Inorganic proton conducting electrolyte coupled oxide-based dendritic transistors for synaptic electronics

Wan, Chunru; Zhu, Li; Zhou, Ju; Shi, Yi; Wan, Qing

doi:10.1039/c3nr05882d

Cited by 61 publications

(38 citation statements)

References 36 publications

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“…Three‐terminal field‐effect transistors (FETs) have also been proposed for artificial synapse applications . However, few FETs are reported to mimic STDP learning behaviors . Besides, although some works have been reported to simulate classic conditioning, complex device circuits, materials and structure are the key to mimic classic conditioning in these references .…”

Section: Introductionmentioning

confidence: 99%

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Zhu

Xiao

et al. 2018

Adv Funct Materials

Self Cite

166

149

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In neural system, both spike-timing-dependent plasticity (STDP) and conditioned reflex are vital synaptic learning mechanisms to regulate advanced neural activities, being associated with temporally coupled stimuli. Thus, realization of STDP and conditioned reflex on a single solid-state device may open up new opportunities for neuromorphic engineering. Here, restickable chitosan-gated oxide neuromorphic transistors are fabricated on polyimide tape. Based on protonic electrochemical doping/de-doping processes at indium-tin-oxide/chitosan interfaces, four types of STDP learning rules are successfully demonstrated, including Hebbian STDP, anti-Hebbian STDP, symmetrical STDP, and visual STDP. Trained with Hebbian STDP, Pavlovian associative learning and extinction behaviors are demonstrated successfully on a single-oxide neuromorphic transistor. No complex device circuits are needed. It is interesting to note here that the devices can be pasted on different holders with different curvature radii without degrading the transistor performances and STDP learning rules. Moreover, the proposed oxide neuromorphic transistors can be dissolved in deionized water easily. The results here indicate potential applications of the proposed restickable oxide neuromorphic transistors in flexible neuromorphic cognitive platforms.

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Section: Introductionmentioning

confidence: 99%

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Zhu

Xiao

et al. 2018

Adv Funct Materials

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166

149

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“…In addition to CNTs, oxide semiconductors have also been used as channel materials in electrolyte‐gated synaptic transistors, where indium‐zinc oxide (IZO) and indium‐gallium‐zinc oxide (IGZO) are the most widely used oxide materials . High intrinsic carrier mobility, excellent optical transparency, decent flexibility, and good compatibility with large‐area processing technologies make these metal oxides promising candidates for artificial synaptic transistors.…”

Section: Electrolyte‐gate Synaptic Transistorsmentioning

confidence: 99%

“…High intrinsic carrier mobility, excellent optical transparency, decent flexibility, and good compatibility with large‐area processing technologies make these metal oxides promising candidates for artificial synaptic transistors. Wan and co‐workers have fabricated IZO‐based electrolyte‐gated synaptic transistors with flexibility, short‐term to long‐term transition behaviors, dynamic logic and dendritic integration functions . In addition, they have also demonstrated a brain‐inspired cognitive system based on proton‐conducting graphene oxide‐coupled IZO synaptic transistor .…”

Section: Electrolyte‐gate Synaptic Transistorsmentioning

confidence: 99%

Recent Advances in Transistor‐Based Artificial Synapses

Dai

Zhao

Wang

et al. 2019

Adv Funct Materials

473

422

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Simulating biological synapses with electronic devices is a re-emerging field of research. It is widely recognized as the first step in hardware building brain-like computers and artificial intelligent systems. Thus far, different types of electronic devices have been proposed to mimic synaptic functions. Among them, transistor-based artificial synapses have the advantages of good stability, relatively controllable testing parameters, clear operation mechanism, and can be constructed from a variety of materials. In addition, they can perform concurrent learning, in which synaptic weight update can be performed without interrupting the signal transmission process. Synergistic control of one device can also be implemented in a transistor-based artificial synapse, which opens up the possibility of developing robust neuron networks with significantly fewer neural elements. These unique features of transistor-based artificial synapses make them more suitable for emulating synaptic functions than other types of devices. However, the development of transistor-based artificial synapses is still in its very early stages. Herein, this article presents a review of recent advances in transistor-based artificial synapses in order to give a guideline for future implementation of synaptic functions with transistors. The main challenges and research directions of transistor-based artificial synapses are also presented.In the nerve system, a synapse is a specialized structure that allows a neuron to pass chemical or electrical signals to another Figure 2. a) Schematic illustration (top) and microscopy image (bottom) of flexible synaptic transistors based on a random matrix of semiconducting CNTs. b) Case 1: the amplitudes of V LTP and V LTP are greater than other cases; thus, NL is the highest and ΔG is the largest. c) Case 2: the amplitudes of V LTP and V LTP are smaller than in case 1; thus, NL and ΔG are lower. d) Case 3: if the CNT transistor without the Au floating gate is used for the synaptic transistor, NL and ΔG are considerably smaller than in the other cases due to the limited charge storage space. Reproduced with permission. [87]

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“…Recently, natural biopolymers have also been reported to act as electrolytes which can work as the gate dielectric of FETs [6,9]. Electrolytes gating plays an important role in the development of novel electronic devices [15][16][17][18][19][20][21]. at room temperature in air with a relative humidity of ~60%.…”

Section: Introductionmentioning

confidence: 99%

Solution-processed natural gelatin was used as a gate dielectric for the fabrication of oxide field-effect transistors

Sun

Qian

et al. 2016

Organic Electronics

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Biocompatible and biodegradable materials are attractive for environmentally safe, flexible and biosustainable devices since they are nontoxic renewable materials with a low cost. Gelatin, a natural protein, is a promising biopolymer for photography, cosmetic manufacturing and food. In this paper, solution-processed natural gelatin was used as a gate dielectric for the fabrication of oxide field-effect transistors (FETs). Similarly to a polyelectrolyte, mobile ions can be generated in gelatin in air environment. A high gate specific capacitance larger than 0.93 µF/cm 2 was obtained in gelatin processed at low concentrations, due to the formation of electric-double-layers (EDLs). As gelatin films processed at a low concentration of 0.02 g/mL, the fabricated FETs showed excellent electrical performances. The average current on/off ratio and the mobility were estimated to be 1.36×10 5 and 33.2 cm 2 /Vs, respectively. The proposed technique may be application in the bioelectronics field, including biosensors and synaptic devices.

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Inorganic proton conducting electrolyte coupled oxide-based dendritic transistors for synaptic electronics

Cited by 61 publications

References 36 publications

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Restickable Oxide Neuromorphic Transistors with Spike‐Timing‐Dependent Plasticity and Pavlovian Associative Learning Activities

Recent Advances in Transistor‐Based Artificial Synapses

Solution-processed natural gelatin was used as a gate dielectric for the fabrication of oxide field-effect transistors

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