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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders
Ryan Smith, Rayus Kuplicki, Justin S. Feinstein, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 12, pp. e1008484-e1008484
Open Access | Times Cited: 158

Showing 1-25 of 158 citing articles:

Towards a comprehensive assessment of interoception in a multi-dimensional framework
Chatrin Suksasilp, Sarah N. Garfinkel
Biological Psychology (2022) Vol. 168, pp. 108262-108262
Open Access | Times Cited: 170
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference
Casper Hesp, Ryan Smith, Thomas Parr, et al.
Neural Computation (2020) Vol. 33, Iss. 2, pp. 398-446
Open Access | Times Cited: 166
A step-by-step tutorial on active inference and its application to empirical data
Ryan Smith, Karl Friston, Christopher J. Whyte
Journal of Mathematical Psychology (2022) Vol. 107, pp. 102632-102632
Open Access | Times Cited: 160
Recent advances in the application of predictive coding and active inference models within clinical neuroscience
Ryan Smith, Paul B. Badcock, Karl Friston
Psychiatry and Clinical Neurosciences (2020) Vol. 75, Iss. 1, pp. 3-13
Open Access | Times Cited: 140
Interoceptive pathways to understand and treat mental health conditions
Camilla L. Nord, Sarah N. Garfinkel
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 6, pp. 499-513
Open Access | Times Cited: 121
The heart rate discrimination task: A psychophysical method to estimate the accuracy and precision of interoceptive beliefs
Nicolas Legrand, Niia Nikolova, Camile Maria Costa Correa, et al.
Biological Psychology (2021) Vol. 168, pp. 108239-108239
Open Access | Times Cited: 108
Interoception of breathing and its relationship with anxiety
Olivia K. Harrison, Laura Köchli, Stephanie Marino, et al.
Neuron (2021) Vol. 109, Iss. 24, pp. 4080-4093.e8
Open Access | Times Cited: 107
In the Body’s Eye: The computational anatomy of interoceptive inference
Micah Allen, Andrew R. Levy, Thomas Parr, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010490-e1010490
Open Access | Times Cited: 102
Computational psychiatry: from synapses to sentience
Karl Friston
Molecular Psychiatry (2022) Vol. 28, Iss. 1, pp. 256-268
Open Access | Times Cited: 78
Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference
Alexander Tschantz, Laura Barca, Domenico Maisto, et al.
Biological Psychology (2022) Vol. 169, pp. 108266-108266
Open Access | Times Cited: 71
Beyond simple laboratory studies: Developing sophisticated models to study rich behavior
Antonella Maselli, Jeremy Gordon, Mattia Eluchans, et al.
Physics of Life Reviews (2023) Vol. 46, pp. 220-244
Open Access | Times Cited: 41
Interoception as modeling, allostasis as control
Eli Sennesh, Jordan E. Theriault, Dana H. Brooks, et al.
Biological Psychology (2021) Vol. 167, pp. 108242-108242
Open Access | Times Cited: 71
Perceptual insensitivity to the modulation of interoceptive signals in depression, anxiety, and substance use disorders
Ryan Smith, Justin S. Feinstein, Rayus Kuplicki, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 58
From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology
Maxwell J. D. Ramstead, Anil K. Seth, Casper Hesp, et al.
Review of Philosophy and Psychology (2022) Vol. 13, Iss. 4, pp. 829-857
Open Access | Times Cited: 51
The new measures of interoceptive accuracy: A systematic review and assessment
Olivier Desmedt, Olivier Luminet, Marta Walentynowicz, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 153, pp. 105388-105388
Open Access | Times Cited: 40
Cognition as Morphological/Morphogenetic Embodied Computation In Vivo
Gordana Dodig-Crnković
Entropy (2022) Vol. 24, Iss. 11, pp. 1576-1576
Open Access | Times Cited: 38
Discrepancies in the Definition and Measurement of Human Interoception: A Comprehensive Discussion and Suggested Ways Forward
Olivier Desmedt, Olivier Luminet, Pierre Maurage, et al.
Perspectives on Psychological Science (2023)
Closed Access | Times Cited: 33
Interoception: Where do we go from here?
Jennifer Murphy
Quarterly Journal of Experimental Psychology (2023) Vol. 77, Iss. 2, pp. 223-229
Open Access | Times Cited: 29
The empirical status of predictive coding and active inference
Rowan Hodson, Marishka Mehta, Ryan Smith
Neuroscience & Biobehavioral Reviews (2023) Vol. 157, pp. 105473-105473
Closed Access | Times Cited: 29
An active inference model of hierarchical action understanding, learning and imitation
Riccardo Proietti, Giovanni Pezzulo, Alessia Tessari
Physics of Life Reviews (2023) Vol. 46, pp. 92-118
Open Access | Times Cited: 24
Transcutaneous auricular vagus nerve stimulation modulates the processing of interoceptive prediction error signals and their role in allostatic regulation
Carlos Ventura‐Bort, Mathias Weymar
Human Brain Mapping (2024) Vol. 45, Iss. 3
Open Access | Times Cited: 11
A computationally informed distinction of interoception and exteroception
Birte Toussaint, Jakob Heinzle, Klaas Ε. Stephan
Neuroscience & Biobehavioral Reviews (2024) Vol. 159, pp. 105608-105608
Open Access | Times Cited: 11
Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain
Rotem Botvinik‐Nezer, Bogdan Petre, Marta Čeko, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Neural representation in active inference: Using generative models to interact with—and understand—the lived world
Giovanni Pezzulo, Leo D’Amato, Francesco Mannella, et al.
Annals of the New York Academy of Sciences (2024) Vol. 1534, Iss. 1, pp. 45-68
Open Access | Times Cited: 10
Bayesianism and wishful thinking are compatible
David Melnikoff, Nina Strohminger
Nature Human Behaviour (2024) Vol. 8, Iss. 4, pp. 692-701
Closed Access | Times Cited: 9
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