Stroke causes behavioral deficits in multiple cognitive domains and there is a growing interest in predicting patient performance from neuroimaging data using machine learning techniques. Here we investigated a deep learning approach based on Convolutional Neural Networks (CNNs) for predicting the severity of language disorder from 3D MRI lesion images from magnetic resonance imaging (MRI) […]
Published on July 31, 2019
A new approach to understanding the interaction between cortical areas is provided by a mathematical analysis of biased competition, which describes many interactions between cortical areas, including those involved in top-down attention. The analysis helps to elucidate the principles of operation of such cortical systems, and in particular the parameter values within which biased competition […]
Published on July 31, 2019
Similar to humans, the normal aged rat population is not homogenous in terms of cognitive function. Two distinct subpopulations of aged Sprague-Dawley rats can be identified on the basis of spatial memory performance in the hole-board paradigm. It was the aim of the study to reveal protein changes relevant to aging and spatial memory performance. […]
Published on July 31, 2019
