Neuromorphic functions with a polyelectrolyte-confined fluidic memristor DOI
Tianyi Xiong, Changwei Li, Xiulan He

и другие.

Science, Год журнала: 2023, Номер 379(6628), С. 156 - 161

Опубликована: Янв. 12, 2023

Reproducing ion channel-based neural functions with artificial fluidic systems has long been an aspirational goal for both neuromorphic computing and biomedical applications. In this study, were successfully accomplished a polyelectrolyte-confined memristor (PFM), in which confined polyelectrolyte-ion interactions contributed to hysteretic transport, resulting memory effects. Various electric pulse patterns emulated by PFM ultralow energy consumption. The property of enabled the mimicking chemical-regulated pulses. More importantly, chemical-electric signal transduction was implemented single PFM. With its structural similarity channels, is versatile easily interfaces biological systems, paving way building devices advanced introducing rich chemical designs.

Язык: Английский

Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine‐Facilitated Synaptic Activity DOI
Seonggil Ham, Sanghyeon Choi, Haein Cho

и другие.

Advanced Functional Materials, Год журнала: 2018, Номер 29(5)

Опубликована: Дек. 4, 2018

Abstract The ability of high‐order tuning the synaptic plasticity in an artificial synapse can offer significant improvement processing time, low‐power recognition, and learning capability a neuro‐inspired computing system. Inspired by light‐assisted dopamine‐facilitated activity, which achieves rapid adaptation lowering threshold plasticity, two‐terminal organolead halide perovskite (OHP)‐based photonic is fabricated designed modified both electrical pulses light illumination. Owing to accelerated migration iodine vacancy inherently existing coated OHP film under illumination, device exhibits light‐tunable functionalities with very low programming inputs (≈0.1 V). It also demonstrated that long‐term potentiation decreases weight further modulates when illuminates device, phenomenologically analogous dopamine‐assisted process. Notably, exposure, pattern recognition ≈81.8% accuracy after only 2000 phases (60 000 = one epoch) consumption (4.82 nW/the initial update for potentiation), ≈2.6 × 10 3 times lower than weights are updated high pulses.

Язык: Английский

Процитировано

206

Memristive Synapses and Neurons for Bioinspired Computing DOI
Rui Yang, Heming Huang, Xin Guo

и другие.

Advanced Electronic Materials, Год журнала: 2019, Номер 5(9)

Опубликована: Авг. 14, 2019

Abstract To realize highly efficient neuromorphic computing that is comparable to biological counterparts, bioinspired systems, consisting of biorealistic artificial synapses and neurons, are developed with memristive devices native dynamics resembling neurons. Tremendous materials have been successfully used emulate diverse functions synapses, as well in the last decade. Herein, approaches certain synaptic or neuronal introduced state‐of‐art experimental demonstrations. First, working principles neurons briefly presented provide guidance for developing Second, recent advances development homosynaptic heterosynaptic plasticity disscussed. In particular, important learning rules, like spiking‐timing‐dependent Bienenstock–Cooper–Munro elaborated according level faithfulness synapses. Memristive including bioplausible biophysical described. Finally, challenges perspectives based on discussed.

Язык: Английский

Процитировано

203

Electric-double-layer transistors for synaptic devices and neuromorphic systems DOI
Yongli He, Yi Yang,

Sha Nie

и другие.

Journal of Materials Chemistry C, Год журнала: 2018, Номер 6(20), С. 5336 - 5352

Опубликована: Янв. 1, 2018

This article reviews the recent progress in field of electric-double-layer transistors for synaptic devices and neuromorphic systems.

Язык: Английский

Процитировано

201

Spatiotemporal Information Processing Emulated by Multiterminal Neuro‐Transistor Networks DOI
Yongli He,

Sha Nie,

Rui Liu

и другие.

Advanced Materials, Год журнала: 2019, Номер 31(21)

Опубликована: Апрель 8, 2019

All external sensory stimuli produce a spatiotemporal pattern of action potentials, which is transmitted to the biological neural system be processed. The relative timing synaptic spikes from different presynaptic neurons represents features stimuli. A fundamental prerequisite in cortical information processing discrimination input sequences. Here, capacitively coupled multiterminal oxide-based neuro-transistors are proposed for processing, mimicking dendritic discriminability experimental results demonstrate that such neuromorphic devices can act as compartments computation. Also, an example sound location functionality human brain also emulated by constructing simple artificial network based on neuro-transistors.

Язык: Английский

Процитировано

193

Neuromorphic functions with a polyelectrolyte-confined fluidic memristor DOI
Tianyi Xiong, Changwei Li, Xiulan He

и другие.

Science, Год журнала: 2023, Номер 379(6628), С. 156 - 161

Опубликована: Янв. 12, 2023

Reproducing ion channel-based neural functions with artificial fluidic systems has long been an aspirational goal for both neuromorphic computing and biomedical applications. In this study, were successfully accomplished a polyelectrolyte-confined memristor (PFM), in which confined polyelectrolyte-ion interactions contributed to hysteretic transport, resulting memory effects. Various electric pulse patterns emulated by PFM ultralow energy consumption. The property of enabled the mimicking chemical-regulated pulses. More importantly, chemical-electric signal transduction was implemented single PFM. With its structural similarity channels, is versatile easily interfaces biological systems, paving way building devices advanced introducing rich chemical designs.

Язык: Английский

Процитировано

189