-
crossref
2026-04-07T21:14:19Z
置信度 0.70
-
crossref
2026-04-07T21:14:19Z
置信度 0.70
-
crossref
2024-11-26T02:06:27Z
置信度 0.70
-
Abstract Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing the dynamics of biological neural systems in real-time with bio-physically realistic dynamics. However, similar to their biological counterparts, these circuit…
crossref
Silvio P. Sabatini, Valentina Baruzzi, Giacomo Indiveri
2023-10-11T05:50:13Z
置信度 0.70
-
Abstract This study investigates the implementation and future potential of neural networks for socio-labor regulation within the urban economies of BRICS megacities, emphasizing a human-centric AI approach. Analysis reveals significant disparities in AI devel…
crossref
Irina Karabulatova, Olga Ergunova, Andrey Somov
2025-05-23T03:06:29Z
置信度 0.70
-
crossref
2024-11-26T02:06:27Z
置信度 0.70
-
Abstract Background: Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This has aroused interest in investigating their potential as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. The demand…
preprints
Karla Burelo, Georgia Ramantani, Giacomo Indiveri, Johannes Sarnthein
2021
置信度 0.74
-
Abstract Flexible tactile sensors have emerged as vital transduction interfaces for human–machine symbiosis and soft robotics. Despite significant advances, two persistent bottlenecks have hindered their practical viability. At the material level, the intrinsi…
crossref
Jun Li, Yongcheng Ji, Lipan Xin, Linan Li 等
2026-06-24T22:56:10Z
置信度 0.70
-
crossref
Taro Toyoizumi, Qianyuan Tang
2021-10-13T14:29:02Z
置信度 0.70
-
Abstract Electrolyte‐gated transistors have strong potential for high‐performance artificial synapses in neuromorphic bio‐interfaces owing to their outstanding synaptic characteristics, low power consumption, and human‐like mechanisms. However, the short reten…
crossref
Dong‐Gyu Jin, Hyun‐Yong Yu
2023-12-15T18:46:02Z
置信度 0.70
-
Digital approaches to brain-inspired computing have advanced apace over recent years - where is the state-of-the-art and what does the future hold?
crossref
Steve Furber
2023-11-08T01:44:40Z
置信度 0.70
-
crossref
Jiaqi Lin, Malyaban Bal, Abhronil Sengupta
2024-12-02T18:37:03Z
置信度 0.70
-
Abstract Neuromorphic architectures, expanding the limits of computing from conventional data processing and storage to advanced cognition, learning, and in-memory computing, impose restrictions on materials that should operate fast, energy efficiently, and hi…
crossref
Semyon V. Bachinin, Alexandr Marunchenko, Ivan Matchenya, Nikolai Zhestkij 等
2024-07-20T18:01:43Z
置信度 0.70
-
Abstract The learning accuracy of neuromorphic computing that mimics the biological brain, is affected by the conductance‐modulation characteristics of an artificial synapse. In ferroelectric‐based devices, these characteristics are implemented using a distrib…
crossref
Cheol Jun Kim, Jae Yeob Lee, Minkyung Ku, Tae Hoon Kim 等
2023-12-27T16:16:53Z
置信度 0.70
-
Abstract High‐temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this need, researchers are developing technologies that imitate the human brain in structure and function…
crossref
Pukhraj Prajapat, Pargam Vashishtha, Govind Gupta
2025-06-26T03:51:18Z
置信度 0.70
-
Abstract Artificial intelligence (AI) is set to disrupt the way businesses and civil society operate, but the large energy usage for training and running AI compute models remains a pressing concern in terms of its sustainability. Analog in-memory computing (A…
crossref
Mattias Borg, Christos Papadopoulos, Alec Guerin, Robin Athle 等
2025-04-25T22:50:17Z
置信度 0.70
-
crossref
Tianci Huang, Zuqing Yuan
2024-09-09T17:02:49Z
置信度 0.70
-
Abstract Field effect transistors based on 2D layered material have gained significant potential in emerging technologies, such as neuromorphic computing and ultrafast memory response for artificial intelligence applications. This study proposes a facile appro…
crossref
Muhammad Asghar Khan, Muhammad Farooq Khan, Muhammad Nasim, Ehsan Elahi 等
2024-10-15T06:58:46Z
置信度 0.70
-
Abstract Simulating brain-scale networks digitally is often hindered by extensive memory access. In this context, using low-precision data types and more efficient models to represent state variables is a viable alternative to improve the scalability of the ne…
crossref
Pablo Urbizagastegui, André van Schaik, Runchun Wang
2025-09-02T22:50:59Z
置信度 0.70
-
crossref
Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu
2024-03-25T19:06:53Z
置信度 0.70
-
crossref
G. William Chapman, Andrew S. Alexander, Frances S. Chance, Michael E. Hasselmo
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Kendric Hood, Ang Li, Qiang Guan
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Vansh Jalora, Prem Joshi, Lakshin Pathak, Karm Vyas 等
2026-01-13T20:55:33Z
置信度 0.70
-
crossref
Andrea Marchisio, Lorenzo Tunesi, Hasan Awad, Enrico Ghillino 等
2025-03-22T04:15:48Z
置信度 0.70
-
crossref
Jack Hutchins, Diego Ferrer, James Fillers, Catherine Schuman
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Sathish Krishna Anumula
2025-04-23T07:06:11Z
置信度 0.70
-
crossref
Kannekanti Maanasa, Jagendra Singh, Hardeo Kumar Thakur, Rakesh Kumar 等
2025-06-21T18:39:03Z
置信度 0.70
-
crossref
Junghoon Chae, Seung-Hwan Lim, Shruti Kulkarni, Catherine Schuman
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Hagar Hendy, Elaine Greenfield, Huayuan Han, Jacob O’Donnell 等
2025-09-30T17:37:09Z
置信度 0.70
-
crossref
Vedant Sawal, Hiu Yung Wong
2024-06-17T17:59:04Z
置信度 0.70
-
crossref
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef
2024-09-09T17:35:05Z
置信度 0.70
-
crossref
Ajay B S, Madhav Rao, Phani Pavan K
2024-07-02T17:22:52Z
置信度 0.70
-
crossref
Bruno Ehrler
2024-12-02T12:32:32Z
置信度 0.70
-
crossref
Amélie Gruel, Adrien F. Vincent, Jean Martinet, Sylvain Saïghi
2024-07-19T17:30:48Z
置信度 0.70
-
crossref
Gorka Abad, Oğuzhan Ersoy, Stjepan Picek, Aitor Urbieta
2024-02-10T16:35:08Z
置信度 0.70
-
crossref
Fatemeh Shirinzadeh, Abhoy Kole, Kamalika Datta, Saeideh Shirinzadeh 等
2025-12-09T18:31:56Z
置信度 0.70
-
In the background of the shortage of computing power in the training AI field, the current solutions and future outlooks will be shown if they tackle this dilemma. From the continuation of the traditional computer structure, Von Neumann structure, the three ty…
crossref
Jingwei Qu
2024-07-25T04:25:39Z
置信度 0.70
-
crossref
Yi Jiang, Sen Lu, Abhronil Sengupta
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Erik B. Terres-Escudero, Javier Del Ser, Pablo García Bringas
2026-05-06T16:37:29Z
置信度 0.70
-
crossref
Xiaozhe Cheng, Zhitao Qin, Hongen Guo, Zhitao Dou 等
2024-05-22T10:54:17Z
置信度 0.70
-
Abstract Solid electrolyte-gated transistors exhibit improved chemical stability and can fulfill the requirements of microelectronic packaging. Typically, metal oxide semiconductors are employed as channel materials. However, the extrinsic electron transport p…
crossref
Shangheng Sun, Minghao Zhang, Jing Bian, Ting Xu 等
2024-06-11T22:22:00Z
置信度 0.70
-
The recent surge in data generated by emerging applications has exposed intrinsic bottlenecks in conventional von Neumann architectures, where physically separated processing and memory units limit bandwidth and energy efficiency. Neuromorphic computing offers…
crossref
Minsu Nam, Hyun Yeop Cho, Seong Eun Lee, Jung Ho Yoon
2026-02-02T12:59:48Z
置信度 0.70
-
crossref
Alexandr Marunchenko, Jitendra Kumar, Alexander Kiligaridis, Dmitry Tatarinov 等
2024-04-09T16:28:26Z
置信度 0.70
-
Machine learning has had an impact in the area of microchip design and was initially used in automation. This development could result in a tremendous change in the realm of hardware computation and AI's powerful analysis tools. Traffic is a pressing issue in …
crossref
Jagrat Shukla, Numburi Rishikha, Janhavi Chaturvedi, Sumathi Gokulanathan 等
2023-07-19T08:20:15Z
置信度 0.70
-
crossref
Dimitris Alexandropoulos, Panagiotis Georgiou, Christos Tselios, Georgia Himona 等
2025-09-18T18:27:24Z
置信度 0.70
-
Spike-timing mechanisms in neuromorphic vision sensors represent a cutting-edge approach to mimicking biological vision systems' efficiency and adaptability. These systems utilize memristor-based non-volatile memory devices to achieve high precision and low po…
crossref
Yiping Su, Dajeong Hwang, Bing Wang
2024-07-26T09:09:40Z
置信度 0.70
-
crossref
Shimpei Harada, Junya Hara, Hiroshi Higashi, Yuichi Tanaka
2024-11-12T18:35:35Z
置信度 0.70
-
Abstract Exploring nonlinear chemical dynamic systems for information processing has emerged as a frontier in chemical and computational research, seeking to replicate the brain’s neuromorphic and dynamic functionalities. In this study, we have extensively exp…
crossref
Zheyang Li, Xi Yu
2024-06-06T22:24:46Z
置信度 0.70
-
crossref
Tao Xue, Sheng Qin, Qiang Fu
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Han Yu, Song Zhu
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Yuhua Gao, Cheng Hu, Juan Yu, Kailong Xiong
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Wilkie Olin-Ammentorp
2023-08-28T16:00:57Z
置信度 0.70
-
crossref
George Brayshaw, Benjamin Ward-Cherrier, Martin J. Pearson
2024-08-08T17:51:05Z
置信度 0.70
-
The ability of mechanical systems to perform basic computations has gained traction over recent years, providing an unconventional alternative to digital computing in off grid, low power, and severe environments, which render the majority of electronic compone…
crossref
M. Moghaddaszadeh, M. Mousa, A. Aref, M. Nouh
2024-05-15T14:45:02Z
置信度 0.70
-
crossref
Michelangelo Barocci, Vittorio Fra, Enrico Macii, Gianvito Urgese
2026-05-06T16:33:49Z
置信度 0.70
-
crossref
Jan Moritz Joseph, Jörn Nöller, José Cubero-Cascante, Rebecca Pelke
2024-11-12T18:37:23Z
置信度 0.70
-
crossref
Donghwa Lee, Landep Ayuningtias, Jinwoo Hwang, Junho Sung 等
2024-05-14T09:14:44Z
置信度 0.70
-
The possibility to use ferroelastic materials as components of neuromorphic devices is discussed. They can be used as local memristors with the advantage that ionic transport is constraint to twin boundaries where ionic diffusion is much faster than in the bul…
crossref
Guangming Lu, Ekhard K. H. Salje
2024-08-14T04:47:25Z
置信度 0.70
-
Abstract Manipulating the expression of synaptic plasticity of neuromorphic devices provides fascinating opportunities to develop hardware platforms for artificial intelligence. However, great efforts have been devoted to exploring biomimetic mechanisms of pla…
crossref
Yilin Sun, Huaipeng Wang, Dan Xie
2024-06-06T04:02:38Z
置信度 0.70
-
crossref
Zhi-Long Chen, Yang Xiao, Yang-Fan Zheng, Yan-Ping Jiang 等
2024-05-27T22:29:21Z
置信度 0.70
-
crossref
Can Fu, Zhi-Yuan Li, Yu-Jiao Li, Min-Min Zhu 等
2024-03-09T03:38:15Z
置信度 0.70
-
The proton-electron coupling effect induces rich spectrums of electronic states in correlated oxides, opening tempting opportunities for exploring novel devices with multifunctions. Here, via modest Pt-aided hydrogen spillover at room temperature, amounts of p…
crossref
Xing Deng, Yu-Xiang Liu, Zhen-Zhong Yang, Yi-Feng Zhao 等
2024-05-31T13:58:33Z
置信度 0.70
-
Purpose The purpose of this paper is to provide details of biomimetic and neuromorphic sensor research and developments and discuss their applications in robotics. Design/methodology/approach Following a short introduction, this first provides examples of rece…
crossref
Rob Bogue
2024-06-19T01:31:10Z
置信度 0.70
-
Multiferroic materials have important research significance in the fields of magnetic random-access memory, ferroelectric random-access memory, resistive random-access memory, and neuromorphic computing devices due to their excellent and diverse physical prope…
crossref
Dong-Liang Li, Wen-Min Zhong, Xin-Gui Tang, Qin-yu He 等
2024-06-17T05:48:29Z
置信度 0.70
-
This review explores various mechanisms enabling threshold switching in volatile memristors and introduces recent progress in the implementation of neuromorphic computing systems based on these mechanisms.
crossref
Taehwan Moon, Keunho Soh, Jong Sung Kim, Ji Eun Kim 等
2024-08-19T20:41:00Z
置信度 0.70
-
crossref
Rabiul Islam, Yu Shi, Gabriel Vinicius de Oliveira Silva, Manoj Sachdev 等
2024-08-07T14:27:02Z
置信度 0.70
-
crossref
Minseo Noh, Yongjin Byun, Gimun Kim, Junhyeok Park 等
2025-08-26T17:13:41Z
置信度 0.70
-
A long-standing research goal is to develop computing technologies that mimic the brain’s capabilities by implementing computation in electronic systems directly inspired by its structure, function, and operational mechanisms, using low-power, spike-based neur…
crossref
Ryoga Matsuo, Ahmed Elgaradiny, Federico Corradi
2024-08-13T06:02:37Z
置信度 0.70
-
crossref
Hiruna Vishwamith, Murat Isik, I. Can Dikmen
2024-07-30T13:48:20Z
置信度 0.70
-
crossref
Shuo Lian, Jun Wang, Min Han, Jianchao Fan
2025-05-19T17:52:05Z
置信度 0.70
-
Abstract Because of wide range of applications, the flexible artificial synapse is an indispensable part for next-generation neural morphology computing. In this work, we demonstrate a flexible synaptic device based on a lift-off (In,Ga)N thin film successfull…
crossref
Qianyi Zhang, Binbin Hou, Jianya Zhang, Xiushuo Gu 等
2024-03-18T10:55:45Z
置信度 0.70
-
Abstract A novel organic neuromorphic device performing pattern classification is presented and demonstrated. It features an artificial soma capable of dendritic integration from three pre-synaptic neurons. The time-response of the interface between electrolyt…
crossref
Michele Di Lauro, Federico Rondelli, Anna De Salvo, Alessandro Corsini 等
2024-04-04T22:26:06Z
置信度 0.70
-
Abstract Polymer memristors represent a highly promising avenue for the advancement of next‐generation computing systems. However, the intrinsic structural heterogeneity characteristic of most polymers often results in organic polymer memristors displaying err…
crossref
Jinyong Li, Fei Fan, Xin Fu, Mingxing Liu 等
2024-04-17T05:30:02Z
置信度 0.70
-
Neuromorphic computing is considered to have the potential to overcome the limitations of traditional von Neumann architecture due to its high efficiency, low energy consumption, and fault-tolerance. Hardware components that can emulate the synaptic plasticity…
crossref
Zoe Templin, Feng Zhao
2024-08-19T15:51:35Z
置信度 0.70
-
Abstract Artificial synapse devices are essential elements for highly energy‐efficient neuromorphic computing. They are implemented as crossbar array architecture, where highly selective synaptic weight updates for training and sneak leakage‐free inference ope…
crossref
Peter Hayoung Chung, Jiyeon Ryu, Daejae Seo, Dwipak Prasad Sahu 等
2024-07-31T04:28:12Z
置信度 0.70
-
Abstract Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neura…
europepmc
Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz 等
2024
置信度 0.80
-
crossref
shuai wang, Dehao Zhang, Ammar Belatreche, Yichen Xiao 等
2024-06-05T03:20:41Z
置信度 0.70
-
crossref
Viacheslav Antsiperov
2025-04-06T07:23:13Z
置信度 0.70
-
crossref
Twisha Titirsha, Md Maruf Hossain Shuvo, Syed Kamrul Islam
2024-09-25T17:27:50Z
置信度 0.70
-
crossref
Mani Shankar Yadav, Brajesh Rawat
2024-10-31T13:33:03Z
置信度 0.70
-
crossref
Thomas M. Summe, Clemens JS Schaefer, Siddharth Joshi
2024-12-02T18:37:03Z
置信度 0.70
-
Abstract Neuromorphic computing is a low-power and energy efficient alternative to von Neumann computing that demands new materials and computing architectures. Two-dimensional (2D) van der Waals materials and ions are a particularly favorable pair for neuromo…
crossref
Ke Xu, Susan K Fullerton-Shirey
2025-02-21T05:48:16Z
置信度 0.70
-
crossref
Parnab Das, Santanu Mandal, Mousami Sanyal, Soumyadip Chowdhuri
2025-02-13T18:32:24Z
置信度 0.70
-
crossref
Ben Walters, Michael S.A. Kamel, Mohan V. Jacob, Mostafa Rahimi Azghadi
2024-10-09T20:29:36Z
置信度 0.70
-
crossref
Jakub Dranczewski, Wai Kit Ng, Anna Fischer, Dhruv Saxena 等
2024-10-02T18:26:31Z
置信度 0.70
-
Abstract We consider the problem of computing a sparse binary representation of an image. Given an image and an overcomplete, non-orthonormal basis, we aim to find a sparse binary vector indicating the minimal set of basis vectors that when added together best…
crossref
Kyle Henke, Elijah Pelofske, Garrett Kenyon, Georg Hahn
2025-06-04T04:43:01Z
置信度 0.70
-
crossref
Ryan O'Loughlin, Bryce Primavera, Jeffrey Shainline
2024-12-02T18:37:03Z
置信度 0.70
-
crossref
Chitaranjan Mahapatra, Ashish Kumar Pradhan
2026-03-06T20:58:41Z
置信度 0.70
-
crossref
M. Julie Therese, Jossan Eleazar B, Tejendra Dixit
2026-02-24T20:55:40Z
置信度 0.70
-
crossref
Chihiro Matsui, Kasidit Toprasertpong, Shinichi Takagi, Ken Takeuchi
2023-12-06T19:27:09Z
置信度 0.70
-
This study aims to develop a fault-tolerant neuromorphic computing system for tsunami early detection in Indonesia’s small islands, which face significant limitations in energy and network infrastructure. The research was conducted over a three-month period (J…
crossref
Jayaun Jayaun
2026-08-06T05:44:05Z
置信度 0.70
-
Abstract The brain orchestrates complex physiological processes through intricate neural networks, with synapses serving as the fundamental units for inter‐neuronal communication and ensuring the efficient functioning of these networks. Consequently, the devel…
crossref
Weiwei Li, Chunbo Duan, Ying Wei, Hui Xu
2025-09-24T03:40:41Z
置信度 0.70
-
crossref
Anatole Moureaux, Anthony Lopes Temporao, Lindiomar Borges de Avila, Flavio Abreu Araujo
2025-09-18T18:28:59Z
置信度 0.70
-
crossref
Riccardo Colella, Alberto Arciello, Giuseppe Grassi, Massimo Merenda
2025-04-22T17:37:25Z
置信度 0.70
-
crossref
2024-01-02T21:15:07Z
置信度 0.70
-
crossref
Ananna Biswas, Md Akhtaruzzaman, Hongyu An
2025-05-30T17:43:30Z
置信度 0.70
-
crossref
Yujie Ma, Cheng Hu
2025-05-19T17:52:05Z
置信度 0.70
-
crossref
2025-11-09T21:09:31Z
置信度 0.70
-
crossref
Laxmi R. Iyer, Ali A. Minai
2025-11-14T18:46:15Z
置信度 0.70
-
crossref
Yoeri Van De Burgt
2025-06-30T17:36:02Z
置信度 0.70