A Schematic of three different possibilities for representing a K = 8-dimensional stimulus. The features can all be represented in a single population (left); they can be distributed across two populations (middle); they can be distributed across three populations (right). The two and three population codes must represent some features redundantly to avoid assignment errors. B (top) The scaling of local MSE for the three codes above with population SNR (left) and the total number of units (right). The colors are the same as in A and C. (middle) The same as top but showing the scaling of the assignment error rate. (bottom) The same as top but showing the scaling of the total MSE. C The number of regions that minimizes the total distortion of...
Natural stimulations caused by objects in the surrounding world do not stimulate single sensory rece...
A A schematic of the assignment problem. The brain receives both visual and auditory information abo...
The Minimum Description Length principle (MDL) can be used to train the hidden units of a neural net...
A A random Gaussian receptive field population. The width of the RFs are chosen to minimize the tota...
<p><b>A, B.</b> Schematics of the optimal arrangement of the probability distributions for independe...
<p><b>A.</b> Schematic representation of pairwise- and groupwise-optimal decoding. <b>B.</b> The ave...
Information in the brain is usually encoded in a way that distributes the activity over a population...
zemelOu.arizona.edu We study the problem of statistically correct inference in networks whose basic ...
<p>(a) Model of V1 encoding of gratings in filtered noise. Left panel: simulated V1 responses to a g...
In general, the process for multilayer feedforward neural network in pattern recognition is composed...
<p>The colored label and number in each rectangle indicate respectively the class (neurons encoding ...
<p><b>A.</b> Number of encoded stimuli <i>versus</i>, for an independent population divided into dif...
Theoretical and empirical studies of population codes make the assumption that neuronal activities r...
<p><b>(a)</b> The estimated firing probability of each neuron in module <i>K</i> computed at <i>t</i...
<p>Feature-space representation of three stimuli used to study misbinding errors and characteristics...
Natural stimulations caused by objects in the surrounding world do not stimulate single sensory rece...
A A schematic of the assignment problem. The brain receives both visual and auditory information abo...
The Minimum Description Length principle (MDL) can be used to train the hidden units of a neural net...
A A random Gaussian receptive field population. The width of the RFs are chosen to minimize the tota...
<p><b>A, B.</b> Schematics of the optimal arrangement of the probability distributions for independe...
<p><b>A.</b> Schematic representation of pairwise- and groupwise-optimal decoding. <b>B.</b> The ave...
Information in the brain is usually encoded in a way that distributes the activity over a population...
zemelOu.arizona.edu We study the problem of statistically correct inference in networks whose basic ...
<p>(a) Model of V1 encoding of gratings in filtered noise. Left panel: simulated V1 responses to a g...
In general, the process for multilayer feedforward neural network in pattern recognition is composed...
<p>The colored label and number in each rectangle indicate respectively the class (neurons encoding ...
<p><b>A.</b> Number of encoded stimuli <i>versus</i>, for an independent population divided into dif...
Theoretical and empirical studies of population codes make the assumption that neuronal activities r...
<p><b>(a)</b> The estimated firing probability of each neuron in module <i>K</i> computed at <i>t</i...
<p>Feature-space representation of three stimuli used to study misbinding errors and characteristics...
Natural stimulations caused by objects in the surrounding world do not stimulate single sensory rece...
A A schematic of the assignment problem. The brain receives both visual and auditory information abo...
The Minimum Description Length principle (MDL) can be used to train the hidden units of a neural net...