BCM Learning Rules Emulated by a-IGZO-Based Photoelectronic Neuromorphic Transistors DOI

Shuo Ke,

Chuanyu Fu,

Xinhuang Lin

et al.

IEEE Transactions on Electron Devices, Journal Year: 2022, Volume and Issue: 69(8), P. 4646 - 4650

Published: June 27, 2022

Hardware implementation of Bienenstock–Cooper–Munro (BCM) learning rules would be great implications toward artificial intelligent systems. In this work, amorphous indium gallium zinc oxide (a-IGZO)-based photoelectronic neuromorphic transistors were proposed for mimicking BCM rules. A SiO 2 electrolyte film with a large electric-double-layer capacitance ( $0.33~\mu \text{F}$ /cm 2 ) was used the gate dielectric film. Light induced short-term synaptic plasticity can mimicked by such device, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and high-pass temporal filtering. More importantly, are realized based on transistor. These results provide step forward development systems sophisticated

Language: Английский

Multifunctional Hydrogel Hybrid‐Gated Organic Photoelectrochemical Transistor for Biosensing DOI

Jin Hu,

Meng‐Jiao Lu,

Feng‐Zao Chen

et al.

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(26)

Published: March 29, 2022

Abstract Advanced organic bioelectronics enable smooth fusion between modern electronics and biological systems for better physiological monitoring pathological examinations. Photon‐regulated are especially desirable due to the non‐contact impact, remote‐control, even self‐powered operation. However, few studies have addressed advanced photon‐enabled photoelectrochemical transistor (OPECT) biosensors capable of operation at zero gate bias. Here, on basis a hydrogel/graphene oxide hybrid (denoted as HGH), multifunctional HGH‐gated OPECT biosensor is presented, which exemplified by Ca 2+ ‐triggered gelation CdS quantum dot (QD) photoelectrode linking with sandwich immunoassay toward human IgG model target. Gelation HGH QD electrode can not only inhibit interfacial mass transfer gate/electrolyte interface, but also significantly block light absorption QDs, leading corresponding change channel currents device. At bias, this exhibits high gain in response good analytical performance detection limit 50 fg mL –1 . Given numerous intelligent hydrogel materials their potential interactions light, work unveils general platform developing new class hydrogel‐gated beyond.

Language: Английский

Citations

88

Porous Metal–Organic Framework/ReS2 Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation DOI
Dingdong Xie, Ge Gao, Bobo Tian

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(26)

Published: March 24, 2023

Abstract Visual adaptation allows organisms to accurately perceive the external world even in dramatically changing environments, from dim starlight bright sunlight. In particular, polarization‐sensitive visual can effectively process polarized information that is ubiquitous nature. However, such an intriguing characteristic still remains a great challenge semiconductor devices. Herein, novel porous metal–organic‐framework phototransistor with anisotropic‐ReS 2 ‐based heterojunction demonstrated for emulation. The device exhibits sensitivity and adaptive ability due its strong anisotropic trapping–detrapping characteristics, respectively. A series of neuromorphic behaviors like polarization‐perceptual excitatory postsynaptic current, multimode adjustable dichroic ratio reconfigurable sensory adaption, are experimentally through this phototransistor. More importantly, polarization–electricity cooperation strategy, advanced bottom‐gate control environment dependence successfully realized. These results represent significant step toward new generation intelligent perception systems autonomous navigation human–machine interaction, etc.

Language: Английский

Citations

61

Emerging Iontronic Neural Devices for Neuromorphic Sensory Computing DOI
Shilei Dai, Xu Liu,

Youdi Liu

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(39)

Published: March 9, 2023

Living organisms have a very mysterious and powerful sensory computing system based on ion activity. Interestingly, studies iontronic devices in the past few years proposed promising platform for simulating sensing functions of living organisms, because: 1) can generate, store, transmit variety signals by adjusting concentration spatiotemporal distribution ions, which analogs to how brain performs intelligent alternating flux polarization; 2) through ionic-electronic coupling, bridge biosystem with electronics offer profound implications soft electronics; 3) diversity be designed recognize specific ions or molecules customizing charge selectivity, ionic conductivity capacitance adjusted respond external stimuli schemes, more difficult electron-based devices. This review provides comprehensive overview emerging neuromorphic devices, highlighting representative concepts both low-level high-level introducing important material device breakthroughs. Moreover, as means are discussed regarding pending challenges future directions.

Language: Английский

Citations

55

A bio-inspired visuotactile neuron for multisensory integration DOI Creative Commons
Muhtasim Ul Karim Sadaf,

Najam U Sakib,

Andrew Pannone

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 15, 2023

Multisensory integration is a salient feature of the brain which enables better and faster responses in comparison to unisensory integration, especially when cues are weak. Specialized neurons that receive convergent input from two or more sensory modalities responsible for such multisensory integration. Solid-state devices can emulate response these advance neuromorphic computing bridge gap between artificial natural intelligence. Here, we introduce an visuotactile neuron based on photosensitive monolayer MoS2 memtransistor triboelectric tactile sensor minutely captures three essential features namely, super-additive response, inverse effectiveness effect, temporal congruency. We have also realized circuit encode information into digital spiking events, with probability determined by strength visual cues. believe our comprehensive demonstration bio-inspired spike encoding circuitry will field computing, has thus far primarily focused intelligence processing.

Language: Английский

Citations

45

Bio‐Inspired Sensory Receptors for Artificial‐Intelligence Perception DOI
Atanu Bag, Gargi Ghosh,

M. Junaid Sultan

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

In the era of artificial intelligence (AI), there is a growing interest in replicating human sensory perception. Selective and sensitive bio-inspired receptors with synaptic plasticity have recently gained significant attention developing energy-efficient AI Various their applications perception are reviewed here. The critical challenges for future development outlined, emphasizing need innovative solutions to overcome hurdles sensor design, integration, scalability. can revolutionize various fields, including human-machine interaction, autonomous systems, medical diagnostics, environmental monitoring, industrial optimization, assistive technologies. As advancements sensing continue accelerate, promise creating more intelligent adaptive systems becomes increasingly attainable, marking step forward evolution human-like

Language: Английский

Citations

18

Polarization-perceptual anisotropic two-dimensional ReS2 neuro-transistor with reconfigurable neuromorphic vision DOI
Dingdong Xie, Kai Yin, Zhong‐Jian Yang

et al.

Materials Horizons, Journal Year: 2022, Volume and Issue: 9(5), P. 1448 - 1459

Published: Jan. 1, 2022

A novel polarization-perceptual neuro-transistor with reconfigurable neuromorphic vision is proposed based on a 2D ReS 2 phototransistor. Polarized navigation learning ability and 3D visual polarization imaging are experimentally demonstrated for the first time.

Language: Английский

Citations

52

A Sparse and Spike‐Timing‐Based Adaptive Photoencoder for Augmenting Machine Vision for Spiking Neural Networks DOI Creative Commons
Shiva Subbulakshmi Radhakrishnan,

Shakya Chakrabarti,

Dipanjan Sen

et al.

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(48)

Published: June 8, 2022

The representation of external stimuli in the form action potentials or spikes constitutes basis energy efficient neural computation that emerging spiking networks (SNNs) aspire to imitate. With recent evidence suggesting information brain is more often represented by explicit firing times neurons rather than mean rates, it imperative develop novel hardware can accelerate sparse and spike-timing-based encoding. Here a medium-scale integrated circuit composed two cascaded three-stage inverters one XOR logic gate fabricated using total 21 memtransistors based on photosensitive 2D monolayer MoS2 for encoding visual information, introduced. It shown different illumination intensities be encoded into with time-to-first-spike representing is, higher invoke earlier vice versa. In addition, non-volatile analog programmability photoencoder exploited adaptive photoencoding allows expedited under scotopic (low-light) deferred photopic (bright-light) conditions, respectively. Finally, low expenditure less 1 µJ 2D-memtransistor-based highlights benefits in-sensor bioinspired design transformative acceleration SNNs.

Language: Английский

Citations

50

A novel porous rod with nanosphere CuS2/NiFe2O4 nanocomposite for low-cost high-performance energy storage system DOI
Sumaira Manzoor, Huda A. Alburaih,

Mehar Un Nisa

et al.

Journal of Materials Science Materials in Electronics, Journal Year: 2023, Volume and Issue: 34(4)

Published: Jan. 25, 2023

Language: Английский

Citations

43

A Flexible and Biomimetic Olfactory Synapse with Gasotransmitter‐Mediated Plasticity DOI

Yuping Deng,

Mingyou Zhao, Yuan Ma

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(18)

Published: Feb. 22, 2023

Abstract Neuromorphic electronics has demonstrated great promise in mimicking the sensory and memory functions of biological systems. However, synaptic devices with desirable sensitivity, selectivity, operational voltage imitating olfactory system have rarely been reported. Here, a flexible biomimetic synapse based on an organic electrochemical transistor (OECT) coupled breath‐figure derived porous solid polymer electrolyte (SPE) is proposed. The device demonstrates excellent sensitivity ppb‐level response limit selectivity toward hydrogen sulfide (H 2 S) over other gases, successfully achieves wireless real‐time detection excessive concentration H S from rotten eggs. S‐mediated plasticity accomplished typical behaviors are realized, including short‐term (STM), long‐term (LTM), transition STM to LTM, etc., enabling imitation potential cumulative damages upon exposure. proposed paves new ways next‐generation systems capable sensing memorizing functionalities neurobiological systems, offering critical materials strategies accomplish intelligent artificial

Language: Английский

Citations

40

Biological function simulation in neuromorphic devices: from synapse and neuron to behavior DOI Creative Commons
Hui Chen, Huilin Li, Ting Ma

et al.

Science and Technology of Advanced Materials, Journal Year: 2023, Volume and Issue: 24(1)

Published: Feb. 22, 2023

As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve current problem. Various emerging materials devices have been reported promote development neuromorphic computing. Thereinto, device represented by memristor has attracted extensive research due its outstanding property emulate brain's functions from synaptic plasticity, sensory-memory neurons some intelligent behaviors living creatures. Herein, we mainly review progress these brain mimicked devices, concentrating on synapse (i.e. various plasticity trigger electricity and/or light), (including sensory nervous system) (such as conditioned reflex Pavlov's dog experiment). Finally, challenges prospects related are presented.

Language: Английский

Citations

39