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  • Review Article
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Evaluating cognitive penetrability of perception across the senses

Abstract

A central question about the human mind is whether perception is an encapsulated process driven purely by sensory information or whether it is intricately linked with cognitive processes. This debate about the cognitive penetrability of perception is discussed in psychology, cognitive neuroscience and philosophy. Thus far, the debate has centred on vision, without major attempts to examine other senses. In this Review, we provide an overview of the key empirical evidence about cognitive penetrability of perception in vision, audition, somatosensation (including proprioception and pain perception), vestibular perception and chemosensation (gustation, chemesthesis and olfaction). We conclude that many (but not all) of the senses are cognitively penetrable. Specifically, cognitive penetrability seems to vary with the extent to which a sense is intrinsically multimodal, the extent to which it receives indirect cognitive influences, and whether hedonic evaluation is an integral aspect of the perceptual experience. We suggest that the debate about cognitive penetrability needs to be more differentiated with respect to the sensory modality of the perceptual experience and the diversity of cognitive influences on that modality.

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Fig. 1: Possible relationships between cognition and perception.
Fig. 2: Top-down effects in different senses.
Fig. 3: Hierarchical recurrent perceptual processing in the human brain.
Fig. 4: Influences of cognition on perception across the senses.

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References

  1. Cermeño-Aínsa, S. The cognitive penetrability of perception: a blocked debate and a tentative solution. Conscious. Cogn. 77, 102838 (2020).

    Article  PubMed  Google Scholar 

  2. Firestone, C. & Scholl, B. J. Cognition does not affect perception: evaluating the evidence for ‘top-down’ effects. Behav. Brain Sci. 39, e229 (2016).

    Article  PubMed  Google Scholar 

  3. Lupyan, G. Cognitive penetrability of perception in the age of prediction: predictive systems are penetrable systems. Rev. Philos. Psychol. 6, 547–569 (2015).

    Article  Google Scholar 

  4. Macpherson, F. Cognitive penetration of colour experience: rethinking the issue in light of an indirect mechanism. Philos. Phenomenol. Res. 84, 24–62 (2012).

    Article  Google Scholar 

  5. Newen, A. & Vetter, P. Why cognitive penetration of our perceptual experience is still the most plausible account. Conscious. Cogn. 47, 26–37 (2017).

    Article  PubMed  Google Scholar 

  6. O’Callaghan, C., Kveraga, K., Shine, J. M., Adams, R. B. & Bar, M. Predictions penetrate perception: converging insights from brain, behaviour and disorder. Conscious. Cogn. 47, 63–74 (2017).

    Article  PubMed  Google Scholar 

  7. Raftopoulos, A. The cognitive impenetrability of the content of early vision is a necessary and sufficient condition for purely nonconceptual content. Philos. Psychol. 27, 601–620 (2014).

    Article  Google Scholar 

  8. Stokes, D. Thinking and Perceiving: on the Malleability of the Mind (Routledge, 2021).

  9. Vetter, P. & Newen, A. Varieties of cognitive penetration in visual perception. Conscious. Cogn. 27, 62–75 (2014).

    Article  PubMed  Google Scholar 

  10. Block, N. The Border between Seeing and Thinking (Oxford University Press, 2023).

  11. Fodor, J. A. The Modularity of Mind: An Essay on Faculty Psychology (MIT Press, 1983).

  12. Pylyshyn, Z. Is vision continuous with cognition? The case for cognitive impenetrability of visual perception. Behav. Brain Sci. 22, 341–365 (1999).

    Article  PubMed  Google Scholar 

  13. Zeki, S. A century of cerebral achromatopsia. Brain 113, 1721–1777 (1990).

    Article  PubMed  Google Scholar 

  14. Lueck, C. J. et al. The colour centre in the cerebral cortex of man. Nature 340, 386–389 (1989).

    Article  PubMed  Google Scholar 

  15. Cristofori, I., Cohen-Zimerman, S. & Grafman, J. Executive functions. Handb. Clin. Neurol. 163, 197–219 (2019).

    Article  PubMed  Google Scholar 

  16. Lamme, V. A. F. Why visual attention and awareness are different. Trends Cogn. Sci. 7, 12–18 (2003).

    Article  PubMed  Google Scholar 

  17. Clark, A. Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav. Brain Sci. 36, 181–204 (2013).

    Article  PubMed  Google Scholar 

  18. Teufel, C. & Nanay, B. How to (and how not to) think about top-down influences on visual perception. Conscious. Cogn. 47, 17–25 (2017).

    Article  PubMed  Google Scholar 

  19. Markov, N. T. et al. Cortical high-density counterstream architectures. Science 342, 1238406 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gilbert, C. D. & Li, W. Top-down influences on visual processing. Nat. Rev. Neurosci. 14, 350–363 (2013). This paper is a review of different types of top-down influence in vision and how cortical feedback pathways exert these influences.

    Article  PubMed  Google Scholar 

  21. Hochstein, S. & Ahissar, M. View from the top: hierarchies and reverse hierarchies in the visual system. Neuron 36, 791–804 (2002).

    Article  PubMed  Google Scholar 

  22. Kietzmann, T. C. et al. Recurrence is required to capture the representational dynamics of the human visual system. Proc. Natl Acad. Sci. USA 116, 21854–21863 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lamme, V. A. & Roelfsema, P. R. The distinct modes of vision offered by feedforward and recurrent processing. Trends Neurosci. 23, 571–579 (2000).

    Article  PubMed  Google Scholar 

  24. Siu, C., Balsor, J., Merlin, S., Federer, F. & Angelucci, A. A direct interareal feedback-to-feedforward circuit in primate visual cortex. Nat. Commun. 12, 4911 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Gregory, R. L. Seeing Through Illusions (Oxford University Press, 2009).

  26. Cavanagh, P. et al. The architecture of object-based attention. Psychon. Bull. Rev. 30, 1643–1667 (2023).

    Article  PubMed  Google Scholar 

  27. Carrasco, M. & Barbot, A. Spatial attention alters visual appearance. Curr. Opin. Psychol. 29, 56–64 (2019).

    Article  PubMed  Google Scholar 

  28. Pearson, J. The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20, 624–634 (2019).

    Article  PubMed  Google Scholar 

  29. Girshick, A. R., Landy, M. S. & Simoncelli, E. P. Cardinal rules: visual orientation perception reflects knowledge of environmental statistics. Nat. Neurosci. 14, 926–932 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Badde, S. & Heed, T. The hands’ default location guides tactile spatial selectivity. Proc. Natl Acad. Sci. USA 120, e2209680120 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Badde, S., Röder, B. & Heed, T. Feeling a touch to the hand on the foot. Curr. Biol. 29, 1491–1497.e4 (2019).

    Article  PubMed  Google Scholar 

  32. Green, C. S., Banai, K., Lu, Z. & Bavelier, D. In: Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience (ed. Wixted, J. T.) 1–47 (Wiley, 2018).

  33. Phelps, E. A. Emotion and cognition: insights from studies of the human amygdala. Annu. Rev. Psychol. 57, 27–53 (2006).

    Article  PubMed  Google Scholar 

  34. Salmela, M. Can emotion be modelled on perception? Dialectica 65, 1–29 (2011).

    Article  Google Scholar 

  35. Niedenthal, P. M. & Wood, A. Does emotion influence visual perception? Depends on how you look at it. Cogn. Emot. 33, 77–84 (2019).

    Article  PubMed  Google Scholar 

  36. Choi, I., Lee, J.-Y. & Lee, S.-H. Bottom-up and top-down modulation of multisensory integration. Curr. Opin. Neurobiol. 52, 115–122 (2018).

    Article  PubMed  Google Scholar 

  37. Murray, M. M. & Wallace, M. T. The Neural Bases of Multisensory Processes (CRC Press/Taylor & Francis, 2012).

  38. Lupyan, G. & Spivey, M. J. Making the invisible visible: verbal but not visual cues enhance visual detection. PLoS ONE 5, e11452 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Lupyan, G. & Ward, E. J. Language can boost otherwise unseen objects into visual awareness. Proc. Natl Acad. Sci. USA 110, 14196–14201 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Chen, Y.-C. & Spence, C. When hearing the bark helps to identify the dog: semantically-congruent sounds modulate the identification of masked pictures. Cognition 114, 389–404 (2010).

    Article  PubMed  Google Scholar 

  41. Chen, Y.-C. & Spence, C. Crossmodal semantic priming by naturalistic sounds and spoken words enhances visual sensitivity. J. Exp. Psychol. Hum. Percept. Perform. 37, 1554–1568 (2011).

    Article  PubMed  Google Scholar 

  42. Teufel, C., Dakin, S. C. & Fletcher, P. C. Prior object-knowledge sharpens properties of early visual feature-detectors. Sci. Rep. 8, 10853 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Samaha, J., Boutonnet, B., Postle, B. R. & Lupyan, G. Effects of meaningfulness on perception: alpha-band oscillations carry perceptual expectations and influence early visual responses. Sci. Rep. 8, 6606 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  44. Berger, C. C. & Ehrsson, H. H. The content of imagined sounds changes visual motion perception in the cross-bounce illusion. Sci. Rep. 7, 40123 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Yuval-Greenberg, S. & Heeger, D. J. Continuous flash suppression modulates cortical activity in early visual cortex. J. Neurosci. 33, 9635–9643 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Mathôt, S. Tuning the senses: how the pupil shapes vision at the earliest stage. Annu. Rev. Vis. Sci. 6, 433–451 (2020).

    Article  PubMed  Google Scholar 

  47. Binda, P., Pereverzeva, M. & Murray, S. O. Pupil constrictions to photographs of the sun. J. Vis. 13, 8 (2013).

    Article  PubMed  Google Scholar 

  48. Castellotti, S., Conti, M., Feitosa-Santana, C. & Del Viva, M. M. Pupillary response to representations of light in paintings. J. Vis. 20, 14 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Naber, M. & Nakayama, K. Pupil responses to high-level image content. J. Vis. 13, 7 (2013).

    Article  PubMed  Google Scholar 

  50. Mathôt, S., Grainger, J. & Strijkers, K. Pupillary responses to words that convey a sense of brightness or darkness. Psychol. Sci. 28, 1116–1124 (2017).

    Article  PubMed  Google Scholar 

  51. Laeng, B. & Sulutvedt, U. The eye pupil adjusts to imaginary light. Psychol. Sci. 25, 188–197 (2014).

    Article  PubMed  Google Scholar 

  52. Hustá, C., Dalmaijer, E., Belopolsky, A. & Mathôt, S. The pupillary light response reflects visual working memory content. J. Exp. Psychol. Hum. Percept. Perform. 45, 1522–1528 (2019).

    Article  PubMed  Google Scholar 

  53. Xie, W. & Zhang, W. Pupillary evidence reveals the influence of conceptual association on brightness perception. Psychon. Bull. Rev. 30, 1388–1395 (2023).

    Article  PubMed  Google Scholar 

  54. Peelen, M. V. & Downing, P. E. Testing cognitive theories with multivariate pattern analysis of neuroimaging data. Nat. Hum. Behav. 7, 1430–1441 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Kay, K., Bonnen, K., Denison, R. N., Arcaro, M. J. & Barack, D. L. Tasks and their role in visual neuroscience. Neuron 111, 1697–1713 (2023). This paper provides an overview of the diverse ways in which tasks influence visual processing.

    Article  PubMed  Google Scholar 

  56. Uithol, S., Bryant, K. L., Toni, I. & Mars, R. B. The anticipatory and task-driven nature of visual perception. Cereb. Cortex 31, 5354–5362 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Harel, A., Kravitz, D. J. & Baker, C. I. Task context impacts visual object processing differentially across the cortex. Proc. Natl Acad. Sci. USA 111, E962–E971 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  58. Çukur, T., Nishimoto, S., Huth, A. G. & Gallant, J. L. Attention during natural vision warps semantic representation across the human brain. Nat. Neurosci. 16, 763–770 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Kay, K. & Yeatman, J. D. Bottom-up and top-down computations in word- and face-selective cortex. eLife 6, e22341 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  60. White, A. L., Kay, K., Tang, K. A. & Yeatman, J. D. Engaging in word recognition elicits highly specific modulations in visual cortex. Curr. Biol. 33, 1308–1320.e5 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Hebart, M. N., Bankson, B. B., Harel, A., Baker, C. I. & Cichy, R. M. The representational dynamics of task and object processing in humans. eLife 7, e32816 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Breedlove, J. L., St-Yves, G., Olman, C. A. & Naselaris, T. Generative feedback explains distinct brain activity codes for seen and mental images. Curr. Biol. 30, 2211–2224.e6 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  63. Bannert, M. M. & Bartels, A. Decoding the yellow of a gray banana. Curr. Biol. 23, 2268–2272 (2013).

    Article  PubMed  Google Scholar 

  64. Kok, P., Jehee, J. F. M. & de Lange, F. P. Less is more: expectation sharpens representations in the primary visual cortex. Neuron 75, 265–270 (2012).

    Article  PubMed  Google Scholar 

  65. Favila, S. E., Kuhl, B. A. & Winawer, J. Perception and memory have distinct spatial tuning properties in human visual cortex. Nat. Commun. 13, 5864 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  66. Yan, C., de Lange, F. P. & Richter, D. Conceptual associations generate sensory predictions. J. Neurosci. 43, 3733–3742 (2023).

    PubMed  PubMed Central  Google Scholar 

  67. Harrison, S. A. & Tong, F. Decoding reveals the contents of visual working memory in early visual areas. Nature 458, 632–635 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Rademaker, R. L., Chunharas, C. & Serences, J. T. Coexisting representations of sensory and mnemonic information in human visual cortex. Nat. Neurosci. 22, 1336–1344 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  69. Gutteling, T. P. et al. Action preparation shapes processing in early visual cortex. J. Neurosci. 35, 6472–6480 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  70. Yon, D., Gilbert, S. J., de Lange, F. P. & Press, C. Action sharpens sensory representations of expected outcomes. Nat. Commun. 9, 4288 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  71. Monaco, S., Gallivan, J. P., Figley, T. D., Singhal, A. & Culham, J. C. Recruitment of foveal retinotopic cortex during haptic exploration of shapes and actions in the dark. J. Neurosci. 37, 11572–11591 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  72. de Haas, B., Schwarzkopf, D. S., Urner, M. & Rees, G. Auditory modulation of visual stimulus encoding in human retinotopic cortex. NeuroImage 70, 258–267 (2013).

    Article  PubMed  Google Scholar 

  73. Vetter, P., Smith, F. W. & Muckli, L. Decoding sound and imagery content in early visual cortex. Curr. Biol. 24, 1256–1262 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  74. Petro, L. S., Vizioli, L. & Muckli, L. Contributions of cortical feedback to sensory processing in primary visual cortex. Front. Psychol. 5, 1223 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  75. Wyatte, D., Jilk, D. J. & O’Reilly, R. C. Early recurrent feedback facilitates visual object recognition under challenging conditions. Front. Psychol. 5, 674 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Bashford, J. A. & Warren, R. M. Multiple phonemic restorations follow the rules for auditory induction. Percept. Psychophys. 42, 114–121 (1987).

    Article  PubMed  Google Scholar 

  77. Samuel, A. Phoneme restoration. Lang. Cogn. Process. 11, 647–654 (1996).

    Article  Google Scholar 

  78. Warren, R. M., Obusek, C. J. & Ackroff, J. M. Auditory induction: perceptual synthesis of absent sounds. Science 176, 1149–1151 (1972).

    Article  PubMed  Google Scholar 

  79. Ciocca, V. & Bregman, A. S. Perceived continuity of gliding and steady-state tones through interrupting noise. Percept. Psychophys. 42, 476–484 (1987).

    Article  PubMed  Google Scholar 

  80. Lyzenga, J., Carlyon, R. P. & Moore, B. C. J. Dynamic aspects of the continuity illusion: perception of level and of the depth, rate, and phase of modulation. Hear. Res. 210, 30–41 (2005).

    Article  PubMed  Google Scholar 

  81. Cervantes Constantino, F. & Simon, J. Z. Dynamic cortical representations of perceptual filling-in for missing acoustic rhythm. Sci. Rep. 7, 17536 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  82. Riecke, L. et al. Recalibration of the auditory continuity illusion: sensory and decisional effects. Hear. Res. 277, 152–162 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  83. Mattys, S. L., Davis, M. H., Bradlow, A. R. & Scott, S. K. Speech recognition in adverse conditions: a review. Lang. Cogn. Process. 27, 953–978 (2012). This paper is a review of the role of prediction, at all levels, in perception of speech.

    Article  Google Scholar 

  84. Gwilliams, L., Linzen, T., Poeppel, D. & Marantz, A. In spoken word recognition, the future predicts the past. J. Neurosci. 38, 7585–7599 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  85. Ganong, W. F. Phonetic categorization in auditory word perception. J. Exp. Psychol. Hum. Percept. Perform. 6, 110–125 (1980).

    Article  PubMed  Google Scholar 

  86. Freyman, R. L., Morse-Fortier, C. & Griffin, A. M. Temporal effects in priming of masked and degraded speech. J. Acoust. Soc. Am. 138, 1418–1427 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  87. Sheldon, S., Pichora-Fuller, M. K. & Schneider, B. A. Priming and sentence context support listening to noise-vocoded speech by younger and older adults. J. Acoust. Soc. Am. 123, 489–499 (2008).

    Article  PubMed  Google Scholar 

  88. Guediche, S., Reilly, M., Santiago, C., Laurent, P. & Blumstein, S. E. An fMRI study investigating effects of conceptually related sentences on the perception of degraded speech. Cortex 79, 57–74 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  89. Cummings, A. et al. Auditory semantic networks for words and natural sounds. Brain Res. 1115, 92–107 (2006).

    Article  PubMed  Google Scholar 

  90. Orgs, G., Lange, K., Dombrowski, J.-H. & Heil, M. Conceptual priming for environmental sounds and words: an ERP study. Brain Cogn. 62, 267–272 (2006).

    Article  PubMed  Google Scholar 

  91. Frey, A., Aramaki, M. & Besson, M. Conceptual priming for realistic auditory scenes and for auditory words. Brain Cogn. 84, 141–152 (2014).

    Article  PubMed  Google Scholar 

  92. Maye, J., Aslin, R. N. & Tanenhaus, M. K. The weckud wetch of the wast: lexical adaptation to a novel accent. Cogn. Sci. 32, 543–562 (2008).

    Article  PubMed  Google Scholar 

  93. Norris, D. Perceptual learning in speech. Cognit. Psychol. 47, 204–238 (2003).

    Article  PubMed  Google Scholar 

  94. Bradlow, A. R. & Bent, T. Perceptual adaptation to non-native speech. Cognition 106, 707–729 (2008).

    Article  PubMed  Google Scholar 

  95. Reinisch, E. & Holt, L. L. Lexically guided phonetic retuning of foreign-accented speech and its generalization. J. Exp. Psychol. Hum. Percept. Perform. 40, 539–555 (2014).

    Article  PubMed  Google Scholar 

  96. Xie, X. & Myers, E. B. Learning a talker or learning an accent: acoustic similarity constrains generalization of foreign accent adaptation to new talkers. J. Mem. Lang. 97, 30–46 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  97. Trude, A. M. & Brown-Schmidt, S. Talker-specific perceptual adaptation during online speech perception. Lang. Cogn. Process. 27, 979–1001 (2012).

    Article  Google Scholar 

  98. Agus, T. R. & Pressnitzer, D. Repetition detection and rapid auditory learning for stochastic tone clouds. J. Acoust. Soc. Am. 150, 1735–1749 (2021).

    Article  PubMed  Google Scholar 

  99. Herrmann, B., Araz, K. & Johnsrude, I. S. Sustained neural activity correlates with rapid perceptual learning of auditory patterns. NeuroImage 238, 118238 (2021). This paper reports evidence for direct changes in neural coding acoustic inputs based on recent context.

    Article  PubMed  Google Scholar 

  100. Agus, T. R. & Pressnitzer, D. The detection of repetitions in noise before and after perceptual learning. J. Acoust. Soc. Am. 134, 464–473 (2013).

    Article  PubMed  Google Scholar 

  101. Ringer, H., Schröger, E. & Grimm, S. Perceptual learning of random acoustic patterns: impact of temporal regularity and attention. Eur. J. Neurosci. 57, 2112–2135 (2023).

    Article  PubMed  Google Scholar 

  102. Bianco, R. et al. Long-term implicit memory for sequential auditory patterns in humans. eLife 9, e56073 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  103. Heinrich, A., Carlyon, R. P., Davis, M. H. & Johnsrude, I. S. Illusory vowels resulting from perceptual continuity: a functional magnetic resonance imaging study. J. Cogn. Neurosci. 20, 1737–1752 (2008).

    Article  PubMed  Google Scholar 

  104. Heinrich, A., Carlyon, R. P., Davis, M. H. & Johnsrude, I. S. The continuity illusion does not depend on attentional state: fMRI evidence from illusory vowels. J. Cogn. Neurosci. 23, 2675–2689 (2011).

    Article  PubMed  Google Scholar 

  105. Shahin, A. J., Bishop, C. W. & Miller, L. M. Neural mechanisms for illusory filling-in of degraded speech. NeuroImage 44, 1133–1143 (2009).

    Article  PubMed  Google Scholar 

  106. Riecke, L., Esposito, F., Bonte, M. & Formisano, E. Hearing illusory sounds in noise: the timing of sensory-perceptual transformations in auditory cortex. Neuron 64, 550–561 (2009).

    Article  PubMed  Google Scholar 

  107. Hannemann, R., Obleser, J. & Eulitz, C. Top-down knowledge supports the retrieval of lexical information from degraded speech. Brain Res. 1153, 134–143 (2007).

    Article  PubMed  Google Scholar 

  108. Baltzell, L. S., Srinivasan, R. & Richards, V. M. The effect of prior knowledge and intelligibility on the cortical entrainment response to speech. J. Neurophysiol. 118, 3144–3151 (2017). This paper reports neural evidence that previous inputs alter coding of subsequent speech.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Banellis, L., Sokoliuk, R., Wild, C. J., Bowman, H. & Cruse, D. Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech. Neurosci. Conscious. 2020, niaa022 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  110. Yi, H. G., Leonard, M. K. & Chang, E. F. The encoding of speech sounds in the superior temporal gyrus. Neuron 102, 1096–1110 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  111. Sohoglu, E., Peelle, J. E., Carlyon, R. P. & Davis, M. H. Predictive top-down integration of prior knowledge during speech perception. J. Neurosci. 32, 8443–8453 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  112. Leonard, M. K., Baud, M. O., Sjerps, M. J. & Chang, E. F. Perceptual restoration of masked speech in human cortex. Nat. Commun. 7, 13619 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  113. Lim, S.-J., Fiez, J. A. & Holt, L. L. Role of the striatum in incidental learning of sound categories. Proc. Natl Acad. Sci. USA 116, 4671–4680 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  114. Lim, S. & Holt, L. L. Learning foreign sounds in an alien world: videogame training improves non‐native speech categorization. Cogn. Sci. 35, 1390–1405 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  115. Ley, A. et al. Learning of new sound categories shapes neural response patterns in human auditory cortex. J. Neurosci. 32, 13273–13280 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  116. Fritz, J. B., Elhilali, M., David, S. V. & Shamma, S. A. Auditory attention — focusing the searchlight on sound. Curr. Opin. Neurobiol. 17, 437–455 (2007).

    Article  PubMed  Google Scholar 

  117. Maddox, R. K. & Shinn-Cunningham, B. G. Influence of task-relevant and task-irrelevant feature continuity on selective auditory attention. J. Assoc. Res. Otolaryngol. 13, 119–129 (2012).

    Article  PubMed  Google Scholar 

  118. Noyce, A. L., Cestero, N., Michalka, S. W., Shinn-Cunningham, B. G. & Somers, D. C. Sensory-biased and multiple-demand processing in human lateral frontal cortex. J. Neurosci. 37, 8755–8766 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  119. Larson, E. & Lee, A. K. C. Switching auditory attention using spatial and non-spatial features recruits different cortical networks. NeuroImage 84, 681–687 (2014).

    Article  PubMed  Google Scholar 

  120. Michalka, S. W., Rosen, M. L., Kong, L., Shinn-Cunningham, B. G. & Somers, D. C. Auditory spatial coding flexibly recruits anterior, but not posterior, visuotopic parietal cortex. Cereb. Cortex 26, 1302–1308 (2016).

    Article  PubMed  Google Scholar 

  121. Hill, K. T. & Miller, L. M. Auditory attentional control and selection during cocktail party listening. Cereb. Cortex 20, 583–590 (2010).

    Article  PubMed  Google Scholar 

  122. Michalka, S. W., Kong, L., Rosen, M. L., Shinn-Cunningham, B. G. & Somers, D. C. Short-term memory for space and time flexibly recruit complementary sensory-biased frontal lobe attention networks. Neuron 87, 882–892 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  123. Lee, A. K. C. et al. Auditory selective attention reveals preparatory activity in different cortical regions for selection based on source location and source pitch. Front. Neurosci. 6, 190 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  124. Anourova, I. et al. Evidence for dissociation of spatial and nonspatial auditory information processing. NeuroImage 14, 1268–1277 (2001).

    Article  PubMed  Google Scholar 

  125. Anurova, I. et al. Differences between auditory evoked responses recorded during spatial and nonspatial working memory tasks. NeuroImage 20, 1181–1192 (2003).

    Article  PubMed  Google Scholar 

  126. Leavitt, V. M., Molholm, S., Gomez-Ramirez, M. & Foxe, J. J. “What” and “where” in auditory sensory processing: a high-density electrical mapping study of distinct neural processes underlying sound object recognition and sound localization. Front. Integr. Neurosci. 5, 23 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  127. Fleming, J. T., Njoroge, J. M., Noyce, A. L., Perrachione, T. K. & Shinn-Cunningham, B. G. Sensory modality and information domain contribute jointly to dual-task interference between working memory and perceptual processing. Imaging Neurosci. 2, 1–22 (2024).

    Article  Google Scholar 

  128. Shinn-Cunningham, B., Best, V. & Lee, A. K. C. In: The Auditory System at the Cocktail Party (eds Middlebrooks, J. C., Simon, J. Z., Popper, A. N. & Fay, R. R.) 60, 7–40 (Springer International Publishing, 2017).

  129. Delhaye, B. P., Long, K. H. & Bensmaia, S. J. Neural basis of touch and proprioception in primate cortex. Compr. Physiol. 8, 1575–1602 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  130. Badde, S., Navarro, K. T. & Landy, M. S. Modality-specific attention attenuates visual-tactile integration and recalibration effects by reducing prior expectations of a common source for vision and touch. Cognition 197, 104170 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  131. Samad, M. & Shams, L. Visual–somatotopic interactions in spatial perception. NeuroReport 27, 180–185 (2016).

    Article  PubMed  Google Scholar 

  132. Van Beers, R. J., Sittig, A. C. & Van Der Gon Denier, J. J. How humans combine simultaneous proprioceptive and visual position information. Exp. Brain Res. 111, 253–261 (1996).

    Article  PubMed  Google Scholar 

  133. Goldreich, D. A Bayesian perceptual model replicates the cutaneous rabbit and other tactile spatiotemporal illusions. PLoS ONE 2, e333 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  134. Tajadura-Jiménez, A. et al. Action sounds recalibrate perceived tactile distance. Curr. Biol. 22, R516–R517 (2012).

    Article  PubMed  Google Scholar 

  135. Miller, L. E., Cawley-Bennett, A., Longo, M. R. & Saygin, A. P. The recalibration of tactile perception during tool use is body-part specific. Exp. Brain Res. 235, 2917–2926 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  136. Markmann, M. et al. Hypnotic suggestions cognitively penetrate tactile perception through top-down modulation of semantic contents. Sci. Rep. 13, 6578 (2023). This paper is one of very few that directly probes cognitive penetrability of tactile perception, here by means of hypnotic suggestion.

    Article  PubMed  PubMed Central  Google Scholar 

  137. Taylor-Clarke, M., Jacobsen, P. & Haggard, P. Keeping the world a constant size: object constancy in human touch. Nat. Neurosci. 7, 219–220 (2004).

    Article  PubMed  Google Scholar 

  138. Kennett, S., Taylor-Clarke, M. & Haggard, P. Noninformative vision improves the spatial resolution of touch in humans. Curr. Biol. 11, 1188–1191 (2001).

    Article  PubMed  Google Scholar 

  139. Haggard, P., Christakou, A. & Serino, A. Viewing the body modulates tactile receptive fields. Exp. Brain Res. 180, 187–193 (2007).

    Article  PubMed  Google Scholar 

  140. McGlone, F., Wessberg, J. & Olausson, H. Discriminative and affective touch: sensing and feeling. Neuron 82, 737–755 (2014).

    Article  PubMed  Google Scholar 

  141. McCabe, C., Rolls, E. T., Bilderbeck, A. & McGlone, F. Cognitive influences on the affective representation of touch and the sight of touch in the human brain. Soc. Cogn. Affect. Neurosci. 3, 97–108 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  142. Ravaja, N., Harjunen, V., Ahmed, I., Jacucci, G. & Spapé, M. M. Feeling touched: emotional modulation of somatosensory potentials to interpersonal touch. Sci. Rep. 7, 40504 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  143. Gazzola, V. et al. Primary somatosensory cortex discriminates affective significance in social touch. Proc. Natl Acad. Sci. USA 109, E1657–E1666 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  144. Case, L. K. et al. Encoding of touch intensity but not pleasantness in human primary somatosensory cortex. J. Neurosci. 36, 5850–5860 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  145. Botvinick, M. & Cohen, J. Rubber hands ‘feel’ touch that eyes see. Nature 391, 756 (1998).

    Article  PubMed  Google Scholar 

  146. Holle, H., McLatchie, N., Maurer, S. & Ward, J. Proprioceptive drift without illusions of ownership for rotated hands in the “rubber hand illusion” paradigm. Cogn. Neurosci. 2, 171–178 (2011).

    Article  PubMed  Google Scholar 

  147. Rohde, M., Di Luca, M. & Ernst, M. O. The rubber hand illusion: feeling of ownership and proprioceptive drift do not go hand in hand. PLoS ONE 6, e21659 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  148. Dempsey-Jones, H. & Kritikos, A. Higher-order cognitive factors affect subjective but not proprioceptive aspects of self-representation in the rubber hand illusion. Conscious. Cogn. 26, 74–89 (2014).

    Article  PubMed  Google Scholar 

  149. Brunyé, T. T. et al. The fabric of thought: priming tactile properties during reading influences direct tactile perception. Cogn. Sci. 36, 1449–1467 (2012).

    Article  PubMed  Google Scholar 

  150. Metzger, A. & Drewing, K. Memory influences haptic perception of softness. Sci. Rep. 9, 14383 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  151. Klatzky, R. L. & Lederman, S. J. Identifying objects from a haptic glance. Percept. Psychophys. 57, 1111–1123 (1995).

    Article  PubMed  Google Scholar 

  152. Deshpande, G., Hu, X., Lacey, S., Stilla, R. & Sathian, K. Object familiarity modulates effective connectivity during haptic shape perception. NeuroImage 49, 1991–2000 (2010).

    Article  PubMed  Google Scholar 

  153. Kaptchuk, T. J. & Miller, F. G. Placebo effects in medicine. N. Engl. J. Med. 373, 8–9 (2015).

    Article  PubMed  Google Scholar 

  154. Ellingsen, D.-M. et al. Placebo improves pleasure and pain through opposite modulation of sensory processing. Proc. Natl Acad. Sci. USA 110, 17993–17998 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  155. Wager, T. D. et al. Placebo-induced changes in fMRI in the anticipation and experience of pain. Science 303, 1162–1167 (2004).

    Article  PubMed  Google Scholar 

  156. Zunhammer, M. et al. Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data. Nat. Commun. 12, 1391 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  157. Wager, T. D. & Atlas, L. Y. The neuroscience of placebo effects: connecting context, learning and health. Nat. Rev. Neurosci. 16, 403–418 (2015). This review focuses on physiological correlates of placebo effects as well as the cognitive and non-cognitive processes behind these effects.

    Article  PubMed  PubMed Central  Google Scholar 

  158. Fetsch, C. R., Turner, A. H., DeAngelis, G. C. & Angelaki, D. E. Dynamic reweighting of visual and vestibular cues during self-motion perception. J. Neurosci. 29, 15601–15612 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  159. Mittelstaedt, H. The role of the otoliths in perception of the vertical and in path integration. Ann. N. Y. Acad. Sci. 871, 334–344 (1999).

    Article  PubMed  Google Scholar 

  160. Zu Eulenburg, P., Caspers, S., Roski, C. & Eickhoff, S. B. Meta-analytical definition and functional connectivity of the human vestibular cortex. NeuroImage 60, 162–169 (2012).

    Article  PubMed  Google Scholar 

  161. Guldin, W. O. & Grüsser, O.-J. Is there a vestibular cortex? Trends Neurosci. 21, 254–259 (1998).

    Article  PubMed  Google Scholar 

  162. Lopez, C. & Blanke, O. The thalamocortical vestibular system in animals and humans. Brain Res. Rev. 67, 119–146 (2011).

    Article  PubMed  Google Scholar 

  163. Gurvich, C., Maller, J. J., Lithgow, B., Haghgooie, S. & Kulkarni, J. Vestibular insights into cognition and psychiatry. Brain Res. 1537, 244–259 (2013).

    Article  PubMed  Google Scholar 

  164. Besnard, S., Lopez, C., Brandt, T., Denise, P. & Smith, P. F. Editorial: the vestibular system in cognitive and memory processes in mammalians. Front. Integr. Neurosci. 9, 55 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  165. Smith, P. F. The vestibular system and cognition. Curr. Opin. Neurol. 30, 84–89 (2017). This paper summarizes the contribution of the vestibular system to high-level cognition, extending beyond reflexes, posture and gaze orientation.

    Article  PubMed  Google Scholar 

  166. Ferrè, E. R. & Haggard, P. Vestibular cognition: state-of-the-art and future directions. Cogn. Neuropsychol. 37, 413–420 (2020).

    Article  PubMed  Google Scholar 

  167. Hitier, M., Besnard, S. & Smith, P. F. Vestibular pathways involved in cognition. Front. Integr. Neurosci. 8, 59 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  168. Guerraz, M., Thilo, K. V., Bronstein, A. M. & Gresty, M. A. Influence of action and expectation on visual control of posture. Cogn. Brain Res. 11, 259–266 (2001).

    Article  Google Scholar 

  169. Kim, J. Head movements suggest canal and otolith projections are activated during galvanic vestibular stimulation. Neuroscience 253, 416–425 (2013).

    Article  PubMed  Google Scholar 

  170. Goldberg, J. M., Smith, C. E. & Fernández, C. Relation between discharge regularity and responses to externally applied galvanic currents in vestibular nerve afferents of the squirrel monkey. J. Neurophysiol. 51, 1236–1256 (1984).

    Article  PubMed  Google Scholar 

  171. Fitzpatrick, R. C. & Day, B. L. Probing the human vestibular system with galvanic stimulation. J. Appl. Physiol. 96, 2301–2316 (2004).

    Article  PubMed  Google Scholar 

  172. Gallagher, M., Romano, F., Bockisch, C. J., Ferrè, E. R. & Bertolini, G. Quantifying virtual self-motion sensations induced by galvanic vestibular stimulation. J. Vestib. Res. Equilib. Orientat. 33, 21–30 (2023).

    Article  Google Scholar 

  173. Guerraz, M. & Day, B. L. Expectation and the vestibular control of balance. J. Cogn. Neurosci. 17, 463–469 (2005).

    Article  PubMed  Google Scholar 

  174. Yardley, L. Interference between postural control and mental task performance in patients with vestibular disorder and healthy controls. J. Neurol. Neurosurg. Psychiatry 71, 48–52 (2001).

    Article  PubMed  PubMed Central  Google Scholar 

  175. Pellecchia, G. L. Postural sway increases with attentional demands of concurrent cognitive task. Gait Posture 18, 29–34 (2003).

    Article  PubMed  Google Scholar 

  176. Vuillerme, N., Nougier, V. & Teasdale, N. Effects of a reaction time task on postural control in humans. Neurosci. Lett. 291, 77–80 (2000).

    Article  PubMed  Google Scholar 

  177. Hunter, M. C. & Hoffman, M. A. Postural control: visual and cognitive manipulations. Gait Posture 13, 41–48 (2001).

    Article  PubMed  Google Scholar 

  178. Lim, J. & Johnson, M. B. Potential mechanisms of retronasal odor referral to the mouth. Chem. Senses 36, 283–289 (2011).

    Article  PubMed  Google Scholar 

  179. Stevenson, R. J., Mahmut, M. K. & Oaten, M. J. The role of attention in the localization of odors to the mouth. Atten. Percept. Psychophys. 73, 247–258 (2011).

    Article  PubMed  Google Scholar 

  180. Spence, C. The tongue map and the spatial modulation of taste perception. Curr. Res. Food Sci. 5, 598–610 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  181. Chaudhari, N. & Roper, S. D. The cell biology of taste. J. Cell Biol. 190, 285–296 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  182. Sclafani, A. Post-ingestive positive controls of ingestive behavior. Appetite 36, 79–83 (2001).

    Article  PubMed  Google Scholar 

  183. Stein, L. J., Nagai, H., Nakagawa, M. & Beauchamp, G. K. Effects of repeated exposure and health-related information on hedonic evaluation and acceptance of a bitter beverage. Appetite 40, 119–129 (2003).

    Article  PubMed  Google Scholar 

  184. Garcia-Burgos, D. & Zamora, M. C. Exploring the hedonic and incentive properties in preferences for bitter foods via self-reports, facial expressions and instrumental behaviours. Food Qual. Prefer. 39, 73–81 (2015).

    Article  Google Scholar 

  185. Khorisantono, P. A. et al. Dissociable effects of hunger, exposure and sensory overlap on flavour liking. Food Qual. Prefer. 119, 105211 (2024).

    Article  Google Scholar 

  186. Spence, C. Just how much of what we taste derives from the sense of smell? Flavour 4, 30 (2015).

    Article  Google Scholar 

  187. Dalton, P., Doolittle, N., Nagata, H. & Breslin, P. A. The merging of the senses: integration of subthreshold taste and smell. Nat. Neurosci. 3, 431–432 (2000).

    Article  PubMed  Google Scholar 

  188. Djordjevic, J. Effects of perceived and imagined odors on taste detection. Chem. Senses 29, 199–208 (2004).

    Article  PubMed  Google Scholar 

  189. Schifferstein, H. N. J. & Verlegh, P. W. J. The role of congruency and pleasantness in odor-induced taste enhancement. Acta Psychol. 94, 87–105 (1996). This paper reports a classic study that illustrates influences of learned associations on odour-induced taste enhancement.

    Article  Google Scholar 

  190. Stevenson, R. J. Confusing tastes and smells: how odours can influence the perception of sweet and sour tastes. Chem. Senses 24, 627–635 (1999).

    Article  PubMed  Google Scholar 

  191. Grabenhorst, F., Rolls, E. T. & Bilderbeck, A. How cognition modulates affective responses to taste and flavor: top-down influences on the orbitofrontal and pregenual cingulate cortices. Cereb. Cortex 18, 1549–1559 (2008).

    Article  PubMed  Google Scholar 

  192. Grabenhorst, F. & Rolls, E. T. Selective attention to affective value alters how the brain processes taste stimuli. Eur. J. Neurosci. 27, 723–729 (2008).

    Article  PubMed  Google Scholar 

  193. Liem, D. G., Miremadi, F., Zandstra, E. H. & Keast, R. S. Health labelling can influence taste perception and use of table salt for reduced-sodium products. Public Health Nutr. 15, 2340–2347 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  194. Chikazoe, J., Lee, D. H., Kriegeskorte, N. & Anderson, A. K. Distinct representations of basic taste qualities in human gustatory cortex. Nat. Commun. 10, 1048 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  195. Crouzet, S. M., Busch, N. A. & Ohla, K. Taste quality decoding parallels taste sensations. Curr. Biol. 25, 890–896 (2015).

    Article  PubMed  Google Scholar 

  196. Porcu, E. et al. Macroscopic information-based taste representations in insular cortex are shaped by stimulus concentration. Proc. Natl Acad. Sci. USA 117, 7409–7417 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  197. Nolden, A. A. & Hayes, J. E. Perceptual and affective responses to sampled capsaicin differ by reported intake. Food Qual. Prefer. 55, 26–34 (2017).

    Article  PubMed  Google Scholar 

  198. Hunter, S. R., Beatty, C. & Dalton, P. H. More spice, less salt: how capsaicin affects liking for and perceived saltiness of foods in people with smell loss. Appetite 190, 107032 (2023).

    Article  PubMed  Google Scholar 

  199. Cowart, B. J. Oral chemical irritation: does it reduce perceived taste intensity? Chem. Senses 12, 467–479 (1987).

    Article  Google Scholar 

  200. Lawless, H. & Stevens, D. Effects of oral chemical irritation on taste. Physiol. Behav. 32, 995–998 (1984).

    Article  PubMed  Google Scholar 

  201. Prescott, J., Allen, S. & Stephens, L. Interactions between oral chemical irritation, taste and temperature. Chem. Senses 18, 389–404 (1993).

    Article  Google Scholar 

  202. Hamazaki, T., Kaneda, M., Zhang, J., Kaneko, S. & Kajimoto, H. In: 2022 IEEE Haptics Symposium (HAPTICS) 1–6 (IEEE, Santa Barbara, CA, USA, 2022).

  203. Petit, C. E. F., Hollowood, T. A., Wulfert, F. & Hort, J. Colour–coolant–aroma interactions and the impact of congruency and exposure on flavour perception. Food Qual. Prefer. 18, 880–889 (2007).

    Article  Google Scholar 

  204. Tu, Y., Yang, Z. & Ma, C. The taste of plate: how the spiciness of food is affected by the color of the plate used to serve it. J. Sens. Stud. 31, 50–60 (2016).

    Article  Google Scholar 

  205. Pellegrino, R. & Luckett, C. R. The effect of odor and color on chemical cooling. Food Qual. Prefer. 75, 118–123 (2019).

    Article  Google Scholar 

  206. Casillas, M., Rafiee, A. & Majid, A. Iranian herbalists, but not cooks, are better at naming odors than laypeople. Cogn. Sci. 43, e12763 (2019).

    Article  PubMed  Google Scholar 

  207. Olofsson, J. K. et al. A designated odor–language integration system in the human brain. J. Neurosci. 34, 14864–14873 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  208. Lee, B. K. et al. A principal odor map unifies diverse tasks in olfactory perception. Science 381, 999–1006 (2023).

    Article  PubMed  Google Scholar 

  209. Howard, J. D., Plailly, J., Grueschow, M., Haynes, J.-D. & Gottfried, J. A. Odor quality coding and categorization in human posterior piriform cortex. Nat. Neurosci. 12, 932–938 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  210. Sagar, V., Shanahan, L. K., Zelano, C. M., Gottfried, J. A. & Kahnt, T. High-precision mapping reveals the structure of odor coding in the human brain. Nat. Neurosci. 26, 1595–1602 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  211. Gottfried, J. A., Winston, J. S. & Dolan, R. J. Dissociable codes of odor quality and odorant structure in human piriform cortex. Neuron 49, 467–479 (2006).

    Article  PubMed  Google Scholar 

  212. De Araujo, I. E., Rolls, E. T., Velazco, M. I., Margot, C. & Cayeux, I. Cognitive modulation of olfactory processing. Neuron 46, 671–679 (2005).

    Article  PubMed  Google Scholar 

  213. Djordjevic, J. et al. A rose by any other name: would it smell as sweet? J. Neurophysiol. 99, 386–393 (2008).

    Article  PubMed  Google Scholar 

  214. Herz, R. S. & von Clef, J. The influence of verbal labeling on the perception of odors: evidence for olfactory illusions? Perception 30, 381–391 (2001). This paper reports a classic study illustrating cognitive influences on odour identity perception.

    Article  PubMed  Google Scholar 

  215. Herz, R. S. The effect of verbal context on olfactory perception. J. Exp. Psychol. Gen. 132, 595–606 (2003).

    Article  PubMed  Google Scholar 

  216. Dematte, M. L., Sanabria, D. & Spence, C. Olfactory discrimination: when vision matters? Chem. Senses 34, 103–109 (2008).

    Article  PubMed  Google Scholar 

  217. Morrot, G., Brochet, F. & Dubourdieu, D. The color of odors. Brain Lang. 79, 309–320 (2001).

    Article  PubMed  Google Scholar 

  218. Seo, H.-S. & Hummel, T. Auditory–olfactory integration: congruent or pleasant sounds amplify odor pleasantness. Chem. Senses 36, 301–309 (2011).

    Article  PubMed  Google Scholar 

  219. Shanahan, L. K., Bhutani, S. & Kahnt, T. Olfactory perceptual decision-making is biased by motivational state. PLoS Biol. 19, e3001374 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  220. Zelano, C., Mohanty, A. & Gottfried, J. A. Olfactory predictive codes and stimulus templates in piriform cortex. Neuron 72, 178–187 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  221. Zhou, G. et al. Human olfactory-auditory integration requires phase synchrony between sensory cortices. Nat. Commun. 10, 1168 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  222. Hiratani, N. & Latham, P. E. Rapid Bayesian learning in the mammalian olfactory system. Nat. Commun. 11, 3845 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  223. Pierzchajlo, S. & Olofsson, J. K. In: Sensory Individuals (eds Mroczko-Wąsowicz, A. & Grush, R.) 209–224 (Oxford University Press, 2023). This is a review of cognitive influences on olfaction.

  224. Lundström, J. N., Regenbogen, C., Ohla, K. & Seubert, J. Prefrontal control over occipital responses to crossmodal overlap varies across the congruency spectrum. Cereb. Cortex 29, 3023–3033 (2019).

    Article  PubMed  Google Scholar 

  225. Porada, D. K., Regenbogen, C., Seubert, J., Freiherr, J. & Lundström, J. N. Multisensory enhancement of odor object processing in primary olfactory cortex. Neuroscience 418, 254–265 (2019).

    Article  PubMed  Google Scholar 

  226. Pashkovski, S. L. et al. Structure and flexibility in cortical representations of odour space. Nature 583, 253–258 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  227. Wilson, D. A., Fleming, G., Vervoordt, S. M. & Coureaud, G. Cortical processing of configurally perceived odor mixtures. Brain Res. 1729, 146617 (2020).

    Article  PubMed  Google Scholar 

  228. Frederick, D. E. et al. Gamma and beta oscillations define a sequence of neurocognitive modes present in odor processing. J. Neurosci. 36, 7750–7767 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  229. Iravani, B. et al. Odor identity can be extracted from the reciprocal connectivity between olfactory bulb and piriform cortex in humans. NeuroImage 237, 118130 (2021).

    Article  PubMed  Google Scholar 

  230. Stevenson, R. J. Flavor binding: its nature and cause. Psychol. Bull. 140, 487–510 (2014). This review addresses the phenomenon of perceptual binding between the chemical senses and discusses cortical regulation of the emerging shared percept.

    Article  PubMed  Google Scholar 

  231. Shankar, M. et al. An expectations-based approach to explaining the cross-modal influence of color on orthonasal olfactory identification: the influence of the degree of discrepancy. Atten. Percept. Psychophys. 72, 1981–1993 (2010).

    Article  PubMed  Google Scholar 

  232. Wilson, C. D., Serrano, G. O., Koulakov, A. A. & Rinberg, D. A primacy code for odor identity. Nat. Commun. 8, 1477 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  233. Wilson, D. A. & Stevenson, R. J. The fundamental role of memory in olfactory perception. Trends Neurosci. 26, 243–247 (2003).

    Article  PubMed  Google Scholar 

  234. de Lange, F. P., Heilbron, M. & Kok, P. How do expectations shape perception? Trends Cogn. Sci. 22, 764–779 (2018). This paper discusses how prior expectations modulate perception and sensory processing in the light of Bayesian models of perception.

    Article  PubMed  Google Scholar 

  235. Badde, S., Myers, C. F., Yuval-Greenberg, S. & Carrasco, M. Oculomotor freezing reflects tactile temporal expectation and aids tactile perception. Nat. Commun. 11, 3341 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  236. Van Ede, F., Jensen, O. & Maris, E. Tactile expectation modulates pre-stimulus β-band oscillations in human sensorimotor cortex. NeuroImage 51, 867–876 (2010).

    Article  PubMed  Google Scholar 

  237. Walsh, K. S., McGovern, D. P., Clark, A. & O’Connell, R. G. Evaluating the neurophysiological evidence for predictive processing as a model of perception. Ann. N. Y. Acad. Sci. 1464, 242–268 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  238. Angelaki, D. E. & Cullen, K. E. Vestibular system: the many facets of a multimodal sense. Annu. Rev. Neurosci. 31, 125–150 (2008).

    Article  PubMed  Google Scholar 

  239. Spence, C. & Bayne, T. In: Perception and Its Modalities (eds Stokes, D., Matthen, M. & Biggs, S.) (Oxford University Press, 2014).

  240. Yeshurun, Y. & Sobel, N. An odor is not worth a thousand words: from multidimensional odors to unidimensional odor objects. Annu. Rev. Psychol. 61, 219–241 (2010).

    Article  PubMed  Google Scholar 

  241. Green, D. M. & Swets, J. A. Signal Detection Theory and Psychophysics (Wiley, 1966).

  242. Badde, S. et al. Sensory experience during early sensitive periods shapes cross-modal temporal biases. eLife 9, e61238 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  243. Gallagher, R. M., Suddendorf, T. & Arnold, D. H. Confidence as a diagnostic tool for perceptual aftereffects. Sci. Rep. 9, 7124 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by a PRIMA grant (PR00P1_185918/1) from the Swiss National Science Foundation to P.V. J.S. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement n° 947886).

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Vetter, P., Badde, S., Ferrè, E.R. et al. Evaluating cognitive penetrability of perception across the senses. Nat Rev Psychol 3, 804–820 (2024). https://doi.org/10.1038/s44159-024-00382-1

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