Results 61 to 70 of about 76,792 (271)

Low-Dimensional-Materials-Based Flexible Artificial Synapse: Materials, Devices, and Systems

Nanomaterials, 2023
With the rapid development of artificial intelligence and the Internet of Things, there is an explosion of available data for processing and analysis in any domain.
Qifeng Lu, Yinchao Zhao, Long Huang, Jiabao An, Yufan Zheng, Eng Hwa Yap   +5 more
doaj   +1 more source

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

Artificial sensory system based on memristive devices

Exploration
In the biological nervous system, the integration and cooperation of parallel system of receptors, neurons, and synapses allow efficient detection and processing of intricate and disordered external information.
Ju Young Kwon, Ji Eun Kim, Jong Sung Kim, Suk Yeop Chun, Keunho Soh, Jung Ho Yoon   +5 more
doaj   +1 more source

High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots

Scientific Reports, 2023
Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation.
Lijie Kou, Nan Ye, Anjam Waheed, Rahmat Zaki Auliya, Chaoxing Wu, Poh Choon Ooi, Fushan Li   +6 more
doaj   +1 more source

The chronotron: a neuron that learns to fire temporally-precise spike patterns [PDF]

, 2010
In many cases, neurons process information carried by the precise timing of spikes. Here we show how neurons can learn to generate specific temporally-precise output spikes in response to input spike patterns, thus processing and memorizing information ...
Ră
core   +1 more source

Highly Scalable Neuromorphic Hardware with 1-bit Stochastic nano-Synapses

, 2013
Thermodynamic-driven filament formation in redox-based resistive memory and the impact of thermal fluctuations on switching probability of emerging magnetic switches are probabilistic phenomena in nature, and thus, processes of binary switching in these ...
Kavehei, Omid, Skafidas, Efstratios
core   +1 more source

Spectrally Tuned Floating‐Gate Synapse Based on Blue‐ and Red‐Absorbing Organic Molecules for Wavelength‐Selective Neural Networks and Fashion Image Classifications

Advanced Functional Materials, EarlyView.
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang, Jisoo Park, Jinwoong Hong, Jinmin Park, Jeongbo Lee, Hyeonjung Kim, Wonjun Shin, Eva Bestelink, Radu A. Sporea, Seyong Oh, Chung Whan Lee, Yun‐Hi Kim, Hocheon Yoo   +12 more
wiley   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Spintronic Artificial Synapses Using Voltage‐Controlled Multilevel Magnetic States

Advanced Electronic Materials
Neuromorphic computing offers energy‐efficient computations for large‐scale data processing compared to conventional von Neumann computing. The artificial synapse, a key element for learning and memory operations in neuromorphic computing, requires multi‐
Jimin Jeong, Yunho Jang, Min‐Gu Kang, Seungeon Hwang, Jongsun Park, Byong‐Guk Park   +5 more
doaj   +1 more source

Self-Powered Photonic Synapses with Rapid Optical Erasing Ability for Neuromorphic Visual Perception

Research
Photonic synapses combining photosensitivity and synaptic function can efficiently perceive and memorize visual information, making them crucial for the development of artificial vision systems.
Mingchao Li, Chen Li, Kang Ye, Yunzhe Xu, Weichen Song, Cihui Liu, Fangjian Xing, Guiyuan Cao, Shibiao Wei, Zhihui Chen, Yunsong Di, Zhixing Gan   +11 more
doaj   +1 more source