Results 71 to 80 of about 1,614,108 (280)

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

Nature Communications
By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence.
Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tugba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li   +17 more
doaj   +1 more source

Review and outlook on synaptic devices and chips for neuromorphic systems

Gongneng cailiao yu qijian xuebao
As the limitations of traditional von Neumann architecture in handling big data and artificial intelligence applications become increasingly apparent, new computing architectures such as Computing-In-Memory (CIM) and neuromorphic computing have gradually
Sai-ke ZHU, Yi ZHAO
doaj   +1 more source

Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture [PDF]

, 2022
This short article explains why the Epiphany architecture is a proper refer- ence for digital large-scale neuromorphic design. We compare the Epiphany architecture with several modern digital neuromorphic processors.
Vadivel, Kanishkan, Vermesan, Ovidiu, Corradi, Federico; id_orcid, Molendijk, Maarten, Corradi, Federico, van Schaik, Gert-Jan, Yousefzadeh, Amirreza, Corporaal, Henk   +7 more
core   +2 more sources

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Integrating computational modeling, neuroimaging, and neuromodulation to decompose perceptual decision-making in healthy aging: a review of methods, findings, and gaps

Frontiers in Aging Neuroscience
Perceptual decision-making (PDM) — the transformation of sensory input into behavioral choice — declines with healthy aging, leading to slower responses, altered accuracy, and negative impacts on quality of life.
Anna Udoratina, Anna Udoratina, Vladimir Maksimenko, Vladimir Maksimenko, Susanna Gordleeva, Susanna Gordleeva, Susanna Gordleeva   +6 more
doaj   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips

Advanced Devices & Instrumentation
Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers
Yike Xiao, Cheng Gao, Juncheng Jin, Weiling Sun, Bowen Wang, Yukun Bao, Chen Liu, Wei Huang, Hui Zeng, Yefeng Yu   +9 more
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

2D multifunctional devices: from material preparation to device fabrication and neuromorphic applications

International Journal of Extreme Manufacturing
Neuromorphic computing systems, which mimic the operation of neurons and synapses in the human brain, are seen as an appealing next-generation computing method due to their strong and efficient computing abilities.
Zhuohui Huang, Yanran Li, Yi Zhang, Jiewei Chen, Jun He, Jie Jiang   +5 more
doaj   +1 more source

Low‐Power Computing with Neuromorphic Engineering

Advanced Intelligent Systems, 2021
The increasing power consumption in the existing computation architecture presents grand challenges for the performance and reliability of very‐large‐scale integrated circuits. Inspired by the characteristics of the human brain for processing complicated
Dingbang Liu, Hao Yu, Yang Chai
doaj   +1 more source