Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...

This is a brief description for the experiments of the USSP algorithm project. This project contains all the programs used in Paper "Stable Subsampling under Model Misspecification and Data Shift", ...

Abstract: NADA is a synthetic dataset of 1,500,000 (128x128 pixels) images of geometric shapes with non-elementary multivariate parameter distributions designed to benchmark and test novel ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

This post is in response to The Emerging Revival of Psychedelics in Neuroscience By Cami Rosso In honor of the long-awaited release of fourth movie in the Matrix series, ‘The Matrix Resurrections,’ it ...

Figure 1: Hierarchical model schematic; information from all base-level models is communicated to a top-level model through their respective matrices (T j) into a consensus matrix R. R is used to ...

VAR models analyse and predict multivariate time series data, unlike univariate autoregressive models. These models are particularly useful in fields such as economics and weather forecasting. VAR ...