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Synaptic plasticity investigation in permalloy based channel material for neuromorphic computing

Monalisha, P and Li, S and Jin, T and Kumar, PSA and Piramanayagam, SN (2022) Synaptic plasticity investigation in permalloy based channel material for neuromorphic computing. In: Journal of Physics D: Applied Physics, 55 (1).

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Official URL: https://doi.org/10.1088/1361-6463/ac9b6b


Artificial synaptic devices capable of synchronized storing and processing of information are the critical building blocks of neuromorphic computing systems for the low-power implementation of artificial intelligence. Compared to the diverse synaptic device structures, the emerging electrolyte-gated synaptic transistors are promising for mimicking biological synapses owing to their analogous working mode. Despite the remarkable progress in electrolyte-gated synaptic transistors, the study of metallic channel-based synaptic devices remains vastly unexplored. Here, we report a three-terminal electrolyte-gated artificial synapse based on metallic permalloy as the active layer. Gating controlled, non-volatile, rewritable, and distinct multilevel conductance states have been achieved for analog computing. Representative synaptic behaviors such as excitatory postsynaptic conductance, paired-pulse facilitation, spike amplitude-dependent plasticity, spike duration-dependent plasticity, and long-term potentiation/depression have been successfully simulated in the synaptic device. Furthermore, switching from short-term to long-term memory regimes has been demonstrated through repeated training. Benefitting from the short-term facilitation, the synaptic device can also act as a high-pass temporal filter for selective communication. This research highlights the great potential of metallic channel-based synaptic devices for future neuromorphic systems and augments the diversity of synaptic devices.

Item Type: Journal Article
Publication: Journal of Physics D: Applied Physics
Publisher: Institute of Physics
Additional Information: The copyright for this article belongs to Institute of Physics.
Keywords: Computing power; Iron alloys; Metals; Nickel alloys, Artificial synapse; Electrolyte gating; Metallic channel; Metallics; Multilevel state; Multilevels; Neuromorphic; Neuromorphic device; Permalloys; Synaptic plasticity, Electrolytes
Department/Centre: Division of Physical & Mathematical Sciences > Physics
Date Deposited: 29 Dec 2022 10:41
Last Modified: 29 Dec 2022 10:41
URI: https://eprints.iisc.ac.in/id/eprint/78614

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