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 ...

While people explore the environment around them, their eyes constantly move between different objects, faces and other ...

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 ...

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 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 ...

Neural networks are essentially complex math functions which work with numeric values. Therefore, categorical predictor variables and categorical dependent variables must be converted to a numeric ...

(A) Top and rear views of 9/64, 21/64, 32/128, and 66/256 electrode configurations. (B) Basic structure of the BCI system. The 200 targets were formed by combining 40 square luminance-modulated ...

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 ...