Authors: Jonathan Touboul, Bard Ermentrout, Olivier Faugeras, Bruno Cessac
arXiv
We review a recent approach to the mean-field limits in neural networks that takes into account the stochastic nature of input current and the uncertainty in synaptic coupling. This approach was pro...
Authors: Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
arXiv
We propose two nonlinear Kalman smoothers that rely on Student's t distributions. The T-Robust smoother finds the maximum a posteriori likelihood (MAP) solution for Gaussian process noise and Student'...
Authors: Didier Sornette, Ivan Osorio
arXiv
This chapter first presents a rather personal view of some different aspects of predictability, going in crescendo from simple linear systems to high-dimensional nonlinear systems with stochastic forc...
Authors: Romain Veltz, Olivier Faugeras
arXiv
The Ring Model of orientation tuning is a dynamical model of a hypercolumn of visual area V1 in the human neocortex that has been designed to account for the experimentally observed orientation tuning...
Authors: Michael T. Schaub, Simon R. Schultz
arXiv
The Ising Model has recently received much attention for the statistical description of neural spike train data. In this paper, we propose and demonstrate its use for building decoders capable of pred...
Authors: Kim Kenobi, Ian L. Dryden
arXiv
The problem of matching unlabelled point sets using Bayesian inference is considered. Two recently proposed models for the likelihood are compared, based on the Procrustes size-and-shape and the full...
Authors: Babak Shahbaba, Robert Tibshirani, Catherine M. Shachaf, Sylvia K. Plevritis
arXiv
Gene expression microarray technologies provide the simultaneous measurements of a large number of genes. Typical analyses of such data focus on the individual genes, but recent work has demonstrated...
Authors: Sergei Gepshtein, Ivan Tyukin
arXiv
We review the reasoning underlying two approaches to combination of sensory uncertainties. First approach is noncommittal, making no assumptions about properties of uncertainty or parameters of stimul...
Authors: Jan van den Broek, Hiroshi Nishiura
arXiv
This study proposes a nonhomogeneous birth--death model which captures the dynamics of a directly transmitted infectious disease. Our model accounts for an important aspect of observed epidemic data i...
Authors: Majbah Uddin, Nathan Huynh
arXiv
This paper investigates factors affecting injury severity of crashes involving trucks for different lighting conditions on rural and urban roadways. It uses 2009-2013 Ohio crash data from the Highway...
Authors: Majbah Uddin, Meiyu, Pan, Ho-Ling Hwang
arXiv
Despite the plethora of research devoted to analyzing the impact of disability on travel behavior, not enough studies have investigated the varying impact of social and environmental factors on the mo...
Authors: Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta
arXiv
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memo...
Authors: Lara Johnson, Bruce Guthrie, Paul A T Kelly, Atul Anand, Alan Marshall, Sohan Seth
arXiv
Background: Frailty, a state of increased vulnerability to adverse health outcomes, has garnered significant attention in research and clinical practice. Existing constructs aggregate clinical feature...
Authors: Johannes H. Uhl, Stefan Leyk
arXiv
This paper presents a method for thematic agreement assessment of geospatial data products of different semantics and spatial granularities, which may be affected by spatial offsets between test and r...
Authors: Djalel Eddine Meskaldji, Leila Cammoun, Patric Hagmann, Reto Meuli, Jean Philippe Thiran, Stephan Morgenthaler
arXiv
In neuroimaging, a large number of correlated tests are routinely performed to detect active voxels in single-subject experiments or to detect regions that differ between individuals belonging to diff...