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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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This paper presents the Post-Stimulus Time-Dependent Event Descriptor (P-TED), a novel “pure event” feature descriptor designed for neuromorphic vision data. Unlike conventional frame-based approaches or hybrid methods that transform event data into intermedia…
europepmc
Shane Harrigan, Sonya Coleman, Dermot Kerr, Pratheepan Yogarajah 等
2026
置信度 0.80
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Recent years have witnessed a surge in the research of memristors as fundamental building blocks for neuromorphic computing, owing to their exceptional ability to emulate the plastic behavior of biological synapses in a high-density, low-power hardware format.…
europepmc
2026
置信度 0.80
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Spiking neural networks (SNN) provide superior potential for neuromorphic architecture implementation due to its similarity to biological brain structures and exceptional computing efficiency. Neurons are the fundamental elements of SNN, and the incorporation …
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Organic molecule-based memristive devices are promising candidates for next-generation data storage devices due to their scalability and low cost. This work discusses a resistive memory device based on a small organic molecule 2-mercapto-1-methylimidazole (MMI…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Neuromorphic computing, particularly memristor-based architectures, offers a promising route to overcome the von Neumann bottleneck. Single-molecule devices, with their high integration density and low energy consumption, represent an emerging platform for nex…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Photonic organic field-effect transistors (OFETs) mimicking biological neurons hold great promise for neuromorphic computing. However, current organic optoelectronic materials still suffer from limited functionality and the low atom economy of conventional syn…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
Reconstruction of sea surface temperature is critical for marine monitoring, yet conventional edge devices based on complementary metal-oxide-semiconductor (CMOS) technology suffer from memory-wall bottlenecks and radiation vulnerability in harsh marine enviro…
europepmc
2026
置信度 0.80
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Fiber-shaped iontronic synapses (FEISs) are emerging as promising building blocks for next-generation wearable neuromorphic computing due to their ability to emulate biological signal transmission and plasticity. However, their practical application remains li…
europepmc
2026
置信度 0.80
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Biological visual systems perceive information by processing light signals through the regulation of synaptic weights in the nervous system. Consequently, optoelectronic synaptic devices that directly respond to light stimuli and mimic synaptic plasticity hold…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Biological neural systems sustain adaptive cognition under persistent and severe metabolic constraints. This paper develops a multi-scale thermodynamic framework in which those constraints function as organizing principles of neural efficiency and cognitive ar…
europepmc
2026
置信度 0.80
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As the core interface for human-computer interaction, multitask intelligent display systems face increasingly stringent demands regarding precision and functional integration. However, in existing architectures, light-emitting units only act as passive display…
europepmc
2026
置信度 0.80
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Bioinspired neuromorphic and in-memory computing requires devices that store and process information through ionic dynamics analogous to biological synapses. Here, we report a polyelectrolyte conformational nanofluidic memristor (PCM) that integrates synaptic …
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
Spintronic-based brain-inspired neuromorphic computing has recently attracted significant attention due to the exceptional properties of magnetic microstructures, including nanoscale dimensions, high stability, and low energy consumption. Despite these advanta…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
Tin-lead perovskites offer great potentials for neuromorphic optoelectronics owing to their narrow bandgap and robust near-infrared (NIR) absorption. However, high-performance three-terminal artificial synapses based on these materials remain scarce due to cha…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
The virtual screening of make-on-demand small molecule libraries can prioritize drug candidates for rapid experimental validation to accelerate pre-clinical drug discovery. As ultra-large libraries grow to billions of compounds, exhaustive screening incurs pro…
europepmc
2026
置信度 0.80
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europepmc
Qiulin Li, Junsong Wang, Jianfang Wu
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
The growing demand for fast and energy-efficient computing has motivated the development of neuromorphic hardware inspired by biological neural systems. Spiking neural networks (SNNs), as the third generation of neural networks, offer an event-driven and highl…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
Diamond has been recognized as the ultimate semiconductor due to its ultra-wide bandgap, exceptional carrier mobility, high breakdown voltage, and superior thermal conductivity. However, its application in memristors is significantly limited by challenges in m…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Training physical neural networks directly in matter remains difficult because most platforms do not store and update weights within the same physical substrate. Here we show that engineered Escherichia coli can implement a genetically encoded local learning r…
preprints
2026
置信度 0.74
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This journal article introduces a significantly expanded framework for integrating dynamic neuromorphic event-based processing with tropical hyperdimensional computing in cognitive ontology networks. Enhancements include the exploration of practical applicatio…
crossref
Robert Mc Menemy
2025-03-04T13:33:53Z
置信度 0.70
-
crossref
Prerna Dusi
2026-03-20T19:30:19Z
置信度 0.70
-
crossref
Jinshi Zhao, Yuxiang Cao, He Liu, Chenming Dong 等
2026-07-19T14:25:52Z
置信度 0.70
-
Abstract The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. To overcome the von Neumann bottleneck, compact and light-weight logic…
crossref
Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay
2025-04-17T18:50:41Z
置信度 0.70
-
Abstract Biological nervous systems encode information through transient, event-driven spikes, motivating neuromorphic hardware that can reproduce such dynamics efficiently. Diffusive memristors are strong candidates because their volatile, threshold-driven re…
crossref
Seung Ju Kim, Ruoyu Zhao, Yichun Xu, Jian Zhao 等
2026-08-13T22:50:53Z
置信度 0.70
-
crossref
Viktor V. Krasnikov, Alexander A. Chezhegov, Artem S. Chizhov, Andrey A. Grunin 等
2026-08-07T13:02:48Z
置信度 0.70
-
crossref
2026-05-06T14:50:57Z
置信度 0.70
-
Abstract The artificial intelligence-driven data deluge presents formidable challenges to conventional computing architectures, which are constrained by the von Neumann bottleneck and complementary metal-oxide-semiconductor (CMOS) scaling limits. Neuromorphic …
crossref
Xiaochao Zhang, Haiting Wang, Xuzhao Zhang, Dongyue Wang
2026-01-14T00:33:52Z
置信度 0.70
-
crossref
2026-04-20T19:31:17Z
置信度 0.70
-
Achieving sub-volt, nanosecond-to-millisecond synaptic plasticity in a scalable ferroelectric platform remains a key challenge for neuromorphic hardware.
crossref
Sai Jiang, Chaoran Wu, Jinrui Sun, Sihao Xu 等
2026-03-16T07:02:40Z
置信度 0.70
-
crossref
Kanishka Gunawardana, Sanka Peeris, Kavishka Rambukwella, Roshan Ragel 等
2026-01-06T15:08:54Z
置信度 0.70
-
crossref
2026-05-06T14:50:57Z
置信度 0.70
-
crossref
Catherine Rodriquez, James Michael Ghawaly
2026-07-16T05:57:39Z
置信度 0.70
-
crossref
Elliot Kisiel
2026-02-19T17:21:54Z
置信度 0.70
-
crossref
Chang Liu
2026-07-16T05:57:39Z
置信度 0.70
-
crossref
Joseph Randich, Justin Mauger, Haik Manukian
2026-07-16T05:57:39Z
置信度 0.70
-
Abstract This paper introduces PIRA-X, extending the Physio-Informatic Reduction Algorithm (PIRA) paradigm from discrete classical boundaries to continuous-state physical architectures, notably Quantum Annealing (QA) substrates and Neuromorphic crossbar arrays…
crossref
Md Azahar Ali
2026-06-16T11:03:59Z
置信度 0.70
-
crossref
Linus Silbernagel, Daniel C. Stumpp, Alan D. George
2026-05-22T19:33:47Z
置信度 0.70
-
crossref
2026-05-06T14:50:57Z
置信度 0.70
-
crossref
Jason Ford
2026-03-31T15:49:06Z
置信度 0.70
-
Abstract Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor dysfunction and underlying neural rhythm disturbances, making early and objective diagnosis crucial for effective clinical intervention. Electroencephalogram (…
crossref
Rajveer Singh Lalawat, Nikhil Kushwaha, Albert Chih-Chieh Yang
2026-05-25T15:21:07Z
置信度 0.70
-
crossref
Effiong Blessing, Chiung-Yi Tseng, Isaac Nkrumah, Junaid Rehman
2026-06-22T19:52:43Z
置信度 0.70
-
crossref
Elliot Kisiel
2026-02-19T17:21:55Z
置信度 0.70
-
Wearable biological sensing devices promise continuous, low-power monitoring of physiological and biochemical signals. However, these emerging platforms often require increasingly complex signal computation. One common solution is to continuously offload data …
crossref
Joseph Andrews
2026-07-16T07:40:49Z
置信度 0.70