<p>Feature-space representation of three stimuli used to study misbinding errors and characteristics of the population codes. Three items are separated by a distance Δ<i>x</i>. This set of items will generate interference patterns as shown by the dotted lines. The circles represent one standard deviation of the receptive field response levels. The green circles represent a population code in which the three stimuli are well separated. The blue circle represents a code for which all the stimuli lie inside a single receptive field and would generate misbinding errors. The target is randomly chosen on each trial as one of the three items.</p
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
<p>(a) Schematic illustrating how contextual shifts in neural tuning curves required for a context-i...
<p>Behavioral accuracy for judging which eye saw the grating stimulus is plotted for the low and hig...
A A random Gaussian receptive field population. The width of the RFs are chosen to minimize the tota...
<p><b>Top</b>: Receptive fields of units (one standard deviation), shown for the three different typ...
<p>These are the patterns of signal that were added to 100 x 100 noisy fields to generate simulated ...
<p><b>(A)</b> A representation of stimuli in the signal-in-noise task viewed from above, and an illu...
<p>100 individual samples from the model are generated for specific parameters (<i>M</i> = 200, <i>σ...
<p>A: Stimulus composed of 24 patterns. The target to be detected is shown by the arrow. B: Results ...
<p>The black line shows the target profile. The blue curve is “raw” classification image and the red...
<p>(A) Shapes appeared with slender noise bars (identified by red arrows) that were centered within ...
A Schematic of three different possibilities for representing a K = 8-dimensional stimulus. The feat...
If a stimulus with value “3” is presented, each channel gives an average response equivalent to the ...
<p>The graphs quantify different sorts of error in terms of the weights in a mixture model capturing...
<p>Symbols indicate the pooled data of individual observers obtained in the main (top panel) and con...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
<p>(a) Schematic illustrating how contextual shifts in neural tuning curves required for a context-i...
<p>Behavioral accuracy for judging which eye saw the grating stimulus is plotted for the low and hig...
A A random Gaussian receptive field population. The width of the RFs are chosen to minimize the tota...
<p><b>Top</b>: Receptive fields of units (one standard deviation), shown for the three different typ...
<p>These are the patterns of signal that were added to 100 x 100 noisy fields to generate simulated ...
<p><b>(A)</b> A representation of stimuli in the signal-in-noise task viewed from above, and an illu...
<p>100 individual samples from the model are generated for specific parameters (<i>M</i> = 200, <i>σ...
<p>A: Stimulus composed of 24 patterns. The target to be detected is shown by the arrow. B: Results ...
<p>The black line shows the target profile. The blue curve is “raw” classification image and the red...
<p>(A) Shapes appeared with slender noise bars (identified by red arrows) that were centered within ...
A Schematic of three different possibilities for representing a K = 8-dimensional stimulus. The feat...
If a stimulus with value “3” is presented, each channel gives an average response equivalent to the ...
<p>The graphs quantify different sorts of error in terms of the weights in a mixture model capturing...
<p>Symbols indicate the pooled data of individual observers obtained in the main (top panel) and con...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
<p>(a) Schematic illustrating how contextual shifts in neural tuning curves required for a context-i...
<p>Behavioral accuracy for judging which eye saw the grating stimulus is plotted for the low and hig...