A low-power stretchable neuromorphic nerve with proprioceptive feedback

Lee, Yeongjun; Liu, Yuxin; Seo, Dae‐Gyo; Oh, Jin Young; Kim, Yeongin; Li, Jinxing; Kang, Jiheong; Kim, Jaemin; Mun, Je Ho; Foudeh, Amir M.; Bao, Zhenan; Lee, Tae‐Woo

doi:10.1038/s41551-022-00918-x

Cited by 104 publications

(122 citation statements)

References 46 publications

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“…Numerous ion‐permeable polymers have been used for state‐of‐art artificial synapses; examples include conducting polymers such as PEDOT:PSS, [ 181,188–190,193–195,197,198 ] and semiconducting polymers that include thiophene‐based semicrystalline polymers such as P3HT, [ 167,170,191,196,200,202 ] poly(2‐(3,3′‐bis(2‐(2‐(2‐methoxyethoxy)ethoxy)ethoxy)‐[2,2′‐bithiophen]‐5‐yl)thieno[3,2‐b]thiophene) (p(g2T‐TT)), [ 187 ] poly[[4,8‐bis[5‐(2‐ethylhexyl)‐2‐thienyl]benzo[1,2‐b:4,5‐b′]dithiophene‐2,6‐diyl][2‐(2‐ethyl‐1‐oxohexyl)thieno[3,4‐b]thiophenediyl]] (PBDTTT‐C‐T), [ 173 ] and donor‐acceptor polymers such as poly(thienoisoindigo‐naphthalene) (PTIIG‐NP), [ 169 ] and poly[(3,7‐bis(heptadecyl)thieno[3,2‐b] thieno[2′,3′:4,5]thieno[2,3‐d]thiophene‐5,5′‐diyl)(2,5‐bis(8‐octyloctadecyl)‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione‐5,5′‐diyl)] (FT4‐DPP). [ 31,158,241 ]…”

Section: Nervetronics For Neuroprostheticsmentioning

confidence: 99%

“…Numerous ion-permeable polymers have been used for state-of-art artificial synapses; examples include conducting polymers such as PED OT:PSS, [181,[188][189][190][193][194][195]197,198] and semiconducting polymers that include thiophene-based semicrystalline polymers such as P3HT, [167,170,191,196,200,202] [187] poly[ [4,8- [3,4-b]thiophenediyl]] (PBDTTT-C-T), [173] and donoracceptor polymers such as poly(thienoisoindigo-naphthalene) (PTIIG-NP), [169] and poly[(3,7-bis(heptadecyl)thieno[3,2-b] thieno[2′,3′:4,5]thieno[2,3-d]thiophene-5,5′-diyl)(2,5-bis(8octyloctadecyl)-3,6-di(thiophen-2-yl)pyrrolo [3,4-c]pyrrole-1,4(2H,5H)-dione-5,5′-diyl)] (FT4-DPP). [31,158,241] Adv. Mater.…”

Section: Artificial Synapsementioning

confidence: 99%

“…Artificial synapses with wavy ONW semiconductors have been developed to have stable synaptic characteristics without noticeable degradation upon 100% strain (Figure 14d). [158,241] The single electrospun ONW was transferred onto 100% prestrained styrene-ethylene-butylene-styrene rubbery substrate. The spike-dependent synaptic properties did not show noticeable change upon strain; therefore, this artificial nervous Figure 14.…”

Section: Wearable and Implantablementioning

confidence: 99%

“…[31,158,[164][165][166][167][168][169][170][171][172][173] Furthermore, nervetronics have been integrated with living animals. [31,241] Such approaches may facilitate use of organic nervetronics as a core element of neuroprosthetics.…”

Section: Progress Of Organic Nervetronics For Neuroprostheticsmentioning

confidence: 99%

“…Nervetronics can implement sensory and motor function of biological counterparts with sensors and actuators by connecting them with artificial synapses and neurons (Figure 15a). [31,158,241] Similar to the biological sensory-reception mechanism, the nervetronic system receives sensory information via bioinspired sensory receptors (Figure 15b). [31,149,216] The artificial synapses are spike-dependently activated, so pre-synaptic signals encoded as series of spikes from artificial receptors would be preferred, otherwise signal-converting units would be necessary to transform signals.…”

Section: Progress Of Organic Nervetronics For Neuroprostheticsmentioning

confidence: 99%

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Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics

Lee

Seo

et al. 2022

Advanced Materials

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signals transmit various information from internal and external environments of organisms to each organ. Neurological diseases can impede transmission of neural signals and can cause severe symptoms. These diseases significantly reduce the quality of life, and can also be life-threatening. Neurological disease is a leading cause of disability-adjusted lifeyears (DALYs) which affected more than 276 million people globally in 2016. [1] In 2010 in the US, DALYs of spinal cord injuries were 445 911, which was higher than those of human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS). [2] Drugs and neurosurgery are being developed to treat neurological diseases, but due to complex pathophysiology are not always effective. [3] Cell therapies repair the damaged tissues by introducing new cells, and gene therapies treat neurological disease by introducing genes into the body. These therapies enable fundamental treatment because they remove damaged cells and defective genes that are the causes of the diseases, but may cause severe or fatal side-effects such as immune responses. [4,5] Therefore, new methods for general treatment of neurological disease are being sought.Electric therapy is a promising method to diagnose disease by recording neural electronic signals and to treat disorders by using electrical signals to stimulate tissues. [6] The electrical stimulation has few side-effects, and is regarded as a possible and safe method to treat intractable neurological disorders. [7] For example, electrical stimulation has successfully recovered the lost functions from spinal cord injury. [8] However, despite these advantages, the development of neuroelectronics is still in its infancy; further research must be conducted to improve its efficacy and stability and to ensure that it does not limit daily life.Neuroelectronics can be divided into two main categories: neural interfaces that record or stimulate neural signals, and neuroprosthetics that replace damaged sensory and motor organs and neural signal pathway. Among the diverse forms of neuroprosthetics, this review focuses on bioelectronic devices that relay electrophysiological signals by bypassing damaged nerves. Conventionally, metal electrodes have been developed as a neural electrode for diagnosis and treatment due to their high electrical conductivity, and ease of processing in high density arrays. [9][10][11] For example, use of metal electrodes for electroencephalography (EEG) is a promising method to diagnose epilepsy. [12] Also, deep Requirements and recent advances in research on organic neuroelectronics are outlined herein. Neuroelectronics such as neural interfaces and neuroprosthetics provide a promising approach to diagnose and treat neurological diseases. However, the current neural interfaces are rigid and not biocompatible, so they induce an immune response and deterioration of neural signal transmission. Organic materials are promising candidates for neural interfaces, due to their mechanical softness, excellent electrochemical p...

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Section: Nervetronics For Neuroprostheticsmentioning

confidence: 99%

Section: Artificial Synapsementioning

confidence: 99%

Section: Wearable and Implantablementioning

confidence: 99%

Section: Progress Of Organic Nervetronics For Neuroprostheticsmentioning

confidence: 99%

Section: Progress Of Organic Nervetronics For Neuroprostheticsmentioning

confidence: 99%

See 3 more Smart Citations

Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics

Lee

Seo

et al. 2022

Advanced Materials

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Carbon Nanotube Optoelectronic Synapse Transistor Arrays with Ultra‐Low Power Consumption for Stretchable Neuromorphic Vision Systems

Xie

Wang

et al. 2023

Adv Funct Materials

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High‐performance stretchable optoelectronic synaptic transistor arrays are key units for constructing and mimicking simulated neuromorphic vision systems. In this study, ultra‐low power consumption and low‐operation‐voltage stretchable all‐carbon optoelectronic synaptic thin film transistors (TFTs) using sorted semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) modified with CdSe/ZnS quantum dots as active layers on ionic liquid‐based composite elastomer substrates are first reported. The resulting stretchable TFT devices show enhancement‐mode characteristics with excellent electrical properties (such as the record on/off ratios up to 105, negligible hysteresis, and small subthreshold swing), excellent mechanical tensile properties (such as the only 12.4% and 6.4% degradations of the carrier mobility after 20% vertical and horizontal strain stretching), and optoelectronic synaptic plasticity (for the recognition of Morse codes) with ultra‐low power consumptions (15.38 aJ) at the operating voltage from −1 to 0.2 V. At the same time, the designed nonvolatile conductance of the stretchable SWCNT optoelectronic synapse thin film transistors (SSOSTFTs) stimulated by UV light and the bending angle are first used to simulate stretchable neuromorphic vision systems (including the functions of the crystalline lens and optic cone cells as bionic eyes) for detecting the atmospheric environment with a record accuracy of 95.1% as a bionic eye.

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Brain‐Inspired Organic Electronics: Merging Neuromorphic Computing and Bioelectronics Using Conductive Polymers

Krauhausen,

Coen,

Spolaor

et al. 2023

Adv Funct Materials

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Neuromorphic computing offers the opportunity to curtail the huge energy demands of modern artificial intelligence (AI) applications by implementing computations into new, brain‐inspired computing architectures. However, the lack of fabrication processes able to integrate several computing units into monolithic systems and the need for new, hardware‐tailored training algorithms still limit the scope of application and performance of neuromorphic hardware. Recent advancements in the field of organic transistors present new opportunities for neuromorphic systems and smart sensing applications, thanks to their unique properties such as neuromorphic behavior, low‐voltage operation, and mixed ionic‐electronic conductivity. Organic neuromorphic transistors push the boundaries of energy efficient brain‐inspired hardware AI, facilitating decentralized on‐chip learning and serving as a foundation for the advancement of closed‐loop intelligent systems in the next generation. The biocompatibility and dual ionic‐electronic conductivity of organic materials introduce new prospects for biointegration and bioelectronics. Their ability to sense and regulate biosystems, as well as their neuro‐inspired functions can be combined with neuromorphic computing to create the next‐generation of bioelectronics. These systems will be able to seamlessly interact with biological systems and locally compute biosignals in a relevant matter.

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A low-power stretchable neuromorphic nerve with proprioceptive feedback

Cited by 104 publications

References 46 publications

Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics

Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics

Carbon Nanotube Optoelectronic Synapse Transistor Arrays with Ultra‐Low Power Consumption for Stretchable Neuromorphic Vision Systems

Brain‐Inspired Organic Electronics: Merging Neuromorphic Computing and Bioelectronics Using Conductive Polymers

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