Metzinger, Windt Seth
The held passages concern the Seth part of this catalogue name, the neuroscientist Anil Seth. Seth is credited with the interoceptive predictive coding hypothesis, which ties the sense of presence and emotion to predictions about signals from the body12. Seth also appears as co-author of a Granger causality toolbox5 and as a source on how brain activity relates to mind6.
- In the library
- 1 work, named in 4 passages elsewhere
Interoceptive predictive coding
Allen and Friston describe the interoceptive predictive coding hypothesis as an early example of predictive accounts of the body, and credit it to Seth (2013) and Seth and colleagues (2012)1. In their summary, presence results when top-down predictions suppress informative interoceptive signals evoked by autonomic control signals and bodily responses2. Disorders of presence are then traced to pathologically imprecise interoceptive predictive signals3. The account links presence, agency and emotion in one scheme.
Insula and affective salience
Allen and Friston restate the same line of work in terms of brain regions. On their reading, interoceptive predictive coding holds that the insular cortex combines low-level sensory prediction errors with interoceptive and attentional expectations4. This combination regulates affective salience and emotion. They cite Seth alongside Barrett and Simmons for this view, so the idea is presented as shared by more than one group4.
Tools and later citation
Moore and colleagues name MVGC, by Barnett and Seth (2014), as a software package for computing Granger causality. They use it as one example of a tool built for a single measure, which they contrast with a general framework5. Ciaunica, Shmeleva and Levin cite Seth and Tsakiris (2018) among works on brain and body. They say that how neural activity generates cognitive and mental states remains fairly open6.
An early example is found in the “interoceptive predictive coding” (IPC) hypothesis put forward by neuroscientist Anil Seth (Seth 2013; Seth et al. 2012).
Allen M, Friston KJ, 2018 · From cognitivism to autopoiesis: towards a computational framework for the… · open at passage 17Our model proposes that presence is the result of successful suppression by top-down predictions of informative interoceptive signals evoked (directly) by autonomic control signals and (indirectly) by bodily responses.
Allen M, Friston KJ, 2018 · From cognitivism to autopoiesis: towards a computational framework for the… · open at passage 17According to the model, disorders of presence follow from pathologically imprecise interoceptive predictive signals.
Allen M, Friston KJ, 2018 · From cognitivism to autopoiesis: towards a computational framework for the… · open at passage 17Interoceptive predictive coding thus argues that the insular cortex15 integrates low-level sensory prediction errors with interoceptive and attentional expectations to regulate affective salience and emotion
Allen M, Friston KJ, 2018 · From cognitivism to autopoiesis: towards a computational framework for the… · open at passage 20MVGC (Barnett and Seth, 2014) has been developed to compute Granger causality while ACSS (Gauvrit et al., 2016)
Moore DG, Valentini G, Walker SI, Levin M, 2018 · Inform: Efficient Information-Theoretic Analysis of Collective Behaviors · open at passage 4genetic manipulation and fluorescent labeling (Dennett, 1992; Damasio, 2000; Seth and Tsakiris, 2018), the question how exactly brain (i.e., neural) activity generates cognitive and mental states remains fairly open.
Ciaunica A, Shmeleva EV, Levin M, 2023 · The brain is not mental! coupling neuronal and immune cellular processing in… · open at passage 13
