How do the two main types of neural dynamics, aperiodic transients and oscillations,
contribute to the interactions between feedforward (FF) and feedback (FB) pathways in …

Convolutional Neural Networks (CNN) are a class of machine learning models
predominately used in computer vision tasks and can achieve human-like performance …

The posterior superior temporal sulcus (pSTS) is a critical node in a network specialized for
perceiving emotional facial expressions that is reciprocally connected with early visual …

Brains can gracefully weed out irrelevant stimuli to guide behavior. This feat is believed to
rely on a progressive selection of task-relevant stimuli across the cortical hierarchy, but the …

One of the essential functions of biological neural networks is the processing of information.
This includes everything from processing sensory information to perceive the environment …

The interactions between prefrontal cortex and other areas during working memory have
been studied for decades. Here we outline a conceptual framework describing interactions …

Attention improves perception by enhancing the neural encoding of sensory information. A
long-standing hypothesis is that cortical feedback projections carry top-down signals to …

Time courses of neural responses underlie real-time sensory processing and perception.
How these temporal dynamics change may be fundamental to how sensory systems adapt …

Animals adapt to a constantly changing world by predicting their environment and the
consequences of their actions. The predictive coding hypothesis proposes that the brain …

Visual object memory is a fundamental element of various cognitive abilities, and the
underlying neural mechanisms have been extensively examined especially in the anterior …