Results 61 to 70 of about 1,900,337 (342)

Quantum Dots for Resistive Switching Memory and Artificial Synapse

Nanomaterials
Memristor devices for resistive-switching memory and artificial synapses have emerged as promising solutions for overcoming the technological challenges associated with the von Neumann bottleneck.
Gyeongpyo Kim, Seoyoung Park, Sungjun Kim   +2 more
doaj   +1 more source

The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity

, 2018
Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics.
Collins, Logan Thrasher
core   +1 more source

Ultrasound: A new strategy for artificial synapses modulation

InfoMat
Due to its non‐invasive nature, ultrasound has been widely used for neuromodulation in biological systems, where its application influences the synaptic weights and the process of neurotransmitter delivery.
Junru Yuan, Yi Li, Meng Wang, Xiaodi Huang, Tao Zhang, Kanhao Xue, Jun-Ru Yuan, Jun Ou-yang, Xiaofei Yang, Xiangshui Miao, Benpeng Zhu   +10 more
semanticscholar   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Robust Lead‐Free Perovskite Nanowire Array‐Based Artificial Synapses Exemplifying Gestalt Principle of Closure via a Letter Recognition Scheme

Advanced Intelligent Systems, 2022
The Gestalt principles of perceptual learning elucidate how the human brain categorizes and comprehends a set of visual elements grouped together. One of the principles of Gestalt perceptual learning is the law of closure which propounds that human ...
Swapnadeep Poddar, Zhesi Chen, Zichao Ma, Yuting Zhang, Chak Lam Jonathan Chan, Beitao Ren, Qianpeng Zhang, Daquan Zhang, Guozhen Shen, Haibo Zeng, Zhiyong Fan   +10 more
doaj   +1 more source

Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses

Advanced Functional Materials, EarlyView.
Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee, Jinsung Kim, Sein Chung, Junho Sung, Chaeyeon Han, Eunho Lee   +5 more
wiley   +1 more source

Paired-pulse facilitation achieved in protonic/electronic hybrid indium gallium zinc oxide synaptic transistors

AIP Advances, 2015
Neuromorphic devices with paired pulse facilitation emulating that of biological synapses are the key to develop artificial neural networks. Here, phosphorus-doped nanogranular SiO2 electrolyte is used as gate dielectric for protonic/electronic hybrid ...
Li Qiang Guo, Li Qiang Zhu, Jian Ning Ding, Yu Kai Huang   +3 more
doaj   +1 more source

Soft Artificial Synapse Electronics

Research
Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered by the limitations of the conventional von Neumann architecture.
Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu   +2 more
openaire   +2 more sources

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface

, 2016
Experiments show that spike-triggered stimulation performed with Bidirectional Brain-Computer-Interfaces (BBCI) can artificially strengthen connections between separate neural sites in motor cortex (MC).
Fairhall, Adrienne L., Fetz, Eberhard E., Kalaska, John F., Krouchev, Nedialko I., Lajoie, Guillaume   +4 more
core   +9 more sources