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We propose two general and falsifiable hypotheses about expectations on generalization error when learning in the context of concept drift. One posits that as drift rate increases, the forgetting rate that minimizes generalization error…

Machine Learning · Computer Science 2018-02-06 Nayyar A. Zaidi , Geoffrey I. Webb , Francois Petitjean , Germain Forestier

Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according to the WM process. Here, we identified frequency-specific…

Neurons and Cognition · Quantitative Biology 2022-12-13 Gi-Hwan Shin , Young-Seok Kweon , Heon-Gyu Kwak

Three aspects of time series are uncertainty (dispersion at a given time scale), scaling (time-scale dependence), and intermittency (inclination to change dynamics). Simple measures of dispersion are the mean absolute deviation and the…

Probability · Mathematics 2007-05-23 David R. Bickel

Interactions in nature can be described by their coupling strength, direction of coupling and coupling function. The coupling strength and directionality are relatively well understood and studied, at least for two interacting systems,…

Adaptation and Self-Organizing Systems · Physics 2017-02-09 Tomislav Stankovski

Neuroscientists have recently shown that images that are difficult to find in visual search elicit similar patterns of firing across a population of recorded neurons. The $L^{1}$ distance between firing rate vectors associated with two…

Information Theory · Computer Science 2015-05-12 Nidhin Koshy Vaidhiyan , S. P. Arun , Rajesh Sundaresan

Conceptual design is a cognitively complex task, especially in the engineering design of products having relative motion between components. Designers prefer sketching as a medium for conceptual design and use gestures and annotations to…

Human-Computer Interaction · Computer Science 2025-08-15 G. Kalyan Ramana , Sumit Yempalle , Prasad S. Onkar

Electroencephalography (EEG) signals signals are often used to learn about brain structure and to learn what thinking. EEG signals can be easily affected by external factors. For this reason, they should be applied various pre-process…

Neurons and Cognition · Quantitative Biology 2021-01-26 Enver Kaan Alpturk , Yakup Kutlu

Neuroscientists formulate very different hypotheses about the nature of neural code. At one extreme, it has been argued that neurons encode information in relatively slow changes of individual spikes arriving "rates codes" and the…

Neurons and Cognition · Quantitative Biology 2016-03-10 Agnieszka Pregowska , Janusz Szczepanski , Eligiusz Wajnryb

Many astronomical phenomena, including Fast Radio Bursts and Soft Gamma Repeaters, consist of brief, separated, seemingly aperiodic events. The intervals between these events vary randomly, but there are epochs of greater activity, with…

High Energy Astrophysical Phenomena · Physics 2024-06-06 J. I. Katz

Humans navigate and understand complex visual environments by subconsciously quantifying what they see, a process known as visual enumeration. However, traditional studies using flat screens fail to capture the cognitive dynamics of this…

Human-Computer Interaction · Computer Science 2025-10-08 B. Sankar , Devottama Sen , Dibakar Sen

Tunnel amplitudes of molecular configurations (like neuronal channel pores) may be very sensitive to thermal vibrations of the barrier width (vibration-assisted tunneling) resulting in pseudo-random spikes of widely varying sizes. An…

Quantum Physics · Physics 2007-05-23 L. Polley

Intertemporal decision making involves choices among options whose effects occur at different moments. These choices are influenced not only by the effect of rewards value perception at different moments, but also by the time perception…

General Finance · Quantitative Finance 2011-05-19 Natalia Destefano , Alexandre Souto Martinez

We have monitored the BL Lacertae object S5 0716+714 simultaneously in the B, R and I bands on three nights in November 2014. The average time resolution is quite high (73s, 34s, 58s for the filters B, R and I), which can help us trace the…

Astrophysics of Galaxies · Physics 2016-01-27 Zhongyi Man , Xiaoyuan Zhang , Jianghua Wu , Qirong Yuan

Virtual reality finds various applications in productivity, entertainment, and training scenarios requiring working memory and attentional resources. Working memory relies on prioritizing relevant information and suppressing irrelevant…

Human-Computer Interaction · Computer Science 2024-12-31 Francesco Chiossi , Changkun Ou , Carolina Gerhardt , Felix Putze , Sven Mayer

Background: Given that VR is applied in multiple domains, understanding the effects of cyber-sickness on human cognition and motor skills and the factors contributing to cybersickness gains urgency. This study aimed to explore the…

Human-Computer Interaction · Computer Science 2024-02-05 Panagiotis Kourtesis , Agapi Papadopoulou , Petros Roussos

It is demonstrated that in low multiplicity sample, the increase of the fluctuation of event-factorial-moments with the diminishing of phase space scale, called ``erraticity'', are dominated by the statistical fluctuations. The erraticity…

High Energy Physics - Phenomenology · Physics 2007-05-23 Fu Jinghua , Wu Yuanfang , Liu Lianshou

Various classes of neurons alternate between high-frequency discharges and silent intervals. This phenomenon is called burst firing. To analyze burst activity in an insect system, grasshopper auditory receptor neurons were recorded in vivo…

Neurons and Cognition · Quantitative Biology 2008-07-17 Hugo G. Eyherabide , Ariel Rokem , Andreas V. M. Herz , Ines Samengo

Selective exposure to online news occurs when users favor information that confirms their beliefs, creating filter bubbles and limiting diverse perspectives. Interactive systems can counter this by recommending different perspectives, but…

Human-Computer Interaction · Computer Science 2026-01-06 Thomas Krämer , Daniel Hienert , Francesco Chiossi , Thomas Kosch , Dagmar Kern

Gaze may enhance the robustness of lie detectors but remains under-studied. This study evaluated the efficacy of AI models (using fixations, saccades, blinks, and pupil size) for detecting deception in Concealed Information Tests across two…

Human-Computer Interaction · Computer Science 2025-05-06 Valentin Foucher , Santiago de Leon-Martinez , Robert Moro

We study time series produced by the blinking quantum dots, by means of an aging experiment, and we examine the results of this experiment in the light of two distinct approaches to complexity, renewal and slow modulation. We find that the…

Statistical Mechanics · Physics 2016-08-31 Simone Bianco , Paolo Grigolini , Paolo Paradisi
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