<p><b><i>A,</i></b> The distributions of attention indices are displayed for spatial attention. The distributions of excitatory neurons (gray bars, upper panels) and those of inhibitory neurons (empty bars, lower panels) are depicted. In all panels, filled bars indicate the neurons showing statistically significant modulations by attention (t-test, p<0.01). Triangles show the median values. <b><i>B,</i></b> Similar distributions of attention indices are shown for feature-based attention.</p
<p>(A) For each neuron, the degree of normalization (α), defined as firing rate(P<sub>100</sub>N<sub...
Many studies use population analysis approaches, such as dimensionality reduction, to characterize t...
<p><b>a</b>) Distribution of preference index (see Experimental procedures) for cells excited (red h...
<p>Attentional indices with gradually reduced intercolumbar projection. AI(/), AI(), AI(R) are displ...
<p>The figure shows an illustration of a network model composed of three neural populations that aim...
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...
<p>Population responses of excitatory (<b><i>A</i></b>) and inhibitory (<b><i>B</i></b>) neurons in ...
How attention shapes the structure of population activity has attracted substantial interest over th...
Visual attention functions in two distinct modes: spatial and feature-based attention. Numerous stud...
<p>(A) Attention effects on r<sub>sc</sub> of non-feature selective neural pairs. Light and dark gra...
<p>The black and gray dots represent the FR of a neuron to its preferred and non-preferred stimulus ...
AbstractHow does attention optimize our visual system for the task at hand? Two mechanisms have been...
Visual attention can dramatically improve behavioural performance by allowing observers to focus on ...
<p>M1's and M2's MR neurons (Rows A and B, respectively) were classified into nine groups using the ...
<p>(A) For each neuron, the degree of normalization (α), defined as firing rate(P<sub>100</sub>N<sub...
Many studies use population analysis approaches, such as dimensionality reduction, to characterize t...
<p><b>a</b>) Distribution of preference index (see Experimental procedures) for cells excited (red h...
<p>Attentional indices with gradually reduced intercolumbar projection. AI(/), AI(), AI(R) are displ...
<p>The figure shows an illustration of a network model composed of three neural populations that aim...
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...
<p>Population responses of excitatory (<b><i>A</i></b>) and inhibitory (<b><i>B</i></b>) neurons in ...
How attention shapes the structure of population activity has attracted substantial interest over th...
Visual attention functions in two distinct modes: spatial and feature-based attention. Numerous stud...
<p>(A) Attention effects on r<sub>sc</sub> of non-feature selective neural pairs. Light and dark gra...
<p>The black and gray dots represent the FR of a neuron to its preferred and non-preferred stimulus ...
AbstractHow does attention optimize our visual system for the task at hand? Two mechanisms have been...
Visual attention can dramatically improve behavioural performance by allowing observers to focus on ...
<p>M1's and M2's MR neurons (Rows A and B, respectively) were classified into nine groups using the ...
<p>(A) For each neuron, the degree of normalization (α), defined as firing rate(P<sub>100</sub>N<sub...
Many studies use population analysis approaches, such as dimensionality reduction, to characterize t...
<p><b>a</b>) Distribution of preference index (see Experimental procedures) for cells excited (red h...