Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138300
Title: Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors : coexistence of Hebbian and homeostatic synaptic metaplasticity
Authors: John, Rohit Abharam
Liu, Fucai
Chien, Nguyen Anh
Kulkarni, Mohit Rameshchandra
Zhu, Chao
Fu, Qundong
Basu, Arindam
Liu, Zheng
Keywords: Engineering::Materials
Issue Date: 2018
Source: John, R. A., Liu, F., Chien, N. A., Kulkarni, M. R., Zhu, C., Fu, Q., . . . Mathews, N. (2018). Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors : coexistence of Hebbian and homeostatic synaptic metaplasticity. Advanced Materials, 30(25), 1800220-. doi:10.1002/adma.201800220
Journal: Advanced Materials
Abstract: Emulation of brain-like signal processing with thin-film devices could lay the foundation for building artificially intelligent learning circuitry in future. Encompassing higher functionalities into single artificial neural elements will allow the development of robust neuromorphic circuitry emulating biological adaptation mechanisms with drastically lesser neural elements, mitigating strict process challenges and high circuit density requirements necessary to match the computational complexity of the human brain. Here, 2D transition metal di-chalcogenide (TMDC) (MoS2) neuristors are designed to mimic intracellular ion endocytosis-exocytosis dynamics / neurotransmitter-release in chemical synapses using three approaches: (i) electronic-mode: a defect modulation approach where the traps at the semiconductor-dielectric interface are perturbed, (ii) ionotronic-mode: where electronic responses are modulated via ionic gating and (iii) photoactive-mode: harnessing persistent photoconductivity or trap-assisted slow recombination mechanisms. Exploiting a novel multi-gated architecture incorporating electrical and optical biases, this incarnation not only addresses different charge-trapping probabilities to finely modulate the synaptic weights, but also amalgamates neuromodulation schemes to achieve “plasticity of plasticity-metaplasticity” via dynamic control of Hebbian spike-time dependent plasticity and homeostatic regulation. Co-existence of such multiple forms of synaptic plasticity increases the efficacy of memory storage and processing capacity of artificial neuristors, enabling design of highly efficient novel neural architectures.
URI: https://hdl.handle.net/10356/138300
ISSN: 0935-9648
DOI: 10.1002/adma.201800220
DOI (Related Dataset): https://doi.org/10.21979/N9/P6KRNF
Rights: © 2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. All rights reserved. This paper was published in Advanced Materials and is made available with permission of WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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