sequence: 7 givenname: Yoshitaka surname: Shingaya fullname: Shingaya, Yoshitaka organization: National Institute for Materials Science (NIMS) – sequence: 8 givenname: Zdenka surname: Kuncic fullname: Kuncic, Zdenka organization: University of Sydney – sequence: 9 givenname: Ken‐ichi surname: Uchida fullname: Uchida, Ken‐ichi organization: Tohoku University – sequence: 10 givenname: Tomonobu surname: Nakayama fullname: Nakayama, Tomonobu email: nakayama.tomonobu@nims.go.jp organization: National Institute for Materials Science (NIMS)
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Snippet	Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical dynamics have been recently reported to arise in neuromorphic nanowire...
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SubjectTerms	Control stability Controllability Electrical measurement Electrodes lock‐in thermography Materials science Memristors Nanoparticles Nanowires Networks neuromorphic Neurosciences Resistance Thermography Titanium dioxide
Title	Dynamic Electrical Pathway Tuning in Neuromorphic Nanowire Networks
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