A Carbon Nanotube Synapse with Dynamic Logic and Learning (Adv. Mater. 12/2013)

Kim, Kyung-Hyun; Chen, Chia-Ling; Truong, Quyen; Shen, Alex Ming; Chen, Yong

doi:10.1002/adma.201370080

Cited by 8 publications

(9 citation statements)

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“…Here, nanoscale inorganic transistors are employed for neurocomputing and for improving medical research. [6][7][8][9][10][11][12][13][14] Amorphous oxide semiconductor (AOS) devices have attracted much attention in recent years. One of the representative materials is In-Ga-Zn-O (IGZO).…”

Section: Introductionmentioning

confidence: 99%

<p>Implementation of PPI with Nano Amorphous Oxide Semiconductor Devices for Medical Applications</p>

Dai

et al. 2020

IJN

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Background: Electronic devices which mimic the functionality of biological synapses are a large step to replicate the human brain for neuromorphic computing and for numerous medical research investigations. One of the representative synaptic behaviors is paired-pulse facilitation (PPF). It has been widely investigated because it is regarded to be related to biological memory. However, plasticity behavior is only part of the human brain memory behavior.Methods: Here, we present a phenomenon which is opposite to PPF, i.e., paired-pulse inhibition (PPI), in nano oxide devices for the first time. The research here suggests that rather than being enhanced, the phenomena of memory loss would also be possessed by such electronic devices. The device physics mechanism behind memory loss behavior was investigated. This mechanism is sustained by historical memory and degradation manufactured by device trauma to regulate characteristically stimulated origins of artificial transmission behaviors.Results: Under the trauma of a memory device, both the signal amplitude and signal time stimulated by a pulse are lower than the first signal stimulated by a previous pulse in the PPF, representing a new scenario in the struggle for memory. In this way, more typical human brain behaviors could be simulated, including the effect of age on latency and error generation, cerebellar infarct, trauma and memory loss pharmacological actions (such as those caused by hyoscines and nitrazepam). Conclusion: Thus, this study developed a new approach for implementing the manner in which the brain works in semiconductor devices for improving medical research.

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Section: Introductionmentioning

confidence: 99%

<p>Implementation of PPI with Nano Amorphous Oxide Semiconductor Devices for Medical Applications</p>

Dai

et al. 2020

IJN

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“…It is worth to note that not a few groups have fabricated the transistors using various insulators and developed their potential in artificial synapse. Kim et al manufactured EDL-based carbon nanotube (CNT) synaptic transistors, and essential logic and learning behaviors of synapse were emulated [30]. Liu et al, Shao et al and Yu et al exploited single or multiple gate EDLT with SiO 2 -based nanogranular proton conductor films and chitosan films as insulators, on which a variety of synaptic properties were carried out [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

All-metal oxide synaptic transistor with modulatable plasticity

Yang

Chen

et al. 2019

Nanotechnology

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The artificial neural system has attracted tremendous attention in the field of artificial intelligence due to operate mode of parallel computation which is superior to traditional Von Neumann computers in processing complex sensory data and real-time situations with extremely low power dissipation. Remarkable progress has been made in the hardware-based electric-doublelayer synaptic transistors as its modulation by ion movement is similar to biological synapse for the past few years. Unfortunately, long-term potentiation (LTP) timescale is still a big challenge in hardware-based electric-double-layer synaptic transistors which is essential to processing capacity and memory formation. Meanwhile, the effect of ion concentration on the synaptic plasticity has rarely been reported. Here, a solid state electrolyte-gated transistor using Ta 2 O 5 as dielectric layer with unique ionic composition was demonstrated and the regulation of synaptic weight was realized by changing ion concentration. Both the potentiation and depression of synaptic weight such as excitatory post-synaptic current, inhibitory response (IPSC), paired pulse facilitation as well as LTP were successfully simulated. More importantly, oxygen vacancy content was tuned for the first time to modulate synaptic plasticity by varying film thickness and gas ratio, through which the intensity and duration of memory were enhanced with appropriate vacancy concentration. It indicated that appropriate vacancy concentration avoided the effects of internal electric field induced by ion excess, leading to a long-term memory. These results reveal a promising path to improve memory capacity of artificial synapse via ion modulation.

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“…Moreover, carbon nanotube (CNT), as a typical nanowire, has been explored in thin film transistors (TFTs) array to implement various functions of neural networks. [67][68][69][70] The application of CNT TFTs in synaptic circuits not only overcomes the activation energies for charge trapping, but also simplifies the realization of STDP.…”

Section: D Semiconductor Materialsmentioning

confidence: 99%

Bioinspired Vertical Transistors from Artificial Synapse to Neuromorphic System

Huang

Zhang

et al. 2023

Physica Rapid Research Ltrs

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Neuromorphic devices emulating the brain functionality have achieved a substantial scientific leap in the past decade. Among them, neuromorphic vertical transistors have attracted extensive interests due to their abilities of mitigating physical channel‐length limitations and developing new‐generation 3D integrated electronics. In this review, we focus on the recent advances and major trends in the field of emerging neuromorphic devices based on vertical transistor. We start with a brief introduction of biological nervous system and neuromorphic behaviours. Next, we discuss the latest advances in the development of vertical transistor and shed light on bio‐related neuromorphic applications. They are discussed in detail from the aspects of materials and potential applications. Finally, future research challenges in neuromorphic vertical transistor are briefly summarized, and their prospects are discussed.This article is protected by copyright. All rights reserved.

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A Carbon Nanotube Synapse with Dynamic Logic and Learning (Adv. Mater. 12/2013)

Cited by 8 publications

References 0 publications

<p>Implementation of PPI with Nano Amorphous Oxide Semiconductor Devices for Medical Applications</p>

<p>Implementation of PPI with Nano Amorphous Oxide Semiconductor Devices for Medical Applications</p>

All-metal oxide synaptic transistor with modulatable plasticity

Bioinspired Vertical Transistors from Artificial Synapse to Neuromorphic System

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