Authors: Zeb Kurth-Nelson, Timothy Behrens, Greg Wayne, Kevin Miller, Lennart Luettgau, Ray Dolan, Yunzhe Liu, Philipp Schwartenbeck
arXiv
Replay in the brain has been viewed as rehearsal, or, more recently, as sampling from a transition model. Here, we propose a new hypothesis: that replay is able to implement a form of compositional co...
Authors: Sudeep R. Bapat, Sreeranjini T. M.
arXiv
Due to the outbreak of COVID-19, the last couple of years have been drastic in terms of human behavioral patterns. People were forced to stay at home for a very long duration because of the strict loc...
Authors: Md. Mohaimenul Islam Sourav, Mohammed Russedul Islam, H M Imran Kays, Md. Hadiuzzaman
arXiv
This research aims at building a multivariate statistical model for assessing users' perceptions of acceptance of ride-sharing services in Dhaka City. A structured questionnaire is developed based on...
Authors: Ardavan S. Nobandegani, Thomas R. Shultz, Irina Rish
arXiv
To achieve desirable performance, current AI systems often require huge amounts of training data. This is especially problematic in domains where collecting data is both expensive and time-consuming,...
Authors: Sat byul Seo, Jianzhong Su
arXiv
A synapse acts on neural transmission through a chemical process called synapses fusion between pre-synaptic and post-synaptic terminals. Presynaptic terminals release neurotransmitters either in resp...
Authors: Simona Korenjak-Černe, Nataša Kejžar
arXiv
The study of mortality patterns is a popular research topic in many areas. We are particularly interested in mortality patterns among main causes of death associated with age-gender combinations. We u...
Authors: Zachary R Fox
arXiv
Gene expression is a stochastic process in which cells produce biomolecules essential to the function of life. Modern experimental methods allow for the measurement of biomolecules at single-cell and...
Authors: Martin Roessler, Claudia Schulte, Uwe Repschläger, Dagmar Hertle, Danny Wende
arXiv
Background: Quality indicators are frequently used to assess the performance of healthcare providers, in particular hospitals. Established approaches to the design of such indicators are subject to di...
Authors: Gerald Cooray, Richard Rosch, Karl Friston
arXiv
Neural mass models are used to simulate cortical dynamics and to explain the electrical and magnetic fields measured using electro- and magnetoencephalography. Simulations evince a complex phase-space...
Authors: Manoj K. Nandi, Alessandro Sarracino, Hans J. Herrmann, Lucilla de Arcangelis
arXiv
Many systems in Nature exhibit avalanche dynamics with scale-free features. A general scaling theory has been proposed for critical avalanche profiles in crackling noise, predicting the collapse onto...
Authors: Luke Hardcastle, Samuel Livingstone, Claire Black, Federico Ricciardi, Gianluca Baio
arXiv
Patients who are mechanically ventilated in the intensive care unit (ICU) participate in exercise as a component of their rehabilitation to ameliorate the long-term impact of critical illness on their...
Authors: Roulan Jiang, Xiang Zhan, Tianying Wang
arXiv
In microbiome studies, it is of interest to use a sample from a population of microbes, such as the gut microbiota community, to estimate the population proportion of these taxa. However, due to biase...
Authors: Frederic Folz, Kurt Mehlhorn, Giovanna Morigi
arXiv
We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonl...
Authors: Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo
arXiv
In modern Industry 4.0 applications, a huge amount of data is acquired during manufacturing processes that are often contaminated with anomalous observations in the form of both casewise and cellwise...
Authors: Felipe Uribe, Yiqiu Dong, Per Christian Hansen
arXiv
In many large-scale inverse problems, such as computed tomography and image deblurring, characterization of sharp edges in the solution is desired. Within the Bayesian approach to inverse problems, ed...