A. Seth

Publications315
h-index63
Citations17,406
Highly Influential Citations1,162
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  • Publications
  • Influence
A MATLAB toolbox for Granger causal connectivity analysis
  • A. Seth
  • Computer Science
    Journal of Neuroscience Methods
  • 15 February 2010
View on Elsevier
Interoceptive inference, emotion, and the embodied self
  • A. Seth
  • Psychology
    Trends in Cognitive Sciences
  • 1 November 2013
View on Elsevier
The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference
View on Elsevier
Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness
View on Elsevier
Granger causality and transfer entropy are equivalent for Gaussian variables.
TLDR
It is shown that for Gaussian variables, Granger causality and transfer entropy are entirely equivalent, thus bridging autoregressive and information-theoretic approaches to data-driven causal inference.
View on PubMed
An Interoceptive Predictive Coding Model of Conscious Presence
TLDR
This model integrates a broad range of previously disparate evidence, makes predictions for conjoint manipulations of agency and presence, offers a new view of emotion as interoceptive inference, and represents a step toward a mechanistic account of a fundamental phenomenological property of consciousness.
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Wiener–Granger Causality: A well established methodology
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Multisensory integration across exteroceptive and interoceptive domains modulates self-experience in the rubber-hand illusion
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Practical Measures of Integrated Information for Time-Series Data
TLDR
Two new measures are described, ΦE and ΦAR, that overcome limitations and are easy to apply to time-series data and carry implications for relations between integrated information, consciousness, and other neurocognitive processes.
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Complexity of Multi-Dimensional Spontaneous EEG Decreases during Propofol Induced General Anaesthesia
TLDR
There is a robustly measurable decrease in the complexity of spontaneous EEG during general anaesthesia, and three distinct measures are considered which capture distinct ‘flavours’ of complexity.
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