Attention has been found to have a wide variety of effects on the responses of neurons in visual cortex. We describe a model of attention that exhibits each of these different forms of attentional modulation, depending on the stimulus conditions and the spread (or selectivity) of the attention field in the model. The model helps reconcile proposals that have been taken to represent alternative theories of attention. We argue that the variety and complexity of the results reported in the literature emerge from the variety of empirical protocols that were used, such that the results observed in any one experiment depended on the stimulus conditions and the subject's attentional strategy, a notion that we define precisely in terms of the atten...
Divisive normalization models of covert attention commonly use spike rate modulations as indicators ...
Shifting attention among visual stimuli at different locations modulates neuronal responses in heter...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...
Attention has been found to have a wide variety of effects on the responses of neurons in visual cor...
Although many studies have shown that attention to a stimulus can enhance the responses of individua...
Normalization models of visual sensitivity assume that the response of a visual mechanism is scaled ...
Visual attention can enhance visual performance. Exactly how this is accomplished remains unclear. A...
Various models of the neural mechanisms of attentional modulation in the visual cortex have been pro...
International audienceAttention plays an important role in natural vision. Implementing realistic at...
We present new simulation results, in which a computational model of interacting visual neurons simu...
Various models of the neural mechanisms of attentional modulation in the visual cortex have been pro...
Numerous psychophysical experiments have shown an important role for attentional modulations in visi...
Attention is commonly thought to improve behavioral performance by increasing response gain and supp...
Attention is commonly thought to improve behavioral performance by increasing response gain and supp...
si chronically dealing with competition among neural representa-processes, thereby impacting how att...
Divisive normalization models of covert attention commonly use spike rate modulations as indicators ...
Shifting attention among visual stimuli at different locations modulates neuronal responses in heter...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...
Attention has been found to have a wide variety of effects on the responses of neurons in visual cor...
Although many studies have shown that attention to a stimulus can enhance the responses of individua...
Normalization models of visual sensitivity assume that the response of a visual mechanism is scaled ...
Visual attention can enhance visual performance. Exactly how this is accomplished remains unclear. A...
Various models of the neural mechanisms of attentional modulation in the visual cortex have been pro...
International audienceAttention plays an important role in natural vision. Implementing realistic at...
We present new simulation results, in which a computational model of interacting visual neurons simu...
Various models of the neural mechanisms of attentional modulation in the visual cortex have been pro...
Numerous psychophysical experiments have shown an important role for attentional modulations in visi...
Attention is commonly thought to improve behavioral performance by increasing response gain and supp...
Attention is commonly thought to improve behavioral performance by increasing response gain and supp...
si chronically dealing with competition among neural representa-processes, thereby impacting how att...
Divisive normalization models of covert attention commonly use spike rate modulations as indicators ...
Shifting attention among visual stimuli at different locations modulates neuronal responses in heter...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...