<p><b>A.</b> Number of encoded stimuli <i>versus</i>, for an independent population divided into different numbers of pools, (colors); the error criterion is . <b>B.</b> Ratio of the number of encoded stimuli in a correlated population and the number of encoded stimuli in a matched independent population, for different numbers of pools (colors). <b>C.</b> Optimal pool size, , <i>versus</i> error criterion, , for correlated (dashed line, ) and independent (solid line) populations. <b>D.</b> Optimal capacity per neuron, , <i>versus</i> error criterion, , for correlated (dashed line, ) and independent (solid line) populations.</p
<p>For fixed neuronal responses variances and tuning curves, we compute coding performance – quantif...
<p>A–B. Dependence on coding levels. A. Maximal capacity as a function of for different coding leve...
Efficient coding has been proposed as a first principle explaining neuronal response properties in t...
<p><b>A, B.</b> Schematics of the optimal arrangement of the probability distributions for independe...
<p><b>A.</b> The discrimination performance of the pairwise-optimal decoder (solid thick black curve...
(a) Illustration of the setup used to assess computational capacity. An input signal, u, is used to ...
This thesis combines arguments of efficient coding with models and constraints of population coding ...
<p><b>A.</b> Schematic representation of pairwise- and groupwise-optimal decoding. <b>B.</b> The ave...
We create a framework based on Fisher information for determining the most effective population codi...
In many sensory systems the neural signal is coded by the coordinated response of heterogeneous popu...
International audienceWithin a given brain region, individual neurons exhibit a wide variety of diff...
Copyright © 2004 IEEEIn this paper the optimality of the encoding by relaxing the constraint of iden...
Information in the brain is usually encoded in a way that distributes the activity over a population...
<p>We consider signal encoding in a population of 20 neurons, each of which has a different dependen...
<p><b>A.</b> Probability of error as a function of the cross-pool correlation, , for a small neural ...
<p>For fixed neuronal responses variances and tuning curves, we compute coding performance – quantif...
<p>A–B. Dependence on coding levels. A. Maximal capacity as a function of for different coding leve...
Efficient coding has been proposed as a first principle explaining neuronal response properties in t...
<p><b>A, B.</b> Schematics of the optimal arrangement of the probability distributions for independe...
<p><b>A.</b> The discrimination performance of the pairwise-optimal decoder (solid thick black curve...
(a) Illustration of the setup used to assess computational capacity. An input signal, u, is used to ...
This thesis combines arguments of efficient coding with models and constraints of population coding ...
<p><b>A.</b> Schematic representation of pairwise- and groupwise-optimal decoding. <b>B.</b> The ave...
We create a framework based on Fisher information for determining the most effective population codi...
In many sensory systems the neural signal is coded by the coordinated response of heterogeneous popu...
International audienceWithin a given brain region, individual neurons exhibit a wide variety of diff...
Copyright © 2004 IEEEIn this paper the optimality of the encoding by relaxing the constraint of iden...
Information in the brain is usually encoded in a way that distributes the activity over a population...
<p>We consider signal encoding in a population of 20 neurons, each of which has a different dependen...
<p><b>A.</b> Probability of error as a function of the cross-pool correlation, , for a small neural ...
<p>For fixed neuronal responses variances and tuning curves, we compute coding performance – quantif...
<p>A–B. Dependence on coding levels. A. Maximal capacity as a function of for different coding leve...
Efficient coding has been proposed as a first principle explaining neuronal response properties in t...