Add to ORKGSimultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we use a population of threshold neurons receiving correlated inputs to model neural population recordings. We show analytically that small changes in second-order correlations can lead to large changes in higher-order redundancies, and that the resulting interactions have a strong impact on the entropy, sparsity, and statistical heat capacity of the population. Our findings for this simple model may explain some surprising effects recently observed in neural population recordings
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how populations of neurons encode information about external correlates, it i...
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...
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 often exhibit correlations in their spiking activity. These correlat...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how populations of neurons encode information about external correlates, it i...
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...
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 often exhibit correlations in their spiking activity. These correlat...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Finding models for capturing the statistical structure of multi-neuron firing patterns is a major ch...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlat...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new insights int...
Recent experiments involving a relatively large population of neurons have shown a very significant ...
In order to understand how populations of neurons encode information about external correlates, it i...