This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Understanding how the brain transforms visual input into neural signals (encoding) and reconstructs perceptual or imagined content from those signals (decoding) lies at the heart of visual ...

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 ...

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 ...

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, ...

In a recent study, the researchers explored the distortions that bias our memory regarding the locations of objects and details within a scene. These distortions creep in because our visual system ...

Researchers at the University of Helsinki have made a breakthrough in understanding what neural mechanisms allow the extreme sensitivity of human vision in darkness. The new research shows that humans ...

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 ...