Active Inference · Paper · 2022

Interoception as modeling, allostasis as control

Eli Sennesh, Jordan Theriault, Dave Douglass, Ian Tennant, Dean Tickles, Daniel Friedman

Zenodo

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Overview

Transcript of discussions of the 2022 paper “Interoception as modeling, allostasis as control” by Eli Sennesh, Jordan Theriault, Dana Brooks, Jan-Willemvan de Meent, Lisa Feldman Barrett, & Karen S. Quigley https://www.sciencedirect.com/science/article/abs/pii/S0301051121002350 Session 050.0, October 17, 2022 https://www.youtube.com/watch?v=l7r0ISlr-Hc Session 050.1, October 20, 2022 https://www.youtube.com/watch?v=tGd-mgSdbio Session 050.2, November 3, 2022 https://www.youtube.com/watch?v=4o-LmkycAC0

Overview source: Curated paper metadata.

Methods and contributions

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Findings and contributions

  • As read in the session, the paper proposes studying allostasis in terms of control theory, with interoception providing performance feedback for allostasis.
  • Sennesh says the motivation was that real biological prior preferences cannot be fixed, raising how much must be learned over development rather than built in.
  • Sennesh summarizes that the model yields a notion of affordance competition via forward simulations of trajectories evaluated over time.
  • Sennesh states that normalizing to probability densities gives a common currency, so the model needs no separate reward currency.
  • Sennesh notes whether interoception is predictively coded below the neck remains an open empirical question.

Methods

  • Transcripts of ActInf Livestream #050 sessions (50.0, 50.1, 50.2) — Records three Active Inference Institute livestream discussions (Oct-Nov 2022) of the Biological Psychology paper 'Interoception as modeling, allostasis as control'.
  • Background walkthrough by Friedman and Tickles (50.0) — In 50.0 the hosts reviewed the paper's big questions, aims, abstract and roadmap before later sessions with authors.
  • Author slide presentation by Eli Sennesh with Jordan Theriault (50.1) — Paper co-authors presented the model (Section 4: allostasis as stochastic optimal control) and took questions from participants.

Summary sources: Paper metadata and evidence · Extracted source text.

Citation

Citation metadata follows the unified bibliography.

Sennesh, Eli; Theriault, Jordan; Douglass, Dave; Tennant, Ian; Tickles, Dean; Friedman, Daniel. 2022. Interoception as modeling, allostasis as control. Zenodo. DOI: 10.5281/zenodo.7400708. URL: https://doi.org/10.5281/zenodo.7400708.
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Catalog details and resources

Catalog row141
Citation keyFriedman2022InteroceptionAsModelingAllostasis141
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