A duet for one.
Open accessAbstract
This paper considers communication in terms of inference about the behaviour of others (and our own behaviour). It is based on the premise that our sensations are largely generated by other agents like ourselves. This means, we are trying to infer how our sensations are caused by others, while they are trying to infer our behaviour: for example, in the dialogue between two speakers. We suggest that the infinite regress induced by modelling another agent - who is modelling you - can be finessed if you both possess the same model. In other words, the sensations caused by others and oneself are generated by the same process. This leads to a view of communication based upon a narrative that is shared by agents who are exchanging sensory signals. Crucially, this narrative transcends agency - and simply involves intermittently attending to and attenuating sensory input. Attending to sensations enables the shared narrative to predict the sensations generated by another (i.e. to listen), while attenuating sensory input enables one to articulate the narrative (i.e. to speak). This produces a reciprocal exchange of sensory signals that, formally, induces a generalised synchrony between internal (neuronal) brain states generating predictions in both agents. We develop the arguments behind this perspective, using an active (Bayesian) inference framework and offer some simulations (of birdsong) as proof of principle.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Using the same models to explain our own behavior and the observed consequences of another's behavior brings an extra inference problem: the attribution of agency.
“This brings with it an extra inference problem; namely, the attribution of agency. In other words, if we use the same models to explain our own behavior and the observed consequences of another’s behavior, then we also have to carefully infer agency (in order to appropriately attenuate proprioceptive precision and preclude echopraxia, Friston and Frith, 2015).”
From 'Seeing the Dark': Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference (2018) · cites this paper as Friston and Frith, 2015
The Conclusion says the same generative models can be used to infer one’s own behaviour and another’s, while the Summary treats agency as a contextual factor determined by sensory attenuation and proprioceptive precision. This supports the claimed need to distinguish the source of behaviour. The cited paper does not, in the passages found, connect that inference to preventing echopraxia; its Conclusion also says the orchestration of precision in communication was not dealt with there. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · see citing works
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · see citing works
The weak coherence account: detail-focused cognitive style in autism spectrum disorders
Happé, F., & Frith, U. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0039-0 · Cited by 2,884 · see citing works
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421 · cited 1× · see citing works
“In a companion paper (Friston & Frith, 2015), we demonstrate how communication facilitates long-term changes in generative models that are trying to predict each other.”
BackgroundSelf-citationHohwy, J. (2013) · doi:10.1093/acprof:oso/9780199682737.001.0001 · Cited by 1,914 · see citing works
Foundations of Language: Brain, Meaning, Grammar, Evolution
Jackendoff, R. S. (2002) · Cited by 1,858 · see citing works
Interoceptive inference, emotion, and the embodied self
Seth, A. K. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.007 · Cited by 1,816 · cited 1× · see citing works
“A particularly interesting issue here is interoceptive inference (Seth, 2013), and how visual cues about the emotional states of others can be interpreted in relation to generative models of our own interoceptive cues: see (Kanaya, Matsushima, & Yokosawa, 2012).”
BackgroundPredictive coding under the free-energy principle
Friston, K., & Kiebel, S. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0300 · Cited by 1,579 · see citing works
Self-citationHierarchical Bayesian inference in the visual cortex
Lee, T. S., & Mumford, D. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001434 · Cited by 1,473 · cited 3× · see citing works
“…been formalised in recent decades to cover deep or hierarchical Bayesian inference – about the causes of our sensations – and how these inferences induce beliefs, movement and behaviour (Clark, 2013b; Dayan, Hinton, & Neal, 1995; Friston, Kilner, & Harrison, 2006; Hohwy, 2013; Lee & Mumford, 2003).”
BackgroundPerceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia
Fletcher, P. C., & Frith, C. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2536 · Cited by 1,462 · see citing works
Self-citationA free energy principle for the brain
Friston, K., Kilner, J., & Harrison, L. (2006) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2006.10.001 · Cited by 1,369 · see citing works
Self-citationAttention, uncertainty, and free-energy
Feldman, H., & Friston, K. J. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00215 · Cited by 1,365 · see citing works
Self-citationDayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation · doi:10.1162/neco.1995.7.5.889 · Cited by 1,207 · see citing works
When the world becomes ‘too real’: a Bayesian explanation of autistic perception
Pellicano, E., & Burr, D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.009 · Cited by 1,156 · see citing works
Predictive coding: an account of the mirror neuron system
Kilner, J. M., Friston, K. J., & Frith, C. D. (2007) · Cognitive Processing · doi:10.1007/s10339-007-0170-2 · Cited by 1,134 · see citing works
Self-citationCortical mechanisms of action selection: the affordance competition hypothesis
Cisek, P. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2054 · Cited by 1,077 · see citing works
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · cited 2× · see citing works
“We pursue exactly the same theme; however, in the context of active inference.”
BackgroundPredictive coding: a fresh view of inhibition in the retina
Srinivasan, M. V., Laughlin, S. B., & Dubs, A. (1982) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1982.0085 · Cited by 1,042 · see citing works
Hierarchical Models in the Brain
Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000211 · Cited by 952 · cited 4× · see citing works
“This form of hierarchical inference explains a large number of anatomical and physiological facts as reviewed elsewhere (Adams et al., 2012; Bastos et al., 2012; Friston, 2008).”
BackgroundMethodInfluentialSelf-citationOn the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929 · see citing works
Action understanding as inverse planning
Baker, C. L., Saxe, R., & Tenenbaum, J. B. (2009) · Cognition · doi:10.1016/j.cognition.2009.07.005 · Cited by 920 · see citing works
Precise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885 · see citing works
Predicting pragmatic reasoning in language games
Frank, M. C., & Goodman, N. D. (2012) · Science · doi:10.1126/science.1218633 · Cited by 868 · see citing works
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · cited 1× · see citing works
“See (Adams et al., 2013) for a more general discussion of precision in the context of psychopathology.”
BackgroundSelf-citationPredictions not commands: Active inference in the motor system
Adams, R. A., Shipp, S., & Friston, K. J. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0475-5 · Cited by 765 · see citing works
Self-citationFriston, K. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0475 · Cited by 754 · see citing works
Self-citationA Hierarchy of Time-Scales and the Brain
Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000209 · Cited by 694 · see citing works
Self-citationAction understanding and active inference
Friston, K., Mattout, J., & Kilner, J. (2011) · Biological Cybernetics · doi:10.1007/s00422-011-0424-z · Cited by 665 · see citing works
Self-citationDoya, K. (2008) · Nature Neuroscience · doi:10.1038/nn2077 · Cited by 642 · see citing works
An aberrant precision account of autism
Lawson, R. P., Rees, G., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00302 · Cited by 641 · see citing works
Self-citationSocial and Cognitive Correlates of Children’s Lying Behavior
Talwar, V., & Lee, K. (2008) · Child Development · doi:10.1111/j.1467-8624.2008.01164.x · Cited by 537 · see citing works
Cognition and control in schizophrenia: a computational model of dopamine and prefrontal function
Braver, T. S., Barch, D. M., & Cohen, J. D. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00116-x · Cited by 507 · see citing works
Active inference, sensory attenuation and illusions
Brown, H., Adams, R. A., Parees, I., Edwards, M., & Friston, K. (2013) · Cognitive Processing · doi:10.1007/s10339-013-0571-3 · Cited by 488 · see citing works
Self-citationAn oscillator model of the timing of turn-taking
Wilson, M., & Wilson, T. P. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03206432 · Cited by 483 · see citing works
Transient Dynamics for Neural Processing
Rabinovich, M., Huerta, R., & Laurent, G. (2008) · Science · doi:10.1126/science.1155564 · Cited by 458 · see citing works
Fries, P., Womelsdorf, T., Oostenveld, R., & Desimone, R. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4499-07.2008 · Cited by 458 · see citing works
Knowledge and Implicature: Modeling Language Understanding as Social Cognition
Goodman, N. D., & Stuhlmüller, A. (2013) · Topics in Cognitive Science · doi:10.1111/tops.12007 · Cited by 405 · see citing works
Joint Action, Interactive Alignment, and Dialog
Garrod, S., & Pickering, M. J. (2009) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01020.x · Cited by 402 · see citing works
Lidow, M. S., Goldman-Rakic, P. S., Gallager, D. W., & Rakic, P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90003-7 · Cited by 394 · see citing works
Dopamine, affordance and active inference
Friston, K. J., Shiner, T., FitzGerald, T., Galea, J. M., Adams, R., Brown, H., Dolan, R. J., Moran, R., Stephan, K. E., & Bestmann, S. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002327 · Cited by 381 · see citing works
Self-citationEarly electrophysiological indicators for predictive processing in audition: A review
Bendixen, A., SanMiguel, I., & Schröger, E. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.08.003 · Cited by 331 · see citing works
Précis of Foundations of Language: Brain, Meaning, Grammar, Evolution,
Jackendoff, R. S. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000153 · Cited by 330 · see citing works
On the Notion of Entropy of a Dynamical System
Nai, Y.-S. G. (2010) · Springer eBooks · doi:10.1007/978-0-387-87870-6_1 · Cited by 328 · see citing works
Yates, A. J. (1963) · Psychological Bulletin · doi:10.1037/h0044155 · Cited by 319 · see citing works
Free Energy, Precision and Learning: The Role of Cholinergic Neuromodulation
Moran, R. J., Campo, P., Symmonds, M., Stephan, K. E., Dolan, R. J., & Friston, K. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4255-12.2013 · Cited by 312 · see citing works
Self-citationHamlin, J. K., Ullman, T. D., Tenenbaum, J. B., Goodman, N. D., & Baker, C. L. (2013) · Developmental Science · doi:10.1111/desc.12017 · Cited by 271 · see citing works
A rational account of pedagogical reasoning: Teaching by, and learning from, examples
Shafto, P., Goodman, N. D., & Griffiths, T. L. (2014) · Cognitive Psychology · doi:10.1016/j.cogpsych.2013.12.004 · Cited by 266 · see citing works
Active inference, communication and hermeneutics
Friston, K. J., & Frith, C. D. (2015) · Cortex · doi:10.1016/j.cortex.2015.03.025 · Cited by 266 · cited 1× · see citing works
“In a companion paper (Friston & Frith, 2015), we demonstrate how communication facilitates long-term changes in generative models that are trying to predict each other.”
BackgroundSelf-citationSensory signals during active versus passive movement
Cullen, K. E. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.002 · Cited by 262 · see citing works
Sensory perception during movement in man
Chapman, C. E., Bushnell, M. C., Miron, D., Duncan, G. H., & Lund, J. P. (1987) · Experimental Brain Research · doi:10.1007/bf00249795 · Cited by 246 · see citing works
Reflections on agranular architecture: predictive coding in the motor cortex
Shipp, S., Adams, R. A., & Friston, K. J. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.09.004 · Cited by 239 · see citing works
Self-citationPerceptual illusions and brain models
Gregory, R. L. (1968) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1968.0071 · Cited by 237 · see citing works
Dynamics of a neural system with a multiscale architecture
Breakspear, M. J., & Stam, C. J. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1643 · Cited by 205 · see citing works
Differentiable generalized synchronization of chaos
Hunt, B. R., Ott, E., & Yorke, J. A. (1997) · Physical Review E · doi:10.1103/physreve.55.4029 · Cited by 201 · see citing works
Seeing other minds: Attributed mental states influence perception
Teufel, C., Fletcher, P. C., & Davis, G. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.005 · Cited by 199 · see citing works
Effects of Alterations in Auditory Feedback and Speech Rate on Stuttering Frequency
Kalinowski, J. S., Armson, J., Stuart, A., & Gracco, V. L. (1993) · Language and Speech · doi:10.1177/002383099303600101 · Cited by 196 · see citing works
The role of prediction in social neuroscience
Brown, E. C., & Brüne, M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00147 · Cited by 190 · see citing works
Friston, K., Stephan, K., Li, B., & Daunizeau, J. (2010) · Mathematical Problems in Engineering · doi:10.1155/2010/621670 · Cited by 171 · see citing works
Self-citationThe anatomy of dopamine in monkey and human prefrontal cortex
Goldman‐Rakic, P. S., Lidow, M. S., Smiley, J. F., & Williams, M. S. (1992) · Springer eBooks · doi:10.1007/978-3-7091-9211-5_8 · Cited by 169 · see citing works
Frank, M. J., Scheres, A., & Sherman, S. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2058 · Cited by 164 · see citing works
Subject's own speech reduces reactivity of the human auditory cortex
Numminen, J., Salmelin, R., & Hari, R. (1999) · Neuroscience Letters · doi:10.1016/s0304-3940(99)00218-9 · Cited by 163 · see citing works
Neuronal coherence during selective attentional processing and sensory–motor integration
Womelsdorf, T., & Fries, P. (2006) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2007.01.005 · Cited by 156 · see citing works
Perspective-Taking and its Foundation in Joint Attention
Moll, H., & Meltzoff, A. N. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199692040.003.0016 · Cited by 147 · see citing works
Attention Sharpens the Distinction between Expected and Unexpected Percepts in the Visual Brain
Jiang, J., Summerfield, C., & Egner, T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3308-13.2013 · Cited by 133 · see citing works
Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit
Humphries, M. D., Wood, R., & Gurney, K. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.018 · Cited by 129 · see citing works
Thalamic pathways for active vision
Wurtz, R. H., McAlonan, K., Cavanaugh, J., & Berman, R. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.02.004 · Cited by 127 · see citing works
Recognizing Sequences of Sequences
Kiebel, S. J., von Kriegstein, K., Jean Daunizeau, A., & Friston, K. J. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000464 · Cited by 114 · see citing works
Self-citationClark, A. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00270 · Cited by 108 · see citing works
Mindlin, G., & Laje, R. (2005) · Springer eBooks · doi:10.1007/3-540-28249-1 · Cited by 88 · see citing works
Encyclopedia of Philosophy and the Social Sciences
Kaldis, B. (2013) · Sage eBooks · doi:10.4135/9781452276052 · Cited by 70 · see citing works
Active inference, eye movements and oculomotor delays
Perrinet, L., Adams, R. A., & Friston, K. J. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0620-8 · Cited by 69 · see citing works
Self-citationMental Action Simulation Synchronizes Action–Observation Circuits across Individuals
Nummenmaa, L., Smirnov, D., Lahnakoski, J. M., Glerean, E., Jääskeläinen, I. P., Sams, M. E., & Hari, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0352-13.2014 · Cited by 55 · see citing works
Hanuschkin, A., Ganguli, S., & Hahnloser, R. H. R. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00106 · Cited by 54 · see citing works
The geometry of chaos synchronization
Barreto, E., Josić́, K., Morales, C. J., Sander, E., & So, P. (2003) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.1512927 · Cited by 36 · see citing works
Grounding predictive coding models in empirical neuroscience research
Egner, T., & Summerfield, C. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1200218x · Cited by 36 · see citing works
Does Seeing Ice Really Feel Cold? Visual-Thermal Interaction under an Illusory Body-Ownership
Kanaya, S., Matsushima, Y., & Yokosawa, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047293 · Cited by 35 · see citing works
Neural correlates of ideomotor effect anticipations
Pfister, R., Melcher, T., Kiesel, A., Dechent, P., & Gruber, O. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.11.061 · Cited by 20 · see citing works
Direct social perception, mindreading and Bayesian predictive coding
de Bruin, L., & Strijbos, D. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2015.04.014 · Cited by 19 · see citing works
Sir Charles Bell on Visual Direction
Wade, N. J. (1978) · Perception · doi:10.1068/p070359 · Cited by 11 · see citing works
Frith, C., & Wentzer, T. S. (2013) · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
1 of the 82 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Clark A. The many faces of precision Frontiers in Psychology 4 2013 270 23734133 PMC3659294
- Hunt B. Ott E. Yorke J. Differentiable synchronisation of chaos Physical Review E 55 1997 4029 4034
- Mumford D. On the computational architecture of the neocortex. II Biological Cybernetics 66 1992 241 251 1540675
Cited by
Sorted by citations
Ramstead, M. J. D., Veissière, S. P. L., & Kirmayer, L. J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01090 · Cited by 422 · see citing works
Vuust, P., Heggli, O. A., Friston, K. J., & Kringelbach, M. L. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00578-5 · Cited by 416 · see citing works
Self-citationCentrality of social interaction in human brain function.
Hari, R., Henriksson, L., Malinen, S., & Parkkonen, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.022 · Cited by 370 · see citing works
Bruineberg, J., Kiverstein, J., & Rietveld, E. (2018) · Synthese · doi:10.1007/s11229-016-1239-1 · Cited by 383 · see citing works
Active Inference, Curiosity and Insight
Friston, K. J., Lin, M., Frith, C., Pezzulo, G., Hobson, J. A., & Ondobaka, S. (2017) · Neural Computation · doi:10.1162/neco_a_00999 · Cited by 347 · see citing works
Self-citationActive inference, communication and hermeneutics
Friston, K. J., & Frith, C. D. (2015) · Cortex · doi:10.1016/j.cortex.2015.03.025 · Cited by 266 · see citing works
“As noted in (Friston and Frith, 2015), this simulation of omission-related responses as measured with ERPs (Bendixen, SanMiguel, & Schr€oger, 2012) is particularly interesting, given that non-invasive electromagnetic signals arise largely from superficial pyramidal cells.”
BackgroundMethodInfluentialSelf-citationActive inference, enactivism and the hermeneutics of social cognition
Gallagher, S., & Allen, M. (2016) · Synthese · doi:10.1007/s11229-016-1269-8 · Cited by 218 · see citing works
Am i self-conscious? (or does self-organization entail self-consciousness?)
Friston, K. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00579 · Cited by 197 · see citing works
Self-citationA variational approach to niche construction
Constant, A., Ramstead, M. J. D., Veissière, S. P. L., Campbell, J. O., & Friston, K. J. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0685 · Cited by 204 · see citing works
Self-citationLimanowski, J., & Friston, K. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00643 · Cited by 154 · see citing works
“In other words, if we use the same models to explain our own behavior and the observed consequences of another’s behavior, then we also have to carefully infer agency (in order to appropriately attenuate proprioceptive precision and preclude echopraxia, Friston and Frith, 2015).”
MethodSelf-citationBadcock, P. B., Friston, K. J., Ramstead, M. J. D., Ploeger, A., & Hohwy, J. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00721-3 · Cited by 166 · see citing works
Self-citationBolis, D., Balsters, J., Wenderoth, N., Becchio, C., & Schilbach, L. (2017) · Psychopathology · doi:10.1159/000484353 · Cited by 204 · see citing works
Gvirts, H. Z., & Perlmutter, R. (2019) · The Neuroscientist · doi:10.1177/1073858419861912 · Cited by 166 · see citing works
Kelsen, B. A., Sumich, A. L., Kasabov, N. K., Liang, S. H., & Wang, G. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.09.008 · Cited by 149 · see citing works
Confidence matching in group decision-making
Bang, D., Aitchison, L., Moran, R., Herce Castanon, S., Rafiee, B., Mahmoodi, A., Lau, J. Y. F., Latham, P. E., Bahrami, B., & Summerfield, C. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0117 · Cited by 141 · see citing works
Paranoia as a deficit in non-social belief updating
Reed, E., Uddenberg, S., Suthaharan, P., Mathys, C. D., Taylor, J. R., Groman, S. M., & Corlett, P. R. (2020) · eLife · doi:10.7554/elife.56345 · Cited by 135 · see citing works
A social Bayesian brain: how social knowledge can shape visual perception
Otten, M., Seth, A. K., & Pinto, Y. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2016.05.002 · Cited by 124 · see citing works
The body talks: Sensorimotor communication and its brain and kinematic signatures
Pezzulo, G., Donnarumma, F., Dindo, H., D’Ausilio, A., Konvalinka, I., & Castelfranchi, C. (2018) · Physics of Life Reviews · doi:10.1016/j.plrev.2018.06.014 · Cited by 131 · see citing works
Where There is Life There is Mind: In Support of a Strong Life-Mind Continuity Thesis
Kirchhoff, M. D., & Froese, T. (2017) · Entropy · doi:10.3390/e19040169 · Cited by 114 · see citing works
Path integrals, particular kinds, and strange things
Friston, K. J., Costa, L. D., Sakthivadivel, D. A. R., Heins, C., Pavliotis, G. A., Ramstead, M. J. D., & Parr, T. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.08.016 · Cited by 122 · see citing works
Self-citationAlignment in social interactions
Gallotti, M., Fairhurst, M. T., & Frith, C. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.12.002 · Cited by 114 · see citing works
Self-citationUnconscious emotion: A cognitive neuroscientific perspective
Smith, R. S., & Lane, R. D. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.013 · Cited by 113 · see citing works
Collective music listening: Movement energy is enhanced by groove and visual social cues
Dotov, D. G., Bosnyak, D. J., & Trainor, L. J. (2021) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021821991793 · Cited by 103 · see citing works
Generative models, linguistic communication and active inference
Friston, K. J., Parr, T., Yufik, Y. M., Sajid, N., Price, C. J., & Holmes, E. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.005 · Cited by 113 · see citing works
Self-citationActive inference as a theory of sentient behavior
Pezzulo, G., Parr, T., & Friston, K. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108741 · Cited by 109 · see citing works
Self-citationEmbodiment and Schizophrenia: A Review of Implications and Applications
Tschacher, W., Giersch, A., & Friston, K. J. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw220 · Cited by 104 · see citing works
Self-citationFree-energy minimization in joint agent-environment systems: A niche construction perspective
Bruineberg, J. P., Rietveld, E., Parr, T., van Maanen, L., & Friston, K. J. (2018) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2018.07.002 · Cited by 98 · see citing works
Self-citationA Kuramoto model of self-other integration across interpersonal synchronization strategies
Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P., & Kringelbach, M. (2019) · bioRxiv · doi:10.1371/journal.pcbi.1007422 · Cited by 95 · see citing works
Representation Wars: Enacting an Armistice Through Active Inference
Constant, A., Clark, A., & Friston, K. J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.598733 · Cited by 97 · see citing works
Self-citationFriston, K. J., Sajid, N., Quiroga‐Martinez, D. R., Parr, T., Price, C. J., & Holmes, E. (2020) · Hearing Research · doi:10.1016/j.heares.2020.107998 · Cited by 102 · see citing works
Self-citationA World Unto Itself: Human Communication as Active Inference
Vasil, J., Badcock, P. B., Constant, A., Friston, K. J., & Ramstead, M. J. D. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00417 · Cited by 101 · see citing works
Self-citation“Surprise” and the Bayesian Brain: Implications for Psychotherapy Theory and Practice
Holmes, J. A., & Nolte, T. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00592 · Cited by 92 · see citing works
Novembre, G., Sammler, D., & Keller, P. E. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.07.027 · Cited by 91 · see citing works
Synchronous caregiving from birth to adulthood tunes humans’ social brain
Ulmer-Yaniv, A., Salomon, R., Waidergoren, S., Shimon-Raz, O., Djalovski, A., & Feldman, R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2012900118 · Cited by 81 · see citing works
A free energy principle for generic quantum systems
Fields, C., Friston, K. J., Glazebrook, J. F., & Levin, M. (2022) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2022.05.006 · Cited by 87 · see citing works
Self-citationEmotion Perception as Conceptual Synchrony
Gendron, M., & Barrett, L. F. (2018) · Emotion Review · doi:10.1177/1754073917705717 · Cited by 86 · see citing works
‘I Interact Therefore I Am’: The Self as a Historical Product of Dialectical Attunement
Bolis, D., & Schilbach, L. (2018) · Topoi · doi:10.1007/s11245-018-9574-0 · Cited by 81 · see citing works
Interpersonal similarity of autistic traits predicts friendship quality
Bolis, D., Lahnakoski, J. M., Seidel, D., Tamm, J., & Schilbach, L. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa147 · Cited by 77 · see citing works
A hierarchical model for interpersonal verbal communication
Jiang, J., Zheng, L., & Lu, C. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa151 · Cited by 86 · see citing works
The Neural Representation of Prospective Choice during Spatial Planning and Decisions
Kaplan, R., King, J. A., Koster, R., Penny, W. D., Burgess, N., & Friston, K. J. (2017) · PLoS Biology · doi:10.1371/journal.pbio.1002588 · Cited by 79 · see citing works
Self-citationDifferential brain-to-brain entrainment while speaking and listening in native and foreign languages
Pérez, A., Dumas, G., Karadag, M., & Duñabeitia, J. A. (2018) · Cortex · doi:10.1016/j.cortex.2018.11.026 · Cited by 76 · see citing works
Predictive joint-action model: A hierarchical predictive approach to human cooperation
Pesquita, A., Whitwell, R. L., & Enns, J. T. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1393-6 · Cited by 76 · see citing works
Schilbach, L., & Redcay, E. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-080123-101149 · Cited by 71 · see citing works
Therapeutic Alliance as Active Inference: The Role of Therapeutic Touch and Synchrony
McParlin, Z., Cerritelli, F., Friston, K. J., & Esteves, J. E. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.783694 · Cited by 71 · see citing works
Self-citationWhat can we learn from a two-brain approach to verbal interaction?
Schoot, L., Peter Hagoort, A., & Segaert, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.009 · Cited by 65 · see citing works
A unified model of ketamine’s dissociative and psychedelic properties
Marguilho, M., Figueiredo, I., & Castro-Rodrigues, P. (2022) · Journal of Psychopharmacology · doi:10.1177/02698811221140011 · Cited by 65 · see citing works
Immunoceptive inference: why are psychiatric disorders and immune responses intertwined?
Bhat, A., Parr, T., Ramstead, M. J. D., & Friston, K. J. (2021) · Biology & Philosophy · doi:10.1007/s10539-021-09801-6 · Cited by 63 · see citing works
Self-citationOxytocin improves synchronisation in leader-follower interaction
Gebauer, L., Witek, M. A. G., Hansen, N. C., Thomas, J., Konvalinka, I., & Vuust, P. (2016) · Scientific Reports · doi:10.1038/srep38416 · Cited by 64 · see citing works
Active Inference and Auditory Hallucinations
Benrimoh, D. A., Parr, T., Vincent, P., Adams, R. A., & Friston, K. J. (2018) · Computational Psychiatry · doi:10.1162/cpsy_a_00022 · Cited by 61 · see citing works
Self-citationHierarchical Bayesian models of delusion
Williams, D. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.03.003 · Cited by 62 · see citing works
Stochastic Chaos and Markov Blankets
Friston, K. J., Heins, C., Ueltzhöffer, K. J., Costa, L. D., & Parr, T. (2021) · Entropy · doi:10.3390/e23091220 · Cited by 55 · see citing works
Self-citationExplaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience
Feeney, E. J., Groman, S. M., Taylor, J. R., & Corlett, P. R. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw194 · Cited by 50 · see citing works
A neuro-cognitive process model of emotional intelligence
Smith, R. S., Killgore, W. D. S., Alkozei, A., & Lane, R. D. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.10.012 · Cited by 59 · see citing works
The emergence of synchrony in networks of mutually inferring neurons
Palacios, E. R., Isomura, T., Parr, T., & Friston, K. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-42821-7 · Cited by 54 · see citing works
Self-citationRelational neuroscience: Insights from hyperscanning research
Felice, S. D., Chand, T., Croy, I., Engert, V., Goldstein, P., Holroyd, C. B., Kirsch, P., Krach, S., Ma, Y., Scheele, D., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105979 · Cited by 64 · see citing works
Safron, A. (2021) · Entropy · doi:10.3390/e23060783 · Cited by 52 · see citing works
Trust as Extended Control: Human-Machine Interactions as Active Inference
Schoeller, F., Miller, M. M., Salomon, R., & Friston, K. J. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.669810 · Cited by 50 · see citing works
Self-citationThe perceptual and social components of metacognition.
Pescetelli, N., Rees, G. E., & Bahrami, B. (2016) · Journal of Experimental Psychology General · doi:10.1037/xge0000180 · Cited by 48 · see citing works
Into the dark room: a predictive processing account of major depressive disorder
Fabry, R. E. (2019) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-019-09635-4 · Cited by 49 · see citing works
SPM 25: open source neuroimaging analysis software
Tierney, T. M., Alexander, N., Ashburner, J., Labra, N., Balbastre, Y., Barnes, G. R., Bezsudnova, Y., Brudfors, M., Eckstein, K., Flandin, G., et al. (2025) · The Journal of Open Source Software · doi:10.21105/joss.08103 · Cited by 59 · see citing works
Self-citationComparative connectomics of the primate social brain
Yokoyama, C., Autio, J. A., Ikeda, T., Sallet, J., Mars, R. B., Essen, D. C. V., Glasser, M. F., Sadato, N., & Hayashi, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118693 · Cited by 45 · see citing works
Nguyen, T., Kungl, M., Hoehl, S., White, L. O., & Vrtička, P. (2024) · Developmental Science · doi:10.1111/desc.13504 · Cited by 49 · see citing works
Bell, V., Mills, K. L., Modinos, G., & Wilkinson, S. (2017) · Clinical Psychological Science · doi:10.1177/2167702616677079 · Cited by 42 · see citing works
Model-Based Approaches to Active Perception and Control
Pezzulo, G., Donnarumma, F., Iodice, P., Maisto, D., & Stoianov, I. P. (2017) · Entropy · doi:10.3390/e19060266 · Cited by 41 · see citing works
Preventing antisocial robots: A pathway to artificial empathy
Christov‐Moore, L., Reggente, N., Vaccaro, A. G., Schoeller, F., Pluimer, B. R., Douglas, P. K., Iacoboni, M., Man, K., Damásio, A. R., & Kaplan, J. (2023) · Science Robotics · doi:10.1126/scirobotics.abq3658 · Cited by 43 · see citing works
Designing ecosystems of intelligence from first principles
Friston, K. J., Ramstead, M. J. D., Kiefer, A. B., Tschantz, A., Buckley, C. L., Albarracin, M., Pitliya, R. J., Heins, C., Klein, B., Millidge, B., et al. (2024) · Collective Intelligence · doi:10.1177/26339137231222481 · Cited by 66 · see citing works
Self-citationSeven computations of the social brain
Molapour, T., Hagan, C. C., Silston, B., Wu, H., Ramstead, M. J. D., Friston, K. J., & Mobbs, D. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab024 · Cited by 42 · see citing works
Self-citation“I” and “Me”: The Self in the Context of Consciousness
Wozniak, M. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01656 · Cited by 41 · see citing works
An Investigation of the Free Energy Principle for Emotion Recognition
Demekas, D., Parr, T., & Friston, K. J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00030 · Cited by 41 · see citing works
Self-citationPianzola, F., Riva, G., Kukkonen, K., & Mantovani, F. (2021) · Open Research Europe · doi:10.12688/openreseurope.13193.2 · Cited by 41 · see citing works
Collective memory shapes the organization of individual memories in the medial prefrontal cortex
Gagnepain, P., Vallée, T., Heiden, S., Decorde, M., Gauvain, J., Laurent, A., Klein-Peschanski, C., Viader, F., Peschanski, D., & Eustache, F. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0779-z · Cited by 39 · see citing works
From relaxed beliefs under psychedelics (REBUS) to revised beliefs after psychedelics (REBAS)
Zeifman, R. J., Spriggs, M. J., Kettner, H., Lyons, T., Rosas, F. E., Mediano, P. A. M., Erritzøe, D., & Carhart-Harris, R. L. (2025) · Scientific Reports · doi:10.1038/s41598-023-28111-3 · Cited by 54 · see citing works
The role of interaction and predictability in the spontaneous entrainment of movement.
Dotov, D. G., Cock, V. C. D., Gény, C., Ihalainen, P., Moens, B., Leman, M., Bardy, B. G., & Bella, S. D. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000609 · Cited by 39 · see citing works
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence
Isomura, T., Parr, T., & Friston, K. J. (2019) · Neural Computation · doi:10.1162/neco_a_01239 · Cited by 41 · see citing works
Self-citationDynamic mutual predictions during social learning: A computational and interbrain model
Mayo, O., & Shamay‐Tsoory, S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105513 · Cited by 37 · see citing works
Developmental Contributions to Emotional Awareness
Smith, R., Quinlan, D., Schwartz, G., Sanova, A., Alkozei, A., & Lane, R. (2018) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1411917 · Cited by 36 · see citing works
Safron, A., & DeYoung, C. G. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819200-9.00010-7 · Cited by 34 · see citing works
Modelling Me, Modelling You: the Autistic Self
Perrykkad, K., & Hohwy, J. (2019) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-019-00173-y · Cited by 37 · see citing works
Kempson, R., Cann, R., Gregoromichelaki, E., & Chatzikyriakidis, S. (2017) · Theoretical Linguistics · doi:10.1515/tl-2017-0012 · Cited by 36 · see citing works
Active inference leads to Bayesian neurophysiology
Isomura, T. (2021) · Neuroscience Research · doi:10.1016/j.neures.2021.12.003 · Cited by 36 · see citing works
Attending to and neglecting people: bridging neuroscience, psychology and sociology
Hari, R., Sams, M., & Nummenmaa, L. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0365 · Cited by 25 · see citing works
Avoiding Accidents at the Champagne Reception
Pezzulo, G., Iodice, P., Donnarumma, F., Dindo, H., & Knoblich, G. (2017) · Psychological Science · doi:10.1177/0956797616683015 · Cited by 34 · see citing works
Limanowski, J., Sarasso, P., & Blankenburg, F. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13824 · Cited by 32 · see citing works
Directed coupling in multi-brain networks underlies generalized synchrony during social exchange
Bilek, E., Zeidman, P., Kirsch, P., Tost, H., Meyer‐Lindenberg, A., & Friston, K. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119038 · Cited by 33 · see citing works
Self-citationAn Active Inference Model of Collective Intelligence
Kaufmann, R., Gupta, P., & Taylor, J. (2021) · Entropy · doi:10.3390/e23070830 · Cited by 35 · see citing works
Rabeyron, T., & Massicotte, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00366 · Cited by 34 · see citing works
Smith, R. S., Weihs, K. L., Alkozei, A., Killgore, W. D. S., & Lane, R. D. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000661 · Cited by 33 · see citing works
Smith, R. S., Varshney, L. R., Nagayama, S., Kazama, M., Kitagawa, T., Shunsuke, M., & Ishikawa, Y. (2022) · International Journal of Wellbeing · doi:10.5502/ijw.v12i4.2659 · Cited by 31 · see citing works
Collective dynamics support group drumming, reduce variability, and stabilize tempo drift
Dotov, D. G., Delasanta, L., Cameron, D. J., Large, E. W., & Trainor, L. J. (2022) · eLife · doi:10.7554/elife.74816 · Cited by 30 · see citing works
Neural substrates of shared visual experiences: a hyperscanning fMRI study
Yoshioka, A., Tanabe, H. C., Sumiya, M., Nakagawa, E., Okazaki, S., Koike, T., & Sadato, N. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab082 · Cited by 29 · see citing works
Delusions and Prediction Error
Corlett, P. R. (2018) · Springer eBooks · doi:10.1007/978-3-319-97202-2_2 · Cited by 31 · see citing works
Neurodynamics of Relational Aesthetic Engagement in Creative Arts Therapies
Vaisvaser, S., King, J. L., Orkibi, H., & Aleem, H. (2024) · Review of General Psychology · doi:10.1177/10892680241260840 · Cited by 30 · see citing works
Tang, S. X., Cong, Y., Nikzad, A. H., Mehta, A., Cho, S., Hänsel, K., Berretta, S. A., Dhar, A. A., Kane, J. M., & Malhotra, A. K. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.06.012 · Cited by 29 · see citing works
A Variational Approach to Scripts
Albarracin, M., Constant, A., Friston, K. J., & Ramstead, M. J. D. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.585493 · Cited by 28 · see citing works
Self-citationForms and Functions of Affective Synchrony
Wood, A., Lipson, J., Zhao, O., & Niedenthal, P. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-78471-3_17 · Cited by 30 · see citing works
A problem of scope for the free energy principle as a theory of cognition
Sims, A. (2016) · Philosophical Psychology · doi:10.1080/09515089.2016.1200024 · Cited by 28 · see citing works
Friston's free energy principle: new life for psychoanalysis?
Holmes, J. A. (2021) · BJPsych Bulletin · doi:10.1192/bjb.2021.6 · Cited by 27 · see citing works
Limongi, R., Silva, A., Mackinley, M., Ford, S. D., & Palaniyappan, L. K. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac125 · Cited by 27 · see citing works
Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience
Gold, J. M., Corlett, P. R., Strauss, G. P., Schiffman, J. E., Ellman, L. M., Walker, E. F., Powers, A. R., Woods, S. W., Waltz, J. A., Silverstein, S. M., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa091 · Cited by 25 · see citing works
Neural substrates for sharing intention in action during face-to-face imitation
Miyata, K., Koike, T., Nakagawa, E., Harada, T., Sumiya, M., Yamamoto, T., & Sadato, N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117916 · Cited by 27 · see citing works
- Authors
- Friston, K., & Frith, C.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Friston, Karl
- ORCID
- Friston, Karl
- Venue
- Consciousness and Cognition
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 36
- Pages
- 390-405
- ISSN
- 1053-8100 (ISSN-L)
- PMC
- PMC4553904
- OpenAlex
- W2024149692
- Cited by
- 359
- References
- 82
- Citations by year
- 2026: 44 · 2025: 31 · 2024: 33 · 2023: 43 · 2022: 41 · 2021: 41 · 2020: 21 · 2019: 22 · 2018: 30 · 2017: 26 · 2016: 22 · 2015: 5
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Consciousness and Cognition (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (091593, 088130)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- communication, joint action, shared narratives, Bayesian inference, infinite regress, shared models, sensory prediction, attention, attenuation, bird song, social cognition
- MeSH terms
- Animals, Attention, Communication, Humans, Models, Theoretical, Perception, Sensation, Thinking, Theory of Mind
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review