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This paper presents results about fabrication and operation of electrostatic actuators in liquids with various permittivities. In the static mode, we provide experimental and theoretical demonstration that the pull-in effect can be shifted…

Other Computer Science · Computer Science 2007-11-29 A. -S. Rollier , M. Faucher , B. Legrand , D. Collard , L. Buchaillot

We present a novel Active Magnetic Shield (AMS), designed and implemented for the n2EDM experiment at the Paul Scherrer Institute. The experiment will perform a high-sensitivity search for the electric dipole moment of the neutron.…

Background and Objective: Transcranial temporal interference stimulation (tTIS) is a promising non-invasive brain stimulation technique in which interference between electrical current fields extends the possibilities of electrical brain…

Numerical Analysis · Mathematics 2026-02-05 Santtu Söderholm , Maryam Samavaki , Sampsa Pursiainen

We present a non-standard Hubbard model applicable to arbitrary single-particle potential profiles and inter-particle interactions. Our approach involves a novel treatment of Wannier functions, free from the ambiguities of conventional…

Strongly Correlated Electrons · Physics 2024-05-14 M. Zendra , F. Borgonovi , G. L. Celardo , S. Gurvitz

The result of computational operations performed at the single cell level are coded into sequences of action potentials (APs). In the cerebral cortex, due to its columnar organization, large number of neurons are involved in any individual…

Neurons and Cognition · Quantitative Biology 2007-05-23 B. Naundorf , T. Geisel , F. Wolf

We report the first experimental realization of ultracold atoms confined in a time-averaged, adiabatic potential (TAAP). This novel trapping technique involves using a slowly oscillating ($\sim$ kHz) bias field to time-average the…

Quantum Gases · Physics 2011-10-17 M. Gildemeister , E. Nugent , B. E. Sherlock , M. Kubasik , B. T. Sheard , C. J. Foot

The study involved 56 patients with advanced and late stages of Parkinsons disease, which could be considered as potentially requiring neurosurgical treatment-electrical stimulation of deep brain structures. An algorithm has been developed…

Neurons and Cognition · Quantitative Biology 2021-11-10 Elcin Huseyn

Individuals with diverse motor abilities often benefit from intensive and specialized rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the challenge lies in the restricted availability of…

Neural stimulation represents a powerful technique for neural disorder treatment. This paper deals with optimization of coil design parameters to be used during stimulation for modulation of neuronal firing to achieve pain relief. Pain…

Neurons and Cognition · Quantitative Biology 2016-09-14 Raunaq Pradhan , Yuanjin Zheng

Chronic pain affects about 100 million adults in the US. Despite their great need, neuropharmacology and neurostimulation therapies for chronic pain have been associated with suboptimal efficacy and limited long-term success, as their…

Neurons and Cognition · Quantitative Biology 2024-05-03 Pierre Sacré , Sridevi V. Sarma , Yun Guan , William S. Anderson

We propose and numerically investigate a scalable ring trap for cold atoms that surmounts problems of roughness of the potential and end--effects of trap wires. A stable trapping potential is formed about an electrically isolated,…

Atomic Physics · Physics 2009-11-13 P. F. Griffin , E. Riis , A. S. Arnold

Transcranial magnetic stimulation (TMS) is a popular method for the noninvasive stimulation of neurons in the brain. It has become a standard instrument in experimental brain research and is approved for a range of diagnostic and…

Medical Physics · Physics 2023-12-27 Max Koehler , Stefan Goetz

Although extensive research in emergency collision avoidance has been carried out for straight or curved roads in a highway scenario, a general method that could be implemented for all road environments has not been thoroughly explored.…

Robotics · Computer Science 2023-02-10 Xu Shang , Azim Eskandarian

Heat-bath algorithmic cooling (AC) of spins is a theoretically powerful effective cooling approach, that (ideally) cools spins with low polarization exponentially better than cooling by reversible entropy manipulations alone. Here, we…

Quantum Physics · Physics 2014-04-29 Gilles Brassard , Yuval Elias , Tal Mor , Yossi Weinstein

Endovascular technique has many advantages but relies strongly on operator skills and experience. Robotically steerable catheters have been developed but few are clinically available. We describe here the development of an active and…

Medical Physics · Physics 2019-06-05 Thibault Couture , Jérome Szewczyk

All-optical neural networks (AONNs) promise transformative gains in speed and energy efficiency for artificial intelligence (AI) by leveraging the intrinsic parallelism and wave nature of light. However, their scalability has been…

Optics · Physics 2025-12-09 Ruben Canora , Xinzhe Xu , Ziqi Niu , Hadiseh Alaeian , Shengwang Du

Spintronic devices have been widely studied for the hardware realization of artificial neurons. The stochastic switching of magnetic tunnel junction driven by the spin torque is commonly used to produce the sigmoid activation function.…

Emerging Technologies · Computer Science 2022-11-28 Yue Xin , Kang Zhou , Xuanyao Fong , Yumeng Yang , Shenghua Gao , Zhifeng Zhu

We analytically explore the dynamics of a charged active particle coupled to two thermal baths kept at two different temperatures in two dimensions. The particle is confined to an asymmetric harmonic potential and a magnetic field of…

Soft Condensed Matter · Physics 2024-11-07 M Muhsin , F Adersh , Mamata Sahoo

Robotic assistance allows surgeons to perform dexterous and tremor-free procedures, but robotic aid is still underrepresented in procedures with constrained workspaces, such as deep brain neurosurgery and endonasal surgery. In these…

Robotics · Computer Science 2022-06-03 Murilo M. Marinho , Bruno V. Adorno , Kanako Harada , Mamoru Mitsuishi

Decoding motor performance from brain signals offers promising avenues for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). In a two-center cohort of 19 PD patients executing a drawing task, we decoded motor performance…