Authors: Mateo Neira, Roberto Murcio
arXiv
Streets networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs where intersections...
Authors: Shana Li, Xiang Xu, Canjun Li, Ziyan Xu, Qiong Ye, Yan Zhang, Chunlei Cang, Jie Wen
arXiv
Mammalian brain is a complex organ that contains billions of neurons. These neurons form various neural circuits that control the perception, cognition, emotion and behavior. Developing in vivo neuron...
Authors: James Orme-Rogers, Ajitesh Srivastava
arXiv
The traditional methods for detecting autism spectrum disorder (ASD) are expensive, subjective, and time-consuming, often taking years for a diagnosis, with many children growing well into adolescence...
Authors: Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tulay Adali
arXiv
Independent component analysis (ICA) of multi-subject functional magnetic resonance imaging (fMRI) data has proven useful in providing a fully multivariate summary that can be used for multiple purpos...
Authors: Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
arXiv
The brain's white matter (WM) undergoes developmental and degenerative processes during the human lifespan. To investigate the relationship between WM anatomical regions and age, we study diffusion ma...
Authors: Zhi-Qi Cheng, Qi Dai, Hong Li, JingKuan Song, Xiao Wu, Alexander G. Hauptmann
arXiv
Previous work generally believes that improving the spatial invariance of convolutional networks is the key to object counting. However, after verifying several mainstream counting networks, we surpri...
Authors: Nadica Miljković, Jaka Sodnik
arXiv
We present a method to automatically calculate time to fixate (TTF) from the eye-tracker data in subjects with neurological impairment using a driving simulator. TTF presents the time interval for a p...
Authors: Louis Rouillard, Thomas Moreau, Demian Wassermann
arXiv
Given some observed data and a probabilistic generative model, Bayesian inference aims at obtaining the distribution of a model's latent parameters that could have yielded the data. This task is chall...
Authors: Derek Hansen, Ismael Mendoza, Runjing Liu, Ziteng Pang, Zhe Zhao, Camille Avestruz, Jeffrey Regier
arXiv
We present a new probabilistic method for detecting, deblending, and cataloging astronomical sources called the Bayesian Light Source Separator (BLISS). BLISS is based on deep generative models, which...
Authors: Jason T. Maddox, Ryan Sides, Jane L. Harvill
arXiv
Maddox, et al. (2022) establish a new win probability estimation for college basketball and compared the results with previous methods of Stern (1994), Desphande and Jensen (2016) and Benz (2019). Thi...
Authors: Gaspar Cano, Rui Dilão
arXiv
We show that the action potential signals generated inside axons are reaction-diffusion solitons or reaction-diffusion waves, refuting the Hodgkin and Huxley hypothesis that action potentials propagat...
Authors: Eduardo Gueron, Jeronimo Pellegrini
arXiv
The invariance of Benford-Newcomb law under base changing is employed to test whether or not some data follow such distribution. Taking into account the Brazilian senate election in 1994, changes in t...
Authors: Lazaros Mitskopoulos, Theoklitos Amvrosiadis, Arno Onken
arXiv
Recordings of complex neural population responses provide a unique opportunity for advancing our understanding of neural information processing at multiple scales and improving performance of brain co...
Authors: Xing Wu, Qiulian Fang
arXiv
Cancer survival prediction is important for developing personalized treatments and inducing disease-causing mechanisms. Multi-omics data integration is attracting widespread interest in cancer researc...
Authors: Kevin J Wilson
arXiv
We consider the design of a two-arm superiority cluster randomised controlled trial (RCT) with a continuous outcome. We detail Bayesian inference for the analysis of the trial using a linear mixed-eff...