The brain has a limited capacity and therefore needs mechanisms to selectively enhance the information most relevant to one’s current behavior. We refer to these mechanisms as “attention.” Attention acts by increasing the strength of selected neural representations and preferentially routing them through the brain’s large-scale network. This is a critical component of cognition and therefore has been a central topic in cognitive neuroscience. Here we review a diverse literature that has studied attention at the level of behavior, networks, circuits, and neurons. We then integrate these disparate results into a unified theory of attention
Attentional mechanisms filter and constrain the flow of information processing so that only the most...
This paper describes a network-oriented model based on the neuro-scientist Graziano's Attention Sche...
The concept of attention has been used in many senses, often without clarifying how or why attention...
The brain has a limited capacity and therefore needs mechanisms to selectively enhance the informati...
Aspects of activation, selection and control have been related to attention from early to more recen...
Attention is critical to high-level cognition and attention deficits are a hallmark of neurologic an...
Over the last three decades, cognitive neuroscience has contributed outstandingly to research on att...
Visual attention facilitates faster and more accurate decision-making for behaviorally relevant stim...
Selective routing of information between brain areas is a key prerequisite for flexible adaptive beh...
Posner and colleagues [38,40] assert that attention comprises three distinct anatomical areas of the...
This paper describes a network-oriented model based on the neuroscientist Graziano’s Attention Schem...
Posner and colleagues 38,40 assert that attention comprises three distinct anatomical areas of the b...
Over the past forty years much work has assessed how attention modulates perception, but relatively ...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
Attention is the important ability to flexibly control limited computational resources. It has been ...
Attentional mechanisms filter and constrain the flow of information processing so that only the most...
This paper describes a network-oriented model based on the neuro-scientist Graziano's Attention Sche...
The concept of attention has been used in many senses, often without clarifying how or why attention...
The brain has a limited capacity and therefore needs mechanisms to selectively enhance the informati...
Aspects of activation, selection and control have been related to attention from early to more recen...
Attention is critical to high-level cognition and attention deficits are a hallmark of neurologic an...
Over the last three decades, cognitive neuroscience has contributed outstandingly to research on att...
Visual attention facilitates faster and more accurate decision-making for behaviorally relevant stim...
Selective routing of information between brain areas is a key prerequisite for flexible adaptive beh...
Posner and colleagues [38,40] assert that attention comprises three distinct anatomical areas of the...
This paper describes a network-oriented model based on the neuroscientist Graziano’s Attention Schem...
Posner and colleagues 38,40 assert that attention comprises three distinct anatomical areas of the b...
Over the past forty years much work has assessed how attention modulates perception, but relatively ...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
Attention is the important ability to flexibly control limited computational resources. It has been ...
Attentional mechanisms filter and constrain the flow of information processing so that only the most...
This paper describes a network-oriented model based on the neuro-scientist Graziano's Attention Sche...
The concept of attention has been used in many senses, often without clarifying how or why attention...