<p><b>A</b>: The first layer consists of two separate channels containing neurons that respond either to the onset (ON) or to the removal (OFF) of the target stimulus. Layer 2 integrates the input from layer 1. Receptive fields as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0031773#pone-0031773-g001" target="_blank">figure 1</a>. <b>B</b>: Spike responses to the onset and removal of the target stimulus from units shown by small black circles.</p
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
<p>Sensory neuron populations for each decision alternative feed into corresponding accumulators, wh...
Metacontrast masking is a powerful illusion to investigate the dynamics of perceptual processing and...
<p><b>A</b>: Squares indicate the target input (left) and mask (right). White regions of the squares...
<p><b>A</b>: Squares indicate the first and the second target input in repetition masking experiment...
<p><b>A</b>: The model consists of two separate feature channels (Feat-1 and Feat-2) each with two l...
AbstractThe visibility of a target stimulus (T) can be reduced by an aftercoming and spatially non-o...
<p>Architecture of the model network and network activity. <b>a:</b> Architecture of the model netwo...
A brief target that is visible when displayed alone can be rendered invisible by a trailing stimulus...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
<p>(<i>A</i>) The three neurons in layer 1 (Layer 1) are clamped to input spike trains (in this exam...
A: Feedforward mapping from an input to two neural units s1 and s2. The mapping is defined by two r...
<p>(A) A bisection stimulus consists of three vertical lines, with the middle line slightly displace...
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
<p>Sensory neuron populations for each decision alternative feed into corresponding accumulators, wh...
Metacontrast masking is a powerful illusion to investigate the dynamics of perceptual processing and...
<p><b>A</b>: Squares indicate the target input (left) and mask (right). White regions of the squares...
<p><b>A</b>: Squares indicate the first and the second target input in repetition masking experiment...
<p><b>A</b>: The model consists of two separate feature channels (Feat-1 and Feat-2) each with two l...
AbstractThe visibility of a target stimulus (T) can be reduced by an aftercoming and spatially non-o...
<p>Architecture of the model network and network activity. <b>a:</b> Architecture of the model netwo...
A brief target that is visible when displayed alone can be rendered invisible by a trailing stimulus...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
A visual stimulus can be made invisible, i.e. masked, by the presentation of a second stimulus. In t...
<p>(<i>A</i>) The three neurons in layer 1 (Layer 1) are clamped to input spike trains (in this exam...
A: Feedforward mapping from an input to two neural units s1 and s2. The mapping is defined by two r...
<p>(A) A bisection stimulus consists of three vertical lines, with the middle line slightly displace...
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
<p>Sensory neuron populations for each decision alternative feed into corresponding accumulators, wh...
Metacontrast masking is a powerful illusion to investigate the dynamics of perceptual processing and...