Article published in:
Pragmatics & Cognition
Vol. 26:2/3 (2019) ► pp. 357385
References
Adams, Rick A., Klaas Enno Stephan, Harriet R. Brown, Christopher D. Frith & Karl J. Friston
2013The computational anatomy of psychosis. Frontiers in Psychiatry 41. 47. DOI logoGoogle Scholar
Adelson, Beth
1984When novices surpass experts: The difficulty of a task may increase with expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition 10(3). 483–495.Google Scholar
Allen, Roy, Peter Mcgeorge, David Pearson & Alan B. Milne
2004Attention and expertise in multiple target tracking. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition 18(3). 337–347. DOI logoGoogle Scholar
Barrett, Lisa Feldman & Moshe Bar
2009See it with feeling: Affective predictions during object perception. Philosophical Transactions of the Royal Society of London: Biological Sciences 364(1521). 1325–1334. DOI logoGoogle Scholar
Barton, Stephen B. & Anthony J. Sanford
1993A case study of anomaly detection: Shallow semantic processing and cohesion establishment. Memory & Cognition 21(4). 477–487. DOI logoGoogle Scholar
Bever, Thomas G.
1970The cognitive basis for linguistic structures. Cognition and the Development of Language 279(362). 1–61.Google Scholar
Brown, Harriet & Karl J. Friston
2012Free-energy and illusions: The cornsweet effect. Frontiers in Psychology 31. 43. DOI logoGoogle Scholar
Cantor, Alison D. & Elizabeth J. Marsh
2017Expertise effects in the Moses illusion: Detecting contradictions with stored knowledge. Memory 25(2). 220–230. DOI logoGoogle Scholar
Castel, Alan D., David P. McCabe, Henry L. Roediger III & Jeffrey Heitman
2007The dark side of expertise: Domain-specific memory errors. Psychological Science 18(1). 3–5. DOI logoGoogle Scholar
Che, Wanxiang & Yue Zhang
2018Deep learning in lexical analysis and parsing. Deep Learning in Natural Language, 79–116. Springer, Singapore.Google Scholar
Chi, Michelene T., Paul J. Feltovich & Robert Glaser
1981Categorization and representation of physics problems by experts and novices. Cognitive Science 5(2). 121–152. DOI logoGoogle Scholar
Cho, Kyunghyun, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk & Yoshua Bengio
2014Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078. (20 June, 2018.) DOI logoGoogle Scholar
Christiansen, Morten & Nick Chater
2008Language as shaped by the brain. Behavioral and Brain Sciences 31(5). 489–509. DOI logoGoogle Scholar
2016aThe Now-or-Never bottleneck: A fundamental constraint on language. Behavioral and Brain Sciences 391. 1–19. DOI logoGoogle Scholar
2016bSqueezing through the Now-or-Never bottleneck: Reconnecting language processing, acquisition, change, and structure. Behavioral and Brain Sciences 391. 46–58.Google Scholar
Churchland, Patricia S., Vilayanur S. Ramachandran & Terrence J. Sejnowski
1994A critique of pure vision In Christof Koch & Joel C. Davis (eds.), Large-scale Neuronal Theories of the Brain, 23–60. Cambridge: MIT Press.Google Scholar
Clark, Andy
2013Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36(3). 181–204. DOI logoGoogle Scholar
2015aEmbodied prediction. Open MIND. Frankfurt am Main: MIND Group.Google Scholar
2015bRadical predictive processing. The Southern Journal of Philosophy 53(S1). 3–27. DOI logoGoogle Scholar
2015cSurfing uncertainty: Prediction, action, and the embodied mind. New York, NY: Oxford University Press.Google Scholar
2016Attention alters predictive processing. Behavioral and Brain Sciences 391. DOI logoGoogle Scholar
Cohen, Michael A., Daniel C. Dennett & Nancy Kanwisher
2016What is the bandwidth of perceptual experience? Trends in Cognitive Sciences 20(5). 324–335. DOI logoGoogle Scholar
Colombo, Matteo & Stephan Hartmann
2015Bayesian cognitive science, unification, and explanation. The British Journal for the Philosophy of Science 68(2). 451–484. DOI logoGoogle Scholar
Cowan, Nelson
2001The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences 24(1). 87–114. DOI logoGoogle Scholar
2010The Magical Mystery Four: How is Working Memory Capacity Limited, and Why? Current Directions in Psychological Science 19(1). 51–57. DOI logoGoogle Scholar
DeLong, Katherine A., Thomas P. Urbach & Marta Kutas
2005Probabilistic word pre-activation during language comprehension inferred from electrical brain activity. Nature Neuroscience 8(8). 1117. DOI logoGoogle Scholar
2017Concerns with Nieuwland et al. multi-lab study (2017). Kutas Cognitive Electrophysiology Lab Working Paper. http://​kutaslab​.ucsd​.edu​/pdfs​/FinalDUK17Comment9LabStudy​.pdf. (17 May 2018.)
Drenhaus, Heiner, Vera Demberg, Judith Köhne, J. & Francesca Delogu
2014Incremental and predictive discourse processing based on causal and concessive discourse markers: ERP studies on German and English. Annual Meeting of the Cognitive Science Society 36(36).Google Scholar
Dronkers, Nina F.
2000The pursuit of brain-language relationships. Brain & Language 71(1). 59–61. DOI logoGoogle Scholar
Elsabbagh, Mayada & Annette Karmiloff-Smith
2006Modularity of mind and language. The Encyclopaedia of Language and Linguistics, 218–224. DOI logoGoogle Scholar
Ericsson, K. Anders, William G. Chase & Steve Faloon
1980Acquisition of a memory skill. Science 208(4448). 1181–1182. DOI logoGoogle Scholar
Erickson, Thomas D. & Mark E. Mattson
1981From words to meaning: A semantic illusion. Journal of Verbal Learning and Verbal Behavior 20(5). 540–551. DOI logoGoogle Scholar
Federmeier, Kara D. & Marta Kutas, M.
1999A rose by any other name: Long-term memory structure and sentence processing. Journal of Memory and Language 41(4). 469–495. DOI logoGoogle Scholar
Feldman, Harriet & Karl Friston
2010Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience 41. 215. DOI logoGoogle Scholar
Ferreira, Fernanda, Karl G. D. Bailey & Vittoria Ferraro
2002Good-enough representations in language comprehension. Current Directions in Psychological Science 11(1). 11–15. DOI logoGoogle Scholar
Ferreira, Fernanda & Charles Clifton Jr
1986The independence of syntactic processing. Journal of Memory and Language 25(3). 348–368. DOI logoGoogle Scholar
Filik, Ruth & Anthony J. Sanford
2008When is cataphoric reference recognized? Cognition 107(3). 1112–1121. DOI logoGoogle Scholar
Fletcher, Paul C. & Chris. D. Frith
2009Perceiving is believing: A Bayesian approach to explaining the positive symptoms of schizophrenia. Nature Reviews Neuroscience 10(1). 48–58. DOI logoGoogle Scholar
Friston, Karl
2002Beyond phrenology: What can neuroimaging tell us about distributed circuitry? Annual Review of Neuroscience 25(1). 221–250. DOI logoGoogle Scholar
2005A theory of cortical responses. Philosophical Transactions of the Royal Society of London: Biological Sciences 360(1456). 815–836. DOI logoGoogle Scholar
Friston, Karl, Marco Lin, Chris D. Frith, Giovanni Pezzulo, J. Allan Hobson & Sasha Ondobaka
2017Active inference, curiosity and insight. Neural Computation 29(10). 2633–2683. DOI logoGoogle Scholar
Friston, Karl, Francesco Rigoli, Dmitri Ognibene, Christoph Mathys, Thomas Fitzgerald & Giovanni Pezzulo
2015Active inference and epistemic value. Cognitive Neuroscience 6(4). 187–214. DOI logoGoogle Scholar
Giard, Marie H. & F. Péronnet
1999Auditory-visual integration during multimodal object recognition in humans: A behavioral and electrophysiological study. Journal of Cognitive Neuroscience 11(5). 473–490. DOI logoGoogle Scholar
Glorot, Xavier, Antoine Bordes & Yoshua Bengio
2011Domain adaptation for large-scale sentiment classification: A deep learning approach. 28th International Conference on Machine Learning (ICML-11), 513–520.Google Scholar
Goodglass, Harold
1993Understanding aphasia. San Diego: Academic Press.Google Scholar
Gregory, Richard L.
1997Knowledge in perception and illusion. Philosophical Transactions of the Royal Society: Biological Sciences 352(1358). 1121–1127. DOI logoGoogle Scholar
Hashimoto, Kazuma, Caiming Xiong, Yoshimasa Tsuruoka & Richard Socher
2016A joint many-task model: Growing a neural network for multiple NLP tasks. arXiv preprint arXiv:1611.01587. (15 June, 2018.)Google Scholar
Heeger, David J.
2017Theory of cortical function. National Academy of Sciences (NAS) 114(8). 1773–1782. DOI logoGoogle Scholar
Heiser, Marc, Marco Iacoboni, Fumiko Maeda, Jake Marcus & John C. Mazziotta
2003The essential role of Broca’s area in imitation. European Journal of Neuroscience 17(5). 1123–1128. DOI logoGoogle Scholar
Helmholtz, Hermann
1860Treatise on physiological optics (J. P. C. Southall, Trans. 1962 ed., Vol. 31). New York: Dover.Google Scholar
Hohwy, Jacob, Andreas Roepstorff & Karl Friston
2008Predictive coding explains binocular rivalry: An epistemological review. Cognition 108(3). 687–701. DOI logoGoogle Scholar
Horga, Guillermo, Kelly C. Schatz, Anissa Abi-Dargham & Bradley S. Peterson
2014Deficits in Predictive Coding Underlie Hallucinations in Schizophrenia. The Journal of Neuroscience 34(24). 8072–8082. DOI logoGoogle Scholar
Johnson, Kathy E. & Carolyn B. Mervis
1997Effects of varying levels of expertise on the basic level of categorization. Journal of Experimental Psychology: General 126(3). 248–277. DOI logoGoogle Scholar
Karimi, Hossein & Fernanda Ferreira
2016Good-enough linguistic representations and online cognitive equilibrium in language processing. The Quarterly Journal of Experimental Psychology 69(5). 1013–1040. DOI logoGoogle Scholar
Kempson, Ruth, Eleni Gregoromichelaki & Christine Howes
2018Language as an adaptive tool for interaction: A niche effect or a radical departure? Dynamic Syntax Workshop. 11. Edinburgh, UK.Google Scholar
Kirby, Simon, Kenny Smith & Hannah Cornish
2008Language, Learning and Cultural Evolution: How linguistic transmission leads to cumulative adaptation In Robin Cooper & Ruth Kempson (eds.), Language in Flux: Dialogue Coordination, Language Variation, Change and Evolution. London: College Publications.Google Scholar
Kiros, Ryan, Ruslan Salakhutdinov & Richard S. Zemel
2014Multimodal neural language models. Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2). 595–603.Google Scholar
Köhne, Judith & Vera Demberg
2013The time-course of processing discourse connectives. Proceedings of the Annual Meeting of the Cognitive Science Society 351. Retrieved from https://​escholarship​.org​/uc​/item​/3ng7w640. (20 June, 2018.)
Kowsari, Kamran, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber & Laura E. Barnes
2017Hdltex: Hierarchical deep learning for text classification. Machine Learning and Applications (ICMLA), 364–371.Google Scholar
Kuperberg, Gina R. & T. Florian Jaeger
2016What do we mean by prediction in language comprehension? Language, Cognition and Neuroscience 31(1). 32–59. DOI logoGoogle Scholar
Lee, Tai Sing. & David Mumford
2003Hierarchical Bayesian inference in the visual cortex. Journal of the Optical Society of America A, Optics, Image Science, and Vision 20(7). 1434–1448. DOI logoGoogle Scholar
Liu, Jingzhou, Wei-Cheng Chang, Yuexin Wu & Yiming Yang
2017Deep learning for extreme multi-label text classification. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM), 115–124.Google Scholar
Long, Mingsheng & Jianmin Wang
2015Learning multiple tasks with deep relationship networks. CoRR. 31.Google Scholar
Lotem, Arnon, Oleg Kolodny, Joseph Y. Halpern, Luca Onnis & Shimon Edelman
2016The bottleneck may be the solution, not the problem. Behavioral and Brain Sciences 391. 39–40. DOI logoGoogle Scholar
MacDonald, John & Harry McGurk
1978Visual influences on speech perception processes. Perception & Psychophysics 24(3). 253–257. DOI logoGoogle Scholar
MacDonald, Maryellen C., Neal J. Pearlmutter & Mark S. Seidenberg
1994The lexical nature of syntactic ambiguity resolution. Psychological Review 101(4). 676–703. DOI logoGoogle Scholar
Marr, David
1976Early processing of visual information. Philosophical Transactions of the Royal Society of London: Biological Sciences 275(942). 483–519.Google Scholar
McDonald, Scott A. & Richard C. Shillcock
2003Eye movements reveal the on-line computation of lexical probabilities during reading. Psychological Science 14(6). 648–652. DOI logoGoogle Scholar
McGurk, Harry & John MacDonald
1976Hearing lips and seeing voices. Nature 264(5588). 746–748. DOI logoGoogle Scholar
Misra, Ishan, Abhinav Shrivastava, Abhinav Gupta & Martial Hebert
2016Cross-stitch networks for multi-task learning. IEEE Conference on Computer Vision and Pattern Recognition, 3994–4003.Google Scholar
Molholm, Sophie, Walter Ritter, Micah M. Murray, Daniel C. Javitt, Charles E. Schroeder & John J. Foxe
2002Multisensory auditory – visual interactions during early sensory processing in humans: A high-density electrical mapping study. Cognitive Brain Research 14(1). 115–128. DOI logoGoogle Scholar
Ngiam, Jiquan, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee & Andrew Y. Ng
2011Multimodal deep learning. 28th international conference on machine learning (ICML-11), 689–696.Google Scholar
Nieuwland, Mante S., Stephen Politzer-Ahles, Evelien Heyselaar, Katrien Segaert, Emily Darley, Nina Kazanina, Sarah von Grebmer zu Wolfsthurn et al.
2017Limits on prediction in language comprehension: A multi-lab failure to replicate evidence for probabilistic pre-activation of phonology. BioRxiv. (05 July 2018.)Google Scholar
Orlandi, Nico & Lee Geoff
2019How Radical is Predictive Processing? In Matteo Colombo, Elizabeth Irvine & Mog Stapleton (eds.), Andy Clark and his Critics. 206–219. New York, NY: Oxford University Press. DOI logoGoogle Scholar
Papathomas, Thomas V.
2017The Hollow-Mask Illusion and Variations. In Arthur G. Shapiro & Dejan Todorović (eds.), The Oxford Compendium of Visual Illusions. 614–619. New York, NY: Oxford University Press.Google Scholar
Pashler, Harold
1988Familiarity and visual change detection. Perception & Psychophysics 44(4). 369–378. DOI logoGoogle Scholar
Pellicano, Elizabeth & David Burr
2012When the world becomes ‘too real’: A Bayesian explanation of autistic perception. Trends in Cognitive Sciences 16(10). 504–510. DOI logoGoogle Scholar
Pezzulo, Giovanni
2014Why do you fear the bogeyman? An embodied predictive coding model of perceptual inference. Cognitive, Affective, & Behavioral Neuroscience 14(3). 902–911. DOI logoGoogle Scholar
Rao, Rajesh P. & Dana H. Ballard
1999Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience 2(1). 79. DOI logoGoogle Scholar
Reed, Scott, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele & Honglak Lee
2016Generative adversarial text to image synthesis. arXiv preprint arXiv:1605.05396.Google Scholar
Remez, Robert E., Daria F. Ferro, Kathryn R. Dubowski, Judith Meer, Robin S. Broder & Morgana L. Davids
2010Is desynchrony tolerance adaptable in the perceptual organization of speech? Attention, Perception, & Psychophysics 72(8). 2054–2058. DOI logoGoogle Scholar
Rohde, Hannah & William S. Horton
2014Anticipatory looks reveal expectations about discourse relations. Cognition 133(3). 667–691. DOI logoGoogle Scholar
Roy, Deb & Niloy Mukherjee
2005Towards situated speech understanding: Visual context priming of language models. Computer Speech & Language 19(2). 227–248. DOI logoGoogle Scholar
Shallice, Tim
1988From neuropsychology to mental structure. New York, NY: Cambridge University Press. DOI logoGoogle Scholar
Simons, Daniel J. & Christopher F. Chabris
1999Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception 28(9). 1059–1074. DOI logoGoogle Scholar
Slattery, Timothy J., Patrick Sturt, Kiel Christianson, Masaya Yoshida & Fernanda Ferreira
2013Lingering misinterpretations of garden path sentences arise from competing syntactic representations. Journal of Memory and Language 69(2). 104–120. DOI logoGoogle Scholar
Sperber, Dan
2002In defence of massive modularity. In Emmanuel Dupoux (ed.), Language, Brain and Cognitive Development: Essays in Honor of Jacques Mehler, 47–57. Cambridge, Mass.: MIT Press.Google Scholar
Spratling, Michael W.
2008Reconciling predictive coding and biased competition models of cortical function. Frontiers in Computational Neuroscience 2. 4.Google Scholar
2017A review of predictive coding algorithms. Brain and Cognition 1121. 92–97. DOI logoGoogle Scholar
Stephan, Klaas E., Zina M. Manjaly, Christoph D. Mathys, Lilian A. Weber, Saee Paliwal, Tim Gard, Marc Tittgemeyer et al.
2016Allostatic self-efficacy: A metacognitive theory of dyshomeostasis-induced fatigue and depression. Frontiers in Human Neuroscience 101. 550. DOI logoGoogle Scholar
Sutskever, Ilya, Oriol Vinyals & Quoc V. Le
2014Sequence to sequence learning with neural networks. Advances in Neural Information Processing Systems 271. 3104–3112.Google Scholar
Talsma, Durk
2015Predictive coding and multisensory integration: An attentional account of the multisensory mind. Frontiers in Integrative Neuroscience 91. 19. DOI logoGoogle Scholar
Taylor, John R.
2012The mental corpus: How language is represented in the mind. Oxford University Press. DOI logoGoogle Scholar
Traxler, Matthew J.
2012Introduction to psycholinguistics understanding language science. Chichester, UK, Malden, Mass.: Wiley-Blackwell.Google Scholar
Van Oostendorp, Herre & Sjaak De Mul, S.
1990Moses beats Adam: A semantic relatedness effect on a semantic illusion. Acta Psychologica 74(1). 35–46. DOI logoGoogle Scholar
Vervaeke, John, Timothy P. Lillicrap & Blake A. Richards
2012Relevance realization and the emerging framework in cognitive science. Journal of Logic and Computation 22(1). 79–99. DOI logoGoogle Scholar
Wiese, Wanja
2018Experienced Wholeness: Integrating Insights from Gestalt Theory, Cognitive Neuroscience, and Predictive Processing. Cambridge, Mass.: MIT Press. DOI logoGoogle Scholar
Williams, Daniel
2018Predictive coding and thought. Synthese 1971. 1–27.Google Scholar
Wu, Yonghui, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun et al.
2016Google’s neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144.Google Scholar
Yu, Mo & Mark Dredze
2014Improving lexical embeddings with semantic knowledge. 52nd Annual Meeting of the Association for Computational Linguistics 2(2). 545–550.Google Scholar
Zarcone, Alessandra, Marten Van Schijndel, Jorrig Vogels, & Vera Demberg
2016Salience and attention in surprisal-based accounts of language processing. Frontiers in Psychology 71. 844. DOI logoGoogle Scholar