A flexible artificial intrinsic-synaptic tactile sensory organ

Lee, Yu Rim; Trung, Tran Quang; Hwang, Byeong‐Ung; Lee, Nae‐Eung

doi:10.1038/s41467-020-16606-w

Cited by 148 publications

(123 citation statements)

References 69 publications

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“…Meanwhile, an organic synaptic transistor containing a ferroelectric nanocomposite can mimic the Merkel cell‐neurite complex in order to tune filtering and sensory memory functions. [ 92 ] Additionally, this organic ferroelectric material can be easily dissolved in an organic solution and coating on practically any substrates, offering feasible solutions for flexible device integration and large‐scale fabrication. The FeFETs fabricated by P(VDF‐TrFE) have already been taken into account for organic synaptic device applications as shown in Figure 3c.…”

Section: Materials and Structures Of Organic Synaptic Devicesmentioning

confidence: 99%

Organic Synaptic Transistors: The Evolutionary Path from Memory Cells to the Application of Artificial Neural Networks

Shao

Zhao

Liu

2021

Adv Funct Materials

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The progress of neural synaptic devices is experiencing an era of explosive growth. Given that the traditional storage system has yet to overcome the von Neumann bottleneck, it is critical to develop hardware with bioinspired information processing functions and lower power consumption. Transistors based on 2D materials, metal oxides, and organic materials have been adopted to mimic the synapse of a human brain, due to their high plasticity, parallel computing, integrated storage, and system information processing. Among these materials used to build transistors, organic semiconductors are considered to be the most promising candidate for neural synaptic devices and bio‐electronics, owing to their easy processing, mechanical flexibility, low cost, good bio‐compatibility, and ductility. This review focuses on the recent advances in organic synaptic devices with various structures, materials, and working mechanisms. The applications of artificial neural networks that integrate multiple organic synaptic transistors are also concretely discussed. Finally, the challenges that organic synaptic devices currently face are discussed and future developments are forecast.

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Section: Materials and Structures Of Organic Synaptic Devicesmentioning

confidence: 99%

Organic Synaptic Transistors: The Evolutionary Path from Memory Cells to the Application of Artificial Neural Networks

Shao

Zhao

Liu

2021

Adv Funct Materials

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“…reported an artificial tactile sensory organ utilizing synaptic transistor with gate dielectric of ferroelectric nanocomposite of BTO and P(VDF‐TrFE) covered by a triboelectric layer. [ 30 ]…”

Section: Ferroelectric Synaptic Transistor As Three‐terminal Synapsesmentioning

confidence: 99%

Ferroelectric Synaptic Transistor Network for Associative Memory

Yan

Zhu

Wang

et al. 2021

Adv Elect Materials

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Brain‐inspired associative memory is meaningful for pattern recognitions and image/speech processing. Here, a ferroelectric synaptic transistor network is proposed that is capable of associative learning and one‐step recalling of a whole set of data from only partial information. The competition between an external field and the internal depolarization field governs the ferroelectric creep of domain walls and offers each single ferroelectric synapse a full and subfemtojoule‐energy‐cost Hebbian synaptic plasticity, including short‐term memory (STM) to long‐term memory (LTM) transition, and remarkably both spike‐timing‐dependent plasticity (STDP) and spike‐rate‐dependent plasticity (SRDP). Assisted by the third terminal to control the ferroelectric domain dynamics, self‐adaptive coupling between neurons is realized by updating synaptic weight concurrently. Pavlov's dog experiment and multiassociative memories are demonstrated in this ferroelectric synaptic transistor network. Such ferroelectric synaptic transistor network is available for building multilayer neural networks and provides new avenues for associative‐memory information processing.

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“…As an alternative to the conventional rigid and bulky devices, ultrathin flexible devices on polymeric substrates have been proposed (5)(6)(7)(8)(9). These include biosensing devices that detect biosignals and/or biomarkers on human skin to gather physiological or biochemical information (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) and drug delivery devices that supply feedback therapies (22)(23)(24)(25). The ultrathin form factor of these devices reduces flexural rigidity and thus prevents mechanical failure when the device is deformed upon human movement (26).…”

Section: Introductionmentioning

confidence: 99%

Tissue-like skin-device interface for wearable bioelectronics by using ultrasoft, mass-permeable, and low-impedance hydrogels

et al. 2021

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Hydrogels consist of a cross-linked porous polymer network and water molecules occupying the interspace between the polymer chains. Therefore, hydrogels are soft and moisturized, with mechanical structures and physical properties similar to those of human tissue. Such hydrogels have a potential to turn the microscale gap between wearable devices and human skin into a tissue-like space. Here, we present material and device strategies to form a tissue-like, quasi-solid interface between wearable bioelectronics and human skin. The key material is an ultrathin type of functionalized hydrogel that shows unusual features of high mass-permeability and low impedance. The functionalized hydrogel acted as a liquid electrolyte on the skin and formed an extremely conformal and low-impedance interface for wearable electrochemical biosensors and electrical stimulators. Furthermore, its porous structure and ultrathin thickness facilitated the efficient transport of target molecules through the interface. Therefore, this functionalized hydrogel can maximize the performance of various wearable bioelectronics.

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A flexible artificial intrinsic-synaptic tactile sensory organ

Cited by 148 publications

References 69 publications

Organic Synaptic Transistors: The Evolutionary Path from Memory Cells to the Application of Artificial Neural Networks

Organic Synaptic Transistors: The Evolutionary Path from Memory Cells to the Application of Artificial Neural Networks

Ferroelectric Synaptic Transistor Network for Associative Memory

Tissue-like skin-device interface for wearable bioelectronics by using ultrasoft, mass-permeable, and low-impedance hydrogels

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