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 ...

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 ...

A critical function performed by visual systems is the fast and reliable detection of features within the environment, such as moving objects or approaching threats. Neurons predicted to encode these ...

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) 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 ...

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 ...

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 ...

Humans are innately well-equipped to complete procedural tasks, such as following a recipe and assembling furniture. While completing these tasks, however, people can sometimes encounter visual ...

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 ...