The capacity to briefly memorize fleeting sensory information supports visual search and
behavioral interactions with relevant stimuli in the environment. Traditionally, studies …

The article introduces an interference model of working memory for information in a
continuous similarity space, such as the features of visual objects. The model incorporates …

Abstract Artificial Neural Network (ANN) has served as an important pillar of machine
learning which played a crucial role in fueling the robust artificial intelligence (AI) revival …

How does a single interconnected neural population perform multiple tasks, each with its
own dynamical requirements? The relation between task requirements and neural dynamics …

Object recognition in the natural world usually occurs in the presence of multiple
surrounding objects, but responses of neurons in inferotemporal (IT) cortex, the large brain …

According to a prominent view in neuroscience, visual stimuli are coded by discrete cortical
networks that respond preferentially to specific categories, such as faces or objects …

Zenon Pylyshyn argues that cognitively driven attentional effects do not amount to cognitive
penetration of early vision because such effects occur either before or after early vision …

Sensory environments often contain an overwhelming amount of information, with both
relevant and irrelevant information competing for neural resources. Feature attention …

Does perceptual consciousness require cognitive access? Ned Block argues that it does
not. Central to his case are visual memory experiments that employ post‐stimulus cueing …

Traffic accident management as an approach to improve public security and reduce
economic losses has received public attention for a long time, among which traffic accidents …