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A Non-negative Measure Of Feature-Related Information Transfer Between Neural Signals

https://doi.org/10.1101/758128
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Entropy and Information in Neural Spike Trains
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Measuring Information Transfer
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Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
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Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI
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The threshold for conscious report: Signal loss and response bias in visual and frontal cortex
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Correcting for the Sampling Bias Problem in Spike Train Information Measures
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Electrophysiological Studies of Face Perception in Humans
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Dynamic Reconfiguration of Visuomotor-Related Functional Connectivity Networks
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Nonnegative Decomposition of Multivariate Information

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Inferring neural information flow from spiking data
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Neuroscience: Turbulent times for brain information processing
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Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data
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A synergistic core for human brain evolution and cognition
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A synergistic core for human brain evolution and cognition
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A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition
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NIT: an open-source tool for information theoretic analysis of neural population data
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Decomposing Neural Circuit Function into Information Processing Primitives
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Dynamic Synergy Network Analysis Reveals Stage-Specific Regional Dysfunction in Alzheimer’s Disease
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