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4 papers · 1 filter
The complexity of dynamics in small neural circuits
Diego Fasoli, Anna Cattani, Stefano Panzeri
Mean-field theory is a powerful tool for studying large neural networks. However, when the system is composed of a few neurons, macroscopic differences between the mean-field appro…
Estimating Information-Theoretic Quantities
Robin A. A. Ince, Simon R. Schultz, Stefano Panzeri
Information theory is a practical and theoretical framework developed for the study of communication over noisy channels. Its probabilistic basis and capacity to relate statistical…
Applications of Information Theory to Analysis of Neural Data
Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri
Information theory is a practical and theoretical framework developed for the study of communication over noisy channels. Its probabilistic basis and capacity to relate statistical…
Summary of Information Theoretic Quantities
Robin A. A. Ince, Stefano Panzeri, Simon R. Schultz
Information theory is a practical and theoretical framework developed for the study of communication over noisy channels. Its probabilistic basis and capacity to relate statistical…