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Brain signal variability in the measurements obtained from different subjects during different sessions significantly deteriorates the accuracy of most brain-computer interface (BCI) systems. Moreover these variabilities, also known as…

Machine Learning · Statistics 2013-05-09 Berdakh Abibullaev , Jinung An , Seung-Hyun Lee , Sang-Hyeon Jin , Jeon-Il Moon

We compare the fluctuations in the velocity and in the fraction of time spent at a given position for minimal models of a passive and an active particle: an asymmetric random walker and a run-and-tumble particle in continuous time and on a…

Statistical Mechanics · Physics 2019-10-03 Emil Mallmin , Richard A Blythe , Martin R Evans

Learning and memory relies on synapses changing their strengths in response to neural activity. However there is a substantial gap between the timescales of neural electrical dynamics (1-100 ms) and organism behaviour during learning…

Neurons and Cognition · Quantitative Biology 2023-08-08 Cian O'Donnell

Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners. In this paper, we present a 518 participant study which investigates…

Computation and Language · Computer Science 2021-11-18 Sian Gooding , Yevgeni Berzak , Tony Mak , Matt Sharifi

Emerging evidence shows that the modular organization of the human brain allows for better and efficient cognitive performance. Many of these cognitive functions are very fast and occur in subsecond time scale such as the visual object…

Neurons and Cognition · Quantitative Biology 2018-08-01 J. Rizkallah , P. Benquet , A. Kabbara , O. Dufor , F. Wendling , M. Hassan

In two previous experiments we investigated the neural precursors of subjects' "free" choices for one of two options (pressing one of two buttons, and choosing between adding and subtracting numbers). In these experiments the distribution…

Neurons and Cognition · Quantitative Biology 2013-11-05 Carsten Allefeld , Chun Siong Soon , Carsten Bogler , Jakob Heinzle , John-Dylan Haynes

Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provides a basis for in-depth analyses that offer insight on what…

Human-Computer Interaction · Computer Science 2020-06-30 Daniel Omeiza , Kayode Sakariyah Adewole , Daniel Nkemelu

Brains adapt to the statistical structure of their input. In the visual system, local light intensities change rapidly, the variance of the intensity changes more slowly, and the dynamic range of contrast itself changes more slowly still.…

Neurons and Cognition · Quantitative Biology 2025-09-03 Charles J. Edelson , Sima Setayeshgar , William Bialek , Rob R. de Ruyter van Steveninck

Learning requires the traversal of inherently distinct cognitive states to produce behavioral adaptation. Yet, tools to explicitly measure these states with non-invasive imaging -- and to assess their dynamics during learning -- remain…

We provide the first perceptual quantification of user's sensitivity to radial optic flow artifacts and demonstrate a promising approach for masking this optic flow artifact via blink suppression. Near-eye HMDs allow users to feel immersed…

Human-Computer Interaction · Computer Science 2024-02-14 Mohammad R. Saeedpour-Parizi , Niall L. Williams , Tim Wong , Phillip Guan , Dinesh Manocha , Ian M. Erkelens

Background Seizure severity can change from one seizure to the next within individual people with epilepsy. It is unclear if and how seizure severity is modulated over longer timescales. Characterising seizure severity variability over time…

An analysis of the RR-interval time series, $t_i$, is presented for the case in which the average time, $\bar{t}$, changes slowly. In particular, $\bar{t}$ and a short-time scale variability parameter, $V$, are simultaneously measured while…

Quantitative Methods · Quantitative Biology 2007-05-23 P. B. Siegel , J. Sperber , W. Kindermann , A. Urhausen

This study proposes a real-time system that translates voluntary eye blinks into Morse code, enabling communication for individuals with severe motor impairments. Using a standard webcam and computer vision, the system detects and…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Anushka Bhatt

In this paper, we study the statistical properties of bookmarking behaviors in Delicious.com. We find that the interevent time distributions of bookmarking decays powerlike as interevent time increases at both individual and population…

Physics and Society · Physics 2015-05-20 Peng Wang , Xiao-Yi Xie , Chi Ho Yeung , Bing-Hong Wang

In this paper, we study two large data sets containing the information of two different human behaviors: blog-posting and wiki-revising. In both cases, the interevent time distributions decay as power-laws at both individual and population…

Physics and Society · Physics 2015-05-19 Peng Wang , Ting Lei , Chi Ho Yeung , Bing-hong Wang

Measures of the direction and strength of the interdependence between two time series are evaluated and modified in order to reduce the bias in the estimation of the measures, so that they give zero values when there is no causal effect.…

Data Analysis, Statistics and Probability · Physics 2015-05-27 A. Papana , D. Kugiumtzis , P. G. Larsson

Accurately detecting and identifying drivers' braking intention is the basis of man-machine driving. In this paper, we proposed an electroencephalographic (EEG)-based braking intention measurement strategy. We used the Car Learning to Act…

Human-Computer Interaction · Computer Science 2022-08-29 Xinbin Liang , Yang Yu , Yadong Liu , Kaixuan Liu , Yaru Liu , Zongtan Zhou

Understanding user's perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time variability for ride-hailing services. We carried out a…

The interplay between cognitive and oculomotor processes during reading can be explored when the spatial layout of text deviates from the typical display. In this study, we investigate various eye-movement measures during reading of text…

Neurons and Cognition · Quantitative Biology 2019-11-13 Johan Chandra , Andre Kruegel , Ralf Engbert

During reading, dyslexic readers exhibit more and longer fixations than normal readers. However, there is no significant difference when dyslexic and control readers perform only visual tasks on a string of letters, showing the importance…

Neurons and Cognition · Quantitative Biology 2023-07-31 Albert Le Floch , Guy Ropars