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Behavior is encoded across multiple scales of brain activity, from binary neuronal spikes to continuous fields including local field potentials (LFP). Multiscale models need to describe both the encoding of behavior and the conditional dependencies in simultaneously recorded spike and field signals, which form a high-dimensional multiscale network. However, learning spike-field dependencies in high-dimensional recordings is challenging due to the prohibitively large number of spike-field signal pairs, which makes standard learning techniques subject to overfitting.
This article was published in the following journal.
Name: Journal of neural engineering
Distributed and parallel computing is becoming more important with the availability of extremely large data sets. In this article, we consider this problem for high-dimensional linear quantile regress...
The study of healthy brain development helps to better understand both brain transformation and connectivity patterns, which happen during childhood to adulthood. This study presents a sparse machine ...
Partial directed coherence (PDC) computed from multivariate autoregressive (MVAR) model coefficient is increasingly being used to study directed functional connectivity between brain regions in the fr...
Differential network analysis investigates how the network of connected genes changes from one condition to another and has become a prevalent tool to provide a deeper and more comprehensive understan...
Most existing low-rank and sparse representation models cannot preserve the local manifold structures of samples adaptively, or separate the locality preservation from the coding process, which may re...
Aim of this study is to evaluate whether the length of coronary segments, assessed by an experienced operator, using the "optimal view" of standard 2-dimensional coronary angiography, is o...
The study aims to examine whether the neurofeedback method (based on functional magnetic resonance imaging [fMRI]) can help patients with alcohol dependence to control their urges to drin...
The objective of this research is to identify the functional neural mechanisms (as assessed using fMRI) of short-term N-acetylcysteine (NAC) administration among methadone-maintained indiv...
The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved ...
Adults (18 years and over) and children (10-17 years of age) scheduled for surgery to correct scoliosis will be included in this study, for which participation will last 6 months. Each age...
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.
Process for making, building or constructing a physical object from a three-dimensional digital model by laying down many successive thin layers of building material.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Echocardiography amplified by the addition of depth to the conventional two-dimensional ECHOCARDIOGRAPHY visualizing only the length and width of the heart. Three-dimensional ultrasound imaging was first described in 1961 but its application to echocardiography did not take place until 1974. (Mayo Clin Proc 1993;68:221-40)
Descriptive anatomy based on three-dimensional imaging (IMAGING, THREE-DIMENSIONAL) of the body, organs, and structures using a series of computer multiplane sections, displayed by transverse, coronal, and sagittal analyses. It is essential to accurate interpretation by the radiologist of such techniques as ultrasonic diagnosis, MAGNETIC RESONANCE IMAGING, and computed tomography (TOMOGRAPHY, X-RAY COMPUTED). (From Lane & Sharfaei, Modern Sectional Anatomy, 1992, Preface)