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Over recent decades, neuroimaging tools, particularly electroencephalography (EEG), have revolutionized our understanding of the brain and its functions. EEG is extensively used in traditional brain-computer interface (BCI) systems due to…

Neurons and Cognition · Quantitative Biology 2026-05-12 Zaineb Ajra , Binbin Xu , Gérard Dray , Jacky Montmain , Stéphane Perrey

Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes…

Quantum dot single-photon sources are promising for quantum communication. Yet, the most advanced devices operate near 900 nm, where standard single-mode fibers experience significant losses. We address this by employing a hollow-core fiber…

Next-generation communication networks will likely involve the energy-efficient transfer of information and energy over the same wireless channel, for which the physical layer will become more vulnerable to cyber attacks by potential…

Information Theory · Computer Science 2017-07-12 Ali A. Nasir , Hoang D. Tuan , Trung Q. Duong , H. Vincent Poor

Non-invasive Brain-Computer Interfaces (BCI) offer a safe and accessible means of connecting the human brain to external devices, with broad applications in home and clinical settings to enhance human capabilities. However, the high noise…

Machine Learning · Computer Science 2025-08-06 Jiamin Wu , Zichen Ren , Junyu Wang , Pengyu Zhu , Yonghao Song , Mianxin Liu , Qihao Zheng , Lei Bai , Wanli Ouyang , Chunfeng Song

At nonzero temperatures, superconductors contain excitations known as Bogoliubov quasiparticles. The mesoscopic dynamics of quasiparticles inform the design of quantum information processors, among other devices. Knowledge of these dynamics…

Cognitive beamforming (CB) is a multi-antenna technique for efficient spectrum sharing between primary users (PUs) and secondary users (SUs) in a cognitive radio network. Specifically, a multi-antenna SU transmitter applies CB to suppress…

Information Theory · Computer Science 2010-10-18 Kaibin Huang , Rui Zhang

Coherent quantum state transfer over macroscopic distances between non-neighboring elements in quantum circuits is a crucial component to increase connectivity and simplify quantum information processing. To facilitate such transfers, an…

Mesoscale and Nanoscale Physics · Physics 2025-12-02 Arnob Kumar Ghosh , Rubén Seoane Souto , Vahid Azimi-Mousolou , Annica M. Black-Schaffer , Patric Holmvall

Future wireless networks are expected to connect large-scale low-powered communication devices using the available spectrum resources. Backscatter communications (BC) is an emerging technology towards battery-free transmission in future…

Signal Processing · Electrical Eng. & Systems 2022-08-03 Wali Ullah Khan , Eva Lagunas , Asad Mahmood , Zain Ali , Symeon Chatzinotas , Björn Ottersten , Octavia A. Dobre

Beamforming with a sufficient number of antennas is one of the most significant technologies for both Multi-user (MU) Multiple-input Multiple-output (MIMO) communication and MIMO radar sensing in Integrated Sensing and Communication (ISAC)…

Signal Processing · Electrical Eng. & Systems 2025-10-17 Jiangong Chen , Xia Lei , Yuchen Zhang , Kaitao Meng , Christos Masouros

Integrated sensing and communication (ISAC) is a promising paradigm for future wireless systems due to spectrum reuse, hardware sharing, and joint waveform design. In dynamic scenes, Doppler shifts degrade both sensing and communication,…

Signal Processing · Electrical Eng. & Systems 2025-12-04 Yuan Liu , Wen-Xuan Long , M. R. Bhavani Shankar , Marco Moretti , Rui Chen , Björn Ottersten

Wireless communication has become a standard solution to address ever-increasing demands for information transfer in our modern society. Conventional systems work in an active way in the sense that an active carrier signal is mandatorily…

Applied Physics · Physics 2020-08-26 Hanting Zhao , Ya Shuang , Menglin Wei , Tie Jun Cui , Philipp del Hougne , Lianlin Li

Objective: Numerical modeling of electric fields induced by transcranial alternating current stimulation (tACS) is currently a part of the standard procedure to predict and understand neural response. Quasi-static approximation for electric…

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users.…

Intra-body communication (IBC) is a type of Body Area Network (BAN)that utilizes human body as the medium for data transmission. Thelow power requirements of intra-body communication (IBC) as compared to near field electromagnetic waves…

Emerging Technologies · Computer Science 2012-04-09 Abdullah Alshehab , Chiu Tung Wu , Nao Kobayashi , Sikieng Sok , Shigeru Shimamoto

In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of…

Signal Processing · Electrical Eng. & Systems 2025-03-20 Asif Iftekhar Omi , Anyu Jiang , Baibhab Chatterjee

Planar nanophotonic structures enable broadband, near-unity coupling of emission from quantum dots embedded within, thereby realizing ideal singe-photon sources. The efficiency and coherence of the single-photon source is limited by charge…

We demonstrate that the combination of an external magnetic field and the intrinsic spin-orbit interaction results in nonadiabatic precession of the electron spin after transmission through a quantum point contact (QPC). We suggest that…

Mesoscale and Nanoscale Physics · Physics 2015-06-12 T. Li , O. P. Sushkov

We consider the oblivious transfer (OT) capacities of noisy channels against the passive adversary; this problem has not been solved even for the binary symmetric channel (BSC). In the literature, the general construction of OT has been…

Information Theory · Computer Science 2025-05-01 So Suda , Shun Watanabe

Neurophysiological time series recordings like the electroencephalogram (EEG) or local field potentials are obtained from multiple sensors. They can be decoded by machine learning models in order to estimate the ongoing brain state of a…

Signal Processing · Electrical Eng. & Systems 2023-04-14 Pierre Guetschel , Théodore Papadopoulo , Michael Tangermann
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