scientific article; zbMATH DE number 7275010
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Publication:5134641
zbMath1446.92068MaRDI QIDQ5134641
Ifije E. Ohiorhenuan, Jonathan D. Victor
Publication date: 17 November 2020
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)
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Higher-order correlations in common input shapes the output spiking activity of a neural population ⋮ Statistical modelling of higher-order correlations in pools of neural activity ⋮ A new method to infer higher-order spike correlations from membrane potentials ⋮ Synergy, redundancy, and multivariate information measures: an experimentalist's perspective
Cites Work
- On the significance of correlations among neuronal spike trains
- Evidence, information, and surprise
- Analysis of higher-order neuronal interactions based on conditional inference
- Detecting higher-order interactions among the spiking events in a group of neurons
- Estimating Entropy Rates with Bayesian Confidence Intervals
- The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex
- Information geometry on hierarchy of probability distributions
- Information-Geometric Measure for Neural Spikes
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