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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Abstract

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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