• Publications
  • Influence
A MATLAB toolbox for Granger causal connectivity analysis
  • A. Seth
  • Computer Science, Medicine
  • Journal of Neuroscience Methods
  • 15 February 2010
This article describes a freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for performing this analysis on neuroscience data types including neuroelectric, neuromagnetic, functional MRI, and other neural signals. Expand
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The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference
  • L. Barnett, A. Seth
  • Computer Science, Medicine
  • Journal of Neuroscience Methods
  • 15 February 2014
We present the theoretical basis, computational strategy and application to empirical G-causal inference of the MVGC Toolbox. Expand
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Interoceptive inference, emotion, and the embodied self
  • A. Seth
  • Psychology, Medicine
  • Trends in Cognitive Sciences
  • 1 November 2013
The concept of the brain as a prediction machine has enjoyed a resurgence in the context of the Bayesian brain and predictive coding approaches within cognitive science. To date, this perspective hasExpand
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Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness
Interoception refers to the sensing of internal bodily changes. Interoception interacts with cognition and emotion, making measurement of individual differences in interoceptive ability broadlyExpand
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An Interoceptive Predictive Coding Model of Conscious Presence
We describe a theoretical model of the neurocognitive mechanisms underlying conscious presence and its disturbances. The model is based on interoceptive prediction error and is informed by predictiveExpand
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Granger causality and transfer entropy are equivalent for Gaussian variables.
Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. Developed originally in the field of econometrics, it has since found application in aExpand
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Wiener–Granger Causality: A well established methodology
This article describes a fundamentally different approach to identifying causal connectivity in neuroscience: a focus on the predictability of ongoing activity in one part from that in another. Expand
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Multisensory integration across exteroceptive and interoceptive domains modulates self-experience in the rubber-hand illusion
Identifying with a body is central to being a conscious self. The now classic "rubber hand illusion" demonstrates that the experience of body-ownership can be modulated by manipulating the timing ofExpand
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Granger Causality Analysis in Neuroscience and Neuroimaging
### Introduction A key challenge in neuroscience and, in particular, neuroimaging, is to move beyond identification of regional activations toward the characterization of functional circuitsExpand
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Partial Granger causality—Eliminating exogenous inputs and latent variables
Attempts to identify causal interactions in multivariable biological time series (e.g., gene data, protein data, physiological data) can be undermined by the confounding influence of environmentalExpand
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