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  1. Allen, M., Levy, A., Parr, T., & Friston, K. J. (2022). In the Body’s Eye: The computational anatomy of interoceptive inference. PLOS Computational Biology, 18(9), e1010490. https://doi.org/10.1371/journal.pcbi.1010490

  2. Luettich, A., Sievers, C., Almagro, F. A., Allen, M., Jbabdi, S., Smith, S. M., & Pattinson, K. T. S. (2022). Functional connectivity between interoceptive brain regions is associated with distinct health-related domains—A population-based neuroimaging study (p. 2022.07.27.500935). bioRxiv. https://doi.org/10.1101/2022.07.27.500935

  3. Heck, D. H., Correia, B. L., Fox, M. B., Liu, Y., Allen, M., & Varga, S. (2022). Recent insights into respiratory modulation of brain activity offer new perspectives on cognition and emotion. Biological Psychology, 170, 108316. https://doi.org/10.1016/j.biopsycho.2022.108316

  4. Nikolova, N., Harrison, O., Toohey, S., Brændholt, M., Legrand, N., Correa, C., Vejlø, M., Jensen, M. S., Fardo, F., & Allen, M. (2022). The respiratory resistance sensitivity task: An automated method for quantifying respiratory interoception and metacognition. Biological Psychology, 170, 108325. https://doi.org/10.1016/j.biopsycho.2022.108325

  5. Legrand, N., Nikolova, N., Correa, C., Brændholt, M., Stuckert, A., Kildahl, N., Vejlø, M., Fardo, F., & Allen, M. (2022). The heart rate discrimination task: A psychophysical method to estimate the accuracy and precision of interoceptive beliefs. Biological Psychology, 168, 108239. https://doi.org/10.1016/j.biopsycho.2021.108239

  6. Allen, M. (2022). The seductive allure of cargo cult computationalism. Behavioral and Brain Sciences, 45, e185. Cambridge Core. https://doi.org/10.1017/S0140525X22000279

  7. Allen, M., Hauser, T. U., Schwarzkopf, D. S., Dolan, R. J., & Rees, G. (2022). Uncertain Precision: Neurobiological and Physiological Correlates of Conservative Confidence Bias. BioRxiv.

  8. Allen, M., Varga, S., & Heck, D. H. (2022). Respiratory rhythms of the predictive mind. Psychological Review. https://doi.org/10.1037/rev0000391

  9. Legrand, N., & Allen, M. (2022). Systole: A python package for cardiac signal synchrony and analysis. Journal of Open Source Software, 7(69), 3832.

  10. Williamson, S., Daniel-Watanabe, L., Finnemann, J., Powell, C., Teed, A., Allen, M., Paulus, M., Khalsa, S., & Fletcher, P. (2022). The Hybrid Excess and Decay (HED) model: An automated approach to characterising changes in the photoplethysmography pulse waveform [version 1; peer review: Awaiting peer review]. Wellcome Open Research, 7(214). https://doi.org/10.12688/wellcomeopenres.17855.1

  11. Allen, M. (2021). True belief and the ramifications of introspection in scientific discovery. Nature Human Behaviour, 5(12), Article 12. https://doi.org/10.1038/s41562-021-01234-1

  12. Harrison, O. K., Garfinkel, S. N., Marlow, L., Finnegan, S. L., Marino, S., Köchli, L., Allen, M., Finnemann, J., Keur-Huizinga, L., Harrison, S. J., Stephan, K. E., Pattinson, K. T. S., & Fleming, S. M. (2021). The Filter Detection Task for measurement of breathing-related interoception and metacognition. Biological Psychology, 165, 108185. https://doi.org/10.1016/j.biopsycho.2021.108185

  13. Nikolova, N., Waade, P. T., Friston, K. J., & Allen, M. (2021). What Might Interoceptive Inference Reveal about Consciousness? Review of Philosophy and Psychology. https://doi.org/10.1007/s13164-021-00580-3

  14. Duerler, P., Brem, S., Fraga-González, G., Neef, T., Allen, M., Zeidman, P., Stämpfli, P., Vollenweider, F. X., & Preller, K. H. (2021). Psilocybin Induces Aberrant Prediction Error Processing of Tactile Mismatch Responses—A Simultaneous EEG–FMRI Study. Cerebral Cortex, bhab202. https://doi.org/10.1093/cercor/bhab202

  15. Legrand, N., Engen, S. S., Correa, C. M. C., Mathiasen, N. K., Nikolova, N., Fardo, F., & Allen, M. (2021). Emotional metacognition: Stimulus valence modulates cardiac arousal and metamemory. Cognition and Emotion, 35(4), 705–721. https://doi.org/10.1080/02699931.2020.1859993

  16. Hesp, C., Smith, R., Parr, T., Allen, M., Friston, K. J., & Ramstead, M. J. D. (2021). Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Computation, 33(2), 398–446. https://doi.org/10.1162/neco_a_01341

  17. Fardo, F., Beck, B., Allen, M., & Finnerup, N. B. (2020). Beyond labeled lines: A population coding account of the thermal grill illusion. Neuroscience & Biobehavioral Reviews, 108, 472–479. https://doi.org/10.1016/j.neubiorev.2019.11.017

  18. Allen, M. (2020). Unravelling the Neurobiology of Interoceptive Inference. Trends in Cognitive Sciences.

  19. Allen, M., Legrand, N., Correa, C. M. C., & Fardo, F. (2020). Thinking through prior bodies: Autonomic uncertainty and interoceptive self-inference. Behavioral and Brain Sciences, 43. https://doi.org/10.1017/S0140525X19002899

  20. Murphy, C., Poerio, G., Sormaz, M., Wang, H.-T., Vatansever, D., Allen, M., Margulies, D. S., Jefferies, E., & Smallwood, J. (2019). Hello, is that me you are looking for? A re-examination of the role of the DMN in social and self relevant aspects of off-task thought. PLoS ONE, 14(11). https://doi.org/10.1371/journal.pone.0216182

  21. Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., & Kievit, R. A. (2019). Raincloud plots: A multi-platform tool for robust data visualization. Wellcome Open Research, 4, 63. https://doi.org/10.12688/wellcomeopenres.15191.1

  22. Carey, D., Caprini, F., Allen, M., Lutti, A., Weiskopf, N., Rees, G., Callaghan, M. F., & Dick, F. (2018). Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure. NeuroImage, 182, 429–440. https://doi.org/10.1016/j.neuroimage.2017.11.066

  23. Rouault, M., McWilliams, A., Allen, M. G., & Fleming, S. M. (2018). Human metacognition across domains: Insights from individual differences and neuroimaging. Personality Neuroscience, 1. https://doi.org/10.1017/pen.2018.16

  24. Owens, A. P., Allen, M., Ondobaka, S., & Friston, K. J. (2018). Interoceptive inference: From computational neuroscience to clinic. Neuroscience & Biobehavioral Reviews, 90, 174–183. https://doi.org/10.1016/j.neubiorev.2018.04.017

  25. Allen, M., & Friston, K. J. (2018). From cognitivism to autopoiesis: Towards a computational framework for the embodied mind. Synthese, 195(6), 2459–2482. https://doi.org/10.1007/s11229-016-1288-5

  26. Gallagher, S., & Allen, M. (2018). Active inference, enactivism and the hermeneutics of social cognition. Synthese, 195(6), 2627–2648. https://doi.org/10.1007/s11229-016-1269-8

  27. Allen, M. (2018). The foundation: Mechanism, prediction, and falsification in Bayesian enactivism: Comment on “Answering Schrödinger’s question: A free-energy formulation” by Maxwell James Désormeau Ramstead et al. Physics of Life Reviews, 24, 17–20. https://doi.org/10.1016/j.plrev.2018.01.007

  28. Allen, M., & Tsakiris, M. (2018). The body as first prior: Interoceptive predictive processing and the primacy of self-models. In The Interoceptive Mind. Oxford University Press. https://doi.org/10.1093/oso/9780198811930.003.0002

  29. Marshall, C. R., Hardy, C. J. D., Allen, M., Russell, L. L., Clark, C. N., Bond, R. L., Dick, K. M., Brotherhood, E. V., Rohrer, J. D., Kilner, J. M., & Warren, J. D. (2018). Cardiac responses to viewing facial emotion differentiate frontotemporal dementias. Annals of Clinical and Translational Neurology, 5(6), 687–696. https://doi.org/10.1002/acn3.563

  30. Hauser, T. U., Allen, M., Rees, G., & Dolan, R. J. (2017). Metacognitive impairments extend perceptual decision making weaknesses in compulsivity. Scientific Reports, 7(1), 6614. https://doi.org/10.1038/s41598-017-06116-z

  31. Fardo, F., Auksztulewicz, R., Allen, M., Dietz, M. J., Roepstorff, A., & Friston, K. J. (2017). Expectation violation and attention to pain jointly modulate neural gain in somatosensory cortex. NeuroImage, 153, 109–121. https://doi.org/10.1016/j.neuroimage.2017.03.041

  32. Allen, M., Glen, J. C., Müllensiefen, D., Schwarzkopf, D. S., Fardo, F., Frank, D., Callaghan, M. F., & Rees, G. (2017). Metacognitive ability correlates with hippocampal and prefrontal microstructure. NeuroImage, 149, 415–423. https://doi.org/10.1016/j.neuroimage.2017.02.008

  33. Allen, M., Frank, D., Glen, J. C., Fardo, F., Callaghan, M. F., & Rees, G. (2017). Insula and somatosensory cortical myelination and iron markers underlie individual differences in empathy. Scientific Reports, 7, 43316. https://doi.org/10.1038/srep43316

  34. Fardo, F., Vinding, M. C., Allen, M., Jensen, T. S., & Finnerup, N. B. (2017). Delta and gamma oscillations in operculo-insular cortex underlie innocuous cold thermosensation. Journal of Neurophysiology, 117(5), 1959–1968. https://doi.org/10.1152/jn.00843.2016

  35. Kumar, S., Tansley-Hancock, O., Sedley, W., Winston, J. S., Callaghan, M. F., Allen, M., Cope, T. E., Gander, P. E., Bamiou, D.-E., & Griffiths, T. D. (2017). The Brain Basis for Misophonia. Current Biology, 27(4), 527–533. https://doi.org/10.1016/j.cub.2016.12.048

  36. Hauser, T. U., Allen, M., Purg, N., Moutoussis, M., Rees, G., & Dolan, R. J. (2017). Noradrenaline blockade specifically enhances metacognitive performance. ELife, 6. https://doi.org/10.7554/eLife.24901

  37. Allen, M., Fardo, F., Dietz, M. J., Hillebrandt, H., Friston, K. J., Rees, G., & Roepstorff, A. (2016). Anterior insula coordinates hierarchical processing of tactile mismatch responses. NeuroImage, 127, 34–43. https://doi.org/10.1016/j.neuroimage.2015.11.030

  38. Fardo, F., Allen, M., Jegindø, E.-M. E., Angrilli, A., & Roepstorff, A. (2015). Neurocognitive evidence for mental imagery-driven hypoalgesic and hyperalgesic pain regulation. NeuroImage, 120, 350–361. https://doi.org/10.1016/j.neuroimage.2015.07.008

  39. Ma, Y., Bang, D., Wang, C., Allen, M., Frith, C., Roepstorff, A., & Han, S. (2014). Sociocultural patterning of neural activity during self-reflection. Social Cognitive and Affective Neuroscience, 9(1), 73–80. https://doi.org/10.1093/scan/nss103

  40. Allen, M., Smallwood, J., Christensen, J., Gramm, D., Rasmussen, B., Gaden Jensen, C., Roepstorff, A., & Lutz, A. (2013). The balanced mind: The variability of task-unrelated thoughts predicts error-monitoring. Frontiers in Human Neuroscience, 7. https://doi.org/10.3389/fnhum.2013.00743

  41. Allen, M., Dietz, M., Blair, K. S., Beek, M. van, Rees, G., Vestergaard-Poulsen, P., Lutz, A., & Roepstorff, A. (2012). Cognitive-Affective Neural Plasticity following Active-Controlled Mindfulness Intervention. Journal of Neuroscience, 32(44), 15601–15610. https://doi.org/10.1523/JNEUROSCI.2957-12.2012

  42. Tylen, K., Allen, M., Hunter, B. K., & Roepstorff, A. (2012). Interaction vs. observation: Distinctive modes of social cognition in human brain and behavior? A combined fMRI and eye-tracking study. Frontiers in Human Neuroscience, 6. https://doi.org/10.3389/fnhum.2012.00331

  43. Allen, M., & Williams, G. (2011). Consciousness, Plasticity, and Connectomics: The Role of Intersubjectivity in Human Cognition. Frontiers in Psychology, 2. https://doi.org/10.3389/fpsyg.2011.00020

Alexander Pope

A Little Learning
"A little learning is a dangerous thing ;

Drink deep, or taste not the Pierian spring :

There shallow draughts intoxicate the brain,

And drinking largely sobers us again.

Fired at first sight with what the Muse imparts,

In fearless youth we tempt the heights of Arts ;

While from the bounded level of our mind

Short views we take, nor see the lengths behind,

But, more advanced, behold with strange surprise

New distant scenes of endless science rise !

So pleased at first the towering Alps we try,

Mount o’er the vales, and seem to tread the sky ;

The eternal snows appear already past,

And the first clouds and mountains seem the last ;

But those attained, we tremble to survey

The growing labours of the lengthened way ;

The increasing prospect tires our wandering eyes,

Hills peep o’er hills, and Alps on Alps arise !"

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