Motion is characterized by a series of positions an object traverses over time. An object presented sequentially at two positions, with a time delay between them, is sufficient for us to perceive ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

This article explains how to programmatically encode categorical data for use with a machine learning (ML) prediction model such as a neural network classification or regression system. Suppose you ...

Researchers from HSE University and the University of California San Diego, Igor Utochkin and Timothy Brady, have found new evidence of hierarchical encoding of images in visual working memory. It ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.