Add to ORKGSimultaneously recorded neurons often exhibit correlations in their spiking activity. These correlations shape the statistical structure of the population activity, and can lead to substantial redundancy across neurons. Here, we study the effect of pairwise correlations on the population spike count statistics and redundancy in populations of threshold-neurons in which response-correlations arise from correlated Gaussian inputs. We investigate the scaling of the redundancy as the population size is increased, and compare the asymptotic redundancy in our models to the corresponding maximum- and minimum entropy models
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how neural systems perform computations and process sensory information, we n...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Concerted neural activity can reflect specific features of sensory stimuli or behavioral tasks. Corr...
Recent neurophysiological experiments suggest that populations of neurons use a computational scheme...
Sensory and cognitive processing relies on the concerted activity of large populations of neurons. T...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Pairwise correlations among spike trains recorded in vivo have been fre-quently reported. It has bee...
The amount of information encoded by networks of neurons critically depends on the correlation struc...
Spike correlations among neurons are widely encountered in the brain. Although models accounting for...
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how neural systems perform computations and process sensory information, we n...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we...
Concerted neural activity can reflect specific features of sensory stimuli or behavioral tasks. Corr...
Recent neurophysiological experiments suggest that populations of neurons use a computational scheme...
Sensory and cognitive processing relies on the concerted activity of large populations of neurons. T...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Pairwise correlations among spike trains recorded in vivo have been fre-quently reported. It has bee...
The amount of information encoded by networks of neurons critically depends on the correlation struc...
Spike correlations among neurons are widely encountered in the brain. Although models accounting for...
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how neural systems perform computations and process sensory information, we n...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...