cor

New Zealand says it backs Taiwan's role in WHO due to success with coronavirus




cor

Cruz gets his hair cut at salon whose owner was jailed for defying Texas coronavirus restrictions

After his haircut, Sen. Ted Cruz said, "It was ridiculous to see somebody sentenced to seven days in jail for cutting hair."





cor

Nearly one-third of Americans believe a coronavirus vaccine exists and is being withheld, survey finds

The Democracy Fund + UCLA Nationscape Project found some misinformation about the coronavirus is more widespread that you might think.





cor

Pence press secretary tests positive for coronavirus

The news comes shortly after a valet who served meals to President Trump also tested positive for the virus.





cor

Coronavirus: Chinese official admits health system weaknesses

China says it will improve public health systems after criticism of its early response to the virus.





cor

Beyond Whittle: Nonparametric Correction of a Parametric Likelihood with a Focus on Bayesian Time Series Analysis

Claudia Kirch, Matthew C. Edwards, Alexander Meier, Renate Meyer.

Source: Bayesian Analysis, Volume 14, Number 4, 1037--1073.

Abstract:
Nonparametric Bayesian inference has seen a rapid growth over the last decade but only few nonparametric Bayesian approaches to time series analysis have been developed. Most existing approaches use Whittle’s likelihood for Bayesian modelling of the spectral density as the main nonparametric characteristic of stationary time series. It is known that the loss of efficiency using Whittle’s likelihood can be substantial. On the other hand, parametric methods are more powerful than nonparametric methods if the observed time series is close to the considered model class but fail if the model is misspecified. Therefore, we suggest a nonparametric correction of a parametric likelihood that takes advantage of the efficiency of parametric models while mitigating sensitivities through a nonparametric amendment. We use a nonparametric Bernstein polynomial prior on the spectral density with weights induced by a Dirichlet process and prove posterior consistency for Gaussian stationary time series. Bayesian posterior computations are implemented via an MH-within-Gibbs sampler and the performance of the nonparametrically corrected likelihood for Gaussian time series is illustrated in a simulation study and in three astronomy applications, including estimating the spectral density of gravitational wave data from the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO).




cor

Bayes Factor Testing of Multiple Intraclass Correlations

Joris Mulder, Jean-Paul Fox.

Source: Bayesian Analysis, Volume 14, Number 2, 521--552.

Abstract:
The intraclass correlation plays a central role in modeling hierarchically structured data, such as educational data, panel data, or group-randomized trial data. It represents relevant information concerning the between-group and within-group variation. Methods for Bayesian hypothesis tests concerning the intraclass correlation are proposed to improve decision making in hierarchical data analysis and to assess the grouping effect across different group categories. Estimation and testing methods for the intraclass correlation coefficient are proposed under a marginal modeling framework where the random effects are integrated out. A class of stretched beta priors is proposed on the intraclass correlations, which is equivalent to shifted $F$ priors for the between groups variances. Through a parameter expansion it is shown that this prior is conditionally conjugate under the marginal model yielding efficient posterior computation. A special improper case results in accurate coverage rates of the credible intervals even for minimal sample size and when the true intraclass correlation equals zero. Bayes factor tests are proposed for testing multiple precise and order hypotheses on intraclass correlations. These tests can be used when prior information about the intraclass correlations is available or absent. For the noninformative case, a generalized fractional Bayes approach is developed. The method enables testing the presence and strength of grouped data structures without introducing random effects. The methodology is applied to a large-scale survey study on international mathematics achievement at fourth grade to test the heterogeneity in the clustering of students in schools across countries and assessment cycles.




cor

Data Denoising and Post-Denoising Corrections in Single Cell RNA Sequencing

Divyansh Agarwal, Jingshu Wang, Nancy R. Zhang.

Source: Statistical Science, Volume 35, Number 1, 112--128.

Abstract:
Single cell sequencing technologies are transforming biomedical research. However, due to the inherent nature of the data, single cell RNA sequencing analysis poses new computational and statistical challenges. We begin with a survey of a selection of topics in this field, with a gentle introduction to the biology and a more detailed exploration of the technical noise. We consider in detail the problem of single cell data denoising, sometimes referred to as “imputation” in the relevant literature. We discuss why this is not a typical statistical imputation problem, and review current approaches to this problem. We then explore why the use of denoised values in downstream analyses invites novel statistical insights, and how denoising uncertainty should be accounted for to yield valid statistical inference. The utilization of denoised or imputed matrices in statistical inference is not unique to single cell genomics, and arises in many other fields. We describe the challenges in this type of analysis, discuss some preliminary solutions, and highlight unresolved issues.




cor

Heteromodal Cortical Areas Encode Sensory-Motor Features of Word Meaning

The capacity to process information in conceptual form is a fundamental aspect of human cognition, yet little is known about how this type of information is encoded in the brain. Although the role of sensory and motor cortical areas has been a focus of recent debate, neuroimaging studies of concept representation consistently implicate a network of heteromodal areas that seem to support concept retrieval in general rather than knowledge related to any particular sensory-motor content. We used predictive machine learning on fMRI data to investigate the hypothesis that cortical areas in this "general semantic network" (GSN) encode multimodal information derived from basic sensory-motor processes, possibly functioning as convergence–divergence zones for distributed concept representation. An encoding model based on five conceptual attributes directly related to sensory-motor experience (sound, color, shape, manipulability, and visual motion) was used to predict brain activation patterns associated with individual lexical concepts in a semantic decision task. When the analysis was restricted to voxels in the GSN, the model was able to identify the activation patterns corresponding to individual concrete concepts significantly above chance. In contrast, a model based on five perceptual attributes of the word form performed at chance level. This pattern was reversed when the analysis was restricted to areas involved in the perceptual analysis of written word forms. These results indicate that heteromodal areas involved in semantic processing encode information about the relative importance of different sensory-motor attributes of concepts, possibly by storing particular combinations of sensory and motor features.

SIGNIFICANCE STATEMENT The present study used a predictive encoding model of word semantics to decode conceptual information from neural activity in heteromodal cortical areas. The model is based on five sensory-motor attributes of word meaning (color, shape, sound, visual motion, and manipulability) and encodes the relative importance of each attribute to the meaning of a word. This is the first demonstration that heteromodal areas involved in semantic processing can discriminate between different concepts based on sensory-motor information alone. This finding indicates that the brain represents concepts as multimodal combinations of sensory and motor representations.




cor

Brain-Derived Neurotrophic Factor Protection of Cortical Neurons from Serum Withdrawal-Induced Apoptosis Is Inhibited by cAMP

Steven Poser
Jun 1, 2003; 23:4420-4427
Cellular




cor

Nurture versus Nature: Long-Term Impact of Forced Right-Handedness on Structure of Pericentral Cortex and Basal Ganglia

Stefan Klöppel
Mar 3, 2010; 30:3271-3275
BRIEF COMMUNICATION




cor

The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality

Fatma Deniz
Sep 25, 2019; 39:7722-7736
BehavioralSystemsCognitive




cor

Interactions of Top-Down and Bottom-Up Mechanisms in Human Visual Cortex

Stephanie McMains
Jan 12, 2011; 31:587-597
BehavioralSystemsCognitive




cor

An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex

Ye Zhang
Sep 3, 2014; 34:11929-11947
Cellular




cor

Sleep Loss Promotes Astrocytic Phagocytosis and Microglial Activation in Mouse Cerebral Cortex

Michele Bellesi
May 24, 2017; 37:5263-5273
Cellular




cor

The Encoding of Sound Source Elevation in the Human Auditory Cortex

Régis Trapeau
Mar 28, 2018; 38:3252-3264
BehavioralSystemsCognitive




cor

The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception

Nancy Kanwisher
Jun 1, 1997; 17:4302-4311
Articles




cor

Correction: Sequerra, Goyal et al., "NMDA Receptor Signaling Is Important for Neural Tube Formation and for Preventing Antiepileptic Drug-Induced Neural Tube Defects"




cor

Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis

JS Taube
Feb 1, 1990; 10:420-435
Articles




cor

Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque

Earl K. Miller
Aug 15, 1996; 16:5154-5167
Articles




cor

Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4

Carrie J. McAdams
Jan 1, 1999; 19:431-441
Articles




cor

Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans

Jeremy R. Manning
Oct 28, 2009; 29:13613-13620
BehavioralSystemsCognitive




cor

Experience-Dependent Plasticity of Binocular Responses in the Primary Visual Cortex of the Mouse

Joshua A. Gordon
May 15, 1996; 16:3274-3286
Articles




cor

Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

Randy L. Buckner
Feb 11, 2009; 29:1860-1873
Neurobiology of Disease




cor

{alpha}-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection

Gregor Thut
Sep 13, 2006; 26:9494-9502
BehavioralSystemsCognitive




cor

The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs

WR Softky
Jan 1, 1993; 13:334-350
Articles




cor

Pax6, Tbr2, and Tbr1 Are Expressed Sequentially by Radial Glia, Intermediate Progenitor Cells, and Postmitotic Neurons in Developing Neocortex

Chris Englund
Jan 5, 2005; 25:247-251
BRIEF COMMUNICATION




cor

Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex

Matteo Carandini
Nov 1, 1997; 17:8621-8644
Articles




cor

Cortical Excitatory Neurons and Glia, But Not GABAergic Neurons, Are Produced in the Emx1-Expressing Lineage

Jessica A. Gorski
Aug 1, 2002; 22:6309-6314
BRIEF COMMUNICATION




cor

Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex

EL Bienenstock
Jan 1, 1982; 2:32-48
Articles




cor

A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components

M Steriade
Aug 1, 1993; 13:3252-3265
Articles




cor

Highly Selective Receptive Fields in Mouse Visual Cortex

Cristopher M. Niell
Jul 23, 2008; 28:7520-7536
BehavioralSystemsCognitive




cor

The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding

Michael N. Shadlen
May 15, 1998; 18:3870-3896
Articles




cor

An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex

Ye Zhang
Sep 3, 2014; 34:11929-11947
Cellular




cor

The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception

Nancy Kanwisher
Jun 1, 1997; 17:4302-4311
Articles




cor

Le Communiqué de Bâle finalise les principes relatifs aux tests de résistance, passe en revue les moyens pour mettre fin aux comportements d'arbitrage réglementaire, s'accorde sur la liste annuelle des G-SIB et discute du ratio

French translation of press release - the Basel Committee on Banking Supervision is finalising stress-testing principles, reviews ways to stop regulatory arbitrage behaviour, agrees on annual G-SIB list, discusses leverage ratio, crypto-assets, market risk framework and implementation, 20 September 2018.




cor

cunnilingus en corea del norte buenos aires tango version v




cor

Corsair is old. - :corsair:






cor

Wintrust Financial Corporation Reports Record Full-Year 2019 Net Income of $355.7 million and Fourth Quarter 2019 Net Income of $86.0 million, up 8% from the Fourth Quarter 2018

To view more press releases, please visit http://www.snl.com/irweblinkx/news.aspx?iid=1024452.








cor

Wintrust Financial Corporation Announces Precautionary Decision to Help Achieve Community Health Objectives By Temporarily Closing Selected Branches

To view more press releases, please visit http://www.snl.com/irweblinkx/news.aspx?iid=1024452.