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This correspondence comments on the findings reported in a recent Science Robotics article by Mitrokhin et al. [1]. The main goal of this commentary is to expand on some of the issues touched on in that article. Our experience is that…

Robotics · Computer Science 2020-03-26 Denis Kleyko , Ross W. Gayler , Evgeny Osipov

Modern scientific simulations, observations, and large-scale experiments generate data at volumes that often exceed the limits of storage, processing, and analysis. This challenge drives the development of data reduction methods that…

Machine Learning · Computer Science 2025-11-18 Minh Vu , Andrey Lokhov

{G}{ustav} Fechner's 1860 delineation of psychophysics, the measurement of sensation in relation to its stimulus, is widely considered to be the advent of modern psychological science. In psychophysics, a researcher parametrically varies…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Justin Dulay , Sonia Poltoratski , Till S. Hartmann , Samuel E. Anthony , Walter J. Scheirer

Recent work suggests that representations learned by adversarially robust networks are more human perceptually-aligned than non-robust networks via image manipulations. Despite appearing closer to human visual perception, it is unclear if…

Computer Vision and Pattern Recognition · Computer Science 2022-02-07 Anne Harrington , Arturo Deza

This philosophical paper proposes a modified version of the scientific method, in which large databases are used instead of experimental observations as the necessary empirical ingredient. This change in the source of the empirical data…

Computer Vision and Pattern Recognition · Computer Science 2010-05-31 Daniel Burfoot

The study of transcription remains one of the centerpieces of modern biology with implications in settings from development to metabolism to evolution to disease. Precision measurements using a host of different techniques including…

Subcellular Processes · Quantitative Biology 2021-06-09 Muir J. Morrison , Manuel Razo-Mejia , Rob Phillips

Simulation of human motion is the subject of study in a number of disciplines: Biomechanics, Robotics, Computer Animation, Control Theory, Neurophysiology, Medicine, Ergonomics. Since the author has never visited any of these fields, this…

Graphics · Computer Science 2011-02-26 A. I. Zhmakin

Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions. However, integrating spatial constraints, such as pre-defined motion trajectories and obstacles, remains a challenge…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Korrawe Karunratanakul , Konpat Preechakul , Supasorn Suwajanakorn , Siyu Tang

Contrast Sensitivity of the human visual system can be explained from certain low-level vision tasks (like retinal noise and optical blur removal), but not from others (like chromatic adaptation or pure reconstruction after simple…

Computer Vision and Pattern Recognition · Computer Science 2022-02-17 Jesus Malo

Sensory systems use limited resources to mediate the perception of a great variety of objects and events. Here a normative framework is presented for exploring how the problem of efficient allocation of resources can be solved in visual…

Computer Vision and Pattern Recognition · Computer Science 2014-05-06 Sergei Gepshtein , Ivan Tyukin

We present a strategy capable of describing basic features of the dynamics of crowds. The behaviour of the crowd is considered from a twofold perspective. We examine both the large scale behaviour of the crowd, and phenomena happening at…

Mathematical Physics · Physics 2011-08-09 Joep Evers

In this paper we propose a new approach for sampling from probability measures in, possibly, high dimensional spaces. By perturbing the standard overdamped Langevin dynamics by a suitable Stratonovich perturbation that preserves the…

Numerical Analysis · Mathematics 2019-04-23 Assyr Abdulle , Grigorios A. Pavliotis , Gilles Vilmart

This note complements the paper "The quest for optimal sampling: Computationally efficient, structure-exploiting measurements for compressed sensing" [2]. Its purpose is to present a proof of a result stated therein concerning the recovery…

Functional Analysis · Mathematics 2014-06-17 Ben Adcock , Anders C. Hansen , Bogdan Roman

It is shown both from a qualitative and quantitative analysis that the T-dependence of the pure susceptibility detected by Tallon et al. in overdoped compounds cannot explain the T-dependence of the Li NMR shift. This confirms that the…

Superconductivity · Physics 2007-05-23 J. Bobroff , W. A. MacFarlane , H. Alloul , P. Mendels

This paper is the final part of the scientific discussion organised by the Journal "Physics of Life Rviews" about the simplicity revolution in neuroscience and AI. This discussion was initiated by the review paper "The unreasonable…

Neurons and Cognition · Quantitative Biology 2019-07-01 Alexander N. Gorban , Valeri A. Makarov , Ivan Y. Tyukin

In this work we investigate the behaviour of a human crowd in a cross-flow. We first analyse the results of a set of controlled experiments in which subjects were divided into two groups, in such a way to explore different density settings,…

Physics and Society · Physics 2022-03-30 Francesco Zanlungo , Claudio Feliciani , Zeynep Yücel , Katsuhiro Nishinari , Takayuki Kanda

Acute psychological stress occurs in a wide range of everyday contexts, including transportation, occupational settings, and physical activity, where its reliable detection could enable adaptive system responses and support human…

Human-Computer Interaction · Computer Science 2026-05-18 Esther Bosch

The ability to discriminate similar visual stimuli is an important index of memory function. This ability is widely thought to be supported by expanding the dimensionality of relevant neural codes, such that neural representations for…

Neurons and Cognition · Quantitative Biology 2025-10-14 Dale Zhou , Sharon Mina Noh , Nora C Harhen , Nidhi V Banavar , C. Brock Kirwan , Michael A Yassa , Aaron M Bornstein

With resurgent interest in individual differences in perception, cognition and behavioural control, as early indicators of disease, endophenotypes, or a means to relate brain structure to function, behavioural tasks are increasingly being…

Neurons and Cognition · Quantitative Biology 2013-09-16 Frederic Boy , Petroc Sumner

Could simple organisms such as slime mould approximate LI without recourse to neural tissue? We describe a model whereby LI can emerge without explicit inhibitory wiring, using only bulk transport effects. We use a multi-agent model of…

Emerging Technologies · Computer Science 2015-11-19 Jeff Jones
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