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Related papers: Quasistatic approximation in neuromodulation

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Neuronal spiking exhibits an exquisite combination of modulation and robustness properties, rarely matched in artificial systems. We exploit the particular interconnection structure of conductance based models to investigate this remarkable…

Neurons and Cognition · Quantitative Biology 2013-11-12 Guillaume Drion , Alessio Franci , Vincent Seutin , Rodolphe Sepulchre

Deep brain stimulation (DBS) is a surgical treatment for Parkinson's Disease. Static models based on quasi-static approximation are common approaches for DBS modeling. While this simplification has been validated for bioelectric sources,…

Neurons and Cognition · Quantitative Biology 2016-08-18 Pablo A. Alvarado , Mauricio A. Álvarez , Álvaro A. Orozco

In Isliker et al. (2000b), an extended cellular automaton (X-CA) model for solar flares was introduced. In this model, the interpretation of the model's grid-variable is specified, and the magnetic field, the current, and an approximation…

Astrophysics · Physics 2009-11-07 H. Isliker , A. Anastasiadis , L. Vlahos

Coarse-grained models can be of great help to address the problem of structure prediction in nucleic acids. On one hand they can make the prediction more efficient, while on the other hand, they can also help to identify the essential…

Biological Physics · Physics 2020-05-05 Simón Poblete , Sandro Bottaro , Giovanni Bussi

In this paper, we investigate quasinormal modes in holographic QCD models from the perspective of the WKB approximation. We derive the generalized Bohr Sommerfeld quantization rules for quasi-stationary states in holographic QCD models. As…

High Energy Physics - Phenomenology · Physics 2025-05-16 Luiz F. Ferreira , Alfredo Vega

We propose Quantum Enhanced Simulated Annealing (QESA), a novel hybrid optimization framework that integrates quantum annealing (QA) into simulated annealing (SA) to tackle continuous optimization problems. While QA has shown promise in…

Quantum Physics · Physics 2025-04-04 Hristo N. Djidjev

Similarity measures are widely used to interpret the representational geometries used by neural networks to solve tasks. Yet, because existing methods compare the extrinsic geometry of representations in state space, rather than their…

Machine Learning · Computer Science 2026-04-03 N Alex Cayco-Gajic , Arthur Pellegrino

One can think of some physical evolutions as being the emergent-effective result of a microscopic discrete model. Inspired by classical coarse-graining procedures, we provide a simple procedure to coarse-grain color-blind quantum cellular…

Quantum Physics · Physics 2021-04-07 O. Duranthon , Giuseppe Di Molfetta

We show that the quasielastic (QE) response calculated with the SuSAv2 (superscaling approach) model, that relies on the scaling phenomenon observed in the analysis of (e,e') data and on the relativistic mean-field theory, is very similar…

In this work, we propose a geometric framework for analyzing mechanical manipulation, for instance, by a robotic agent. Under the assumption of conservative forces and quasi-static manipulation, we use energy methods to derive a metric. In…

Optimization and Control · Mathematics 2024-02-27 Domenico Campolo , Franco Cardin

The main focus in this paper is exact linesearch methods for minimizing a quadratic function whose Hessian is positive definite. We give a class of limited-memory quasi-Newton Hessian approximations which generate search directions parallel…

Optimization and Control · Mathematics 2023-05-04 David Ek , Anders Forsgren

We investigate the axial electromagnetic quasinormal modes of a static, asymptotically Anti--de Sitter (AdS) black hole sourced by a nonlinear electrodynamics model of Pleba\'{n}ski type. Starting from the master equation governing axial…

General Relativity and Quantum Cosmology · Physics 2025-12-09 Mohsen Fathi , Ariel Guzmán , J. R. Villanueva

A survey on the dynamical and thermodynamical properties of plasmas with strong Coulomb interactions in the quasi-classical density-temperature region is given. First the basic theoretical concepts describing nonideality are discussed. The…

Plasma Physics · Physics 2009-10-31 W. Ebeling , J. Ortner

We consider a qubit initalized in a superposition of its pointer states, exposed to pure dephasing due to coupling to a quasi-static environment, and subjected to a sequence of single-shot measurements projecting it on chosen…

Quantum Physics · Physics 2019-07-15 Fattah Sakuldee , Łukasz Cywiński

Peridynamics is a nonlocal continuum-mechanical theory based on minimal regularity on the deformations. Its key trait is that of replacing local constitutive relations featuring spacial differential operators with integrals over differences…

Analysis of PDEs · Mathematics 2018-05-23 Martin Kružík , Carlos Mora-Corral , Ulisse Stefanelli

Magnetic quasi-particles in hot QCD predict Casimir scaling for the tension $\sigma$ of spatial Wilson loops. Recently this scaling has been verified on the lattice to 1--2% precision. We review how spatial loops tell us about the nature of…

High Energy Physics - Phenomenology · Physics 2007-05-23 C. P. Korthals Altes

A static magnetic quadrupole moment of a nucleus, induced by T- and P-odd nucleon-nucleon interaction, is investigated in the single-particle approximation. Models are considered allowing for analytical solution. The problem is also treated…

Nuclear Theory · Physics 2009-09-25 V. F. Dmitriev , I. B. Khriplovich , V. B. Telitsin

Quasicrystals are characterized by quasi-periodic arrangements of atoms. The description of their mechanics involves deformation and a (so called phason) vector field accounting at macroscopic scale of local phase changes, due to atomic…

Mathematical Physics · Physics 2015-11-23 Luca Bisconti , Paolo Maria Mariano

Several issues in the modal approach to quantum field theory are discussed. Within the formalism of spherical field theory, differential renormalization is presented and shown to result in a finite number of renormalization parameters.…

High Energy Physics - Lattice · Physics 2007-05-23 Nathan Salwen

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that estimates magnetic susceptibility of tissue from Larmor frequency offset measurements. The generation of QSM requires solving a challenging…

Medical Physics · Physics 2020-08-18 Juan Liu , Kevin M. Koch
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