Only time will tell – why temporal information is essential for our neuroscientific understanding of semantics

Psychonomic Bulletin and Review

Volumn 23, Issue 4, 2016, Pages 1072-1079

  Hauk, Olaf ^a  

^a MRC COGNITION AND BRAIN SCIENCES UNIT   (United Kingdom)

Author keywords

Embodied cognition; Neuroimaging; Semantics; Time course

Indexed keywords

BRAIN; EPISODIC MEMORY; HUMAN; LONG TERM MEMORY; MEMORY; NEUROIMAGING; NEUROSCIENCE; PSYCHOLOGICAL THEORY; RESEARCH; SEMANTICS; SHORT TERM MEMORY;

BRAIN; HUMANS; MEMORY; MEMORY, EPISODIC; MEMORY, LONG-TERM; MEMORY, SHORT-TERM; NEUROIMAGING; NEUROSCIENCES; PSYCHOLOGICAL THEORY; RESEARCH; SEMANTICS;

EID: 84974794908     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/s13423-015-0873-9     Document Type: Article

References (73)

1. Ahissar, M., & Hochstein, S. (2004). The reverse hierarchy theory of visual perceptual learning. Trends in Cognitive Sciences, 8, 457–464.
2. Amsel, B. D. (2011). Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials. Neuropsychologia, 49, 970–983.
3. Amsel, B. D., Urbach, T. P., & Kutas, M. (2013). Alive and grasping: Stable and rapid semantic access to an object category but not object graspability. NeuroImage, 77, 1–13.
4. Anderson, J. R. (1978). Arguments concerning representations for mental imagery. Psychological Review, 85, 249–277.
5. Baddeley, A. (2003). Working memory and language: an overview. Journal of Communication Disorders, 36, 189–208.
6. Balota, D. A., & Chumbley, J. I. (1984). Are lexical decisions a good measure of lexical access? The role of word frequency in the neglected decision stage. Journal of Experimental Psychology. Human Perception and Performance, 10, 340–357.
7. Balota, D. A., & Yap, M. J. (2006). Attentional control and flexible lexical processing: Explorations of the magic moment of word recognition. In S. Andrews (Ed.), From inkmarks to ideas: Current issues in lexical processing (pp. 229–258). New York: Psychology Press.
8. Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., … Halgren, E. (2006). Top-down facilitation of visual recognition. Proc Natl Acad Sci U S A, 103, 449–454.
9. Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617–645.
10. Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012). Canonical microcircuits for predictive coding. Neuron, 76, 695–711.
11. Binder, J. R., & Desai, R. H. (2011). The neurobiology of semantic memory. Trends in Cognitive Sciences, 15, 527–536.
12. Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex, 19, 2767–2796.
13. Buckner, R. L. (1998). Event-related fMRI and the hemodynamic response. Human Brain Mapping, 6, 373–377.
14. Bullier, J. (2001). Integrated model of visual processing. Brain Research. Brain Research Reviews, 36, 96–107.
15. Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., … Knight, R. T. (2006). High gamma power is phase-locked to theta oscillations in human neocortex. Science, 313, 1626–1628.
16. Carandini, M. (2012). From circuits to behavior: a bridge too far? Nature Neuroscience, 15, 507–509.
17. Carreiras, M., Armstrong, B. C., Perea, M., & Frost, R. (2014). The what, when, where, and how of visual word recognition. Trends in Cognitive Sciences, 18, 90–98.
18. Chen, Y., Davis, M. H., Pulvermuller, F., & Hauk, O. (2013). Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI. Frontiers in Human Neuroscience, 7, 376.
19. Chen, Y., Davis, M. H., Pulvermuller, F., & Hauk, O. (2015). Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics. Journal of Cognitive Neuroscience, 1–14.
20. Damasio, A. R. (1989). Time-locked multiregional retroactivation: a systems-level proposal for the neural substrates of recall and recognition. Cognition, 33, 25–62.
21. Deutsch, J. A., & Deutsch, D. (1963). Some theoretical considerations. Psychological Review, 70, 80–90.
22. Devlin, J. T., & Watkins, K. E. (2007). Stimulating language: insights from TMS. Brain, 130, 610–622.
23. Embick, D., & Poeppel, D. (2014). Towards a computational(ist) neurobiology of language: correlational, integrated and explanatory neurolinguistics. Language, Cognition and Neuroscience.
24. Engel, A. K., & Fries, P. (2010). Beta-band oscillations: signalling the status quo? Current Opinion in Neurobiology, 20, 156–165.
25. Gold, B. T., Balota, D. A., Jones, S. J., Powell, D. K., Smith, C. D., & Andersen, A. H. (2006). Dissociation of automatic and strategic lexical-semantics: functional magnetic resonance imaging evidence for differing roles of multiple frontotemporal regions. The Journal of Neuroscience, 26, 6523–6532.
26. Gross, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O., … Schoffelen, J. M. (2013). Good practice for conducting and reporting MEG research. Neuroimage, 65, 349–363.
27. Harnad, S. (1990). The symbol grounding problem. Physica D, 42, 335–346.
28. Hauk, O., Coutout, C., Holden, A., & Chen, Y. (2012). The time-course of single-word reading: evidence from fast behavioral and brain responses. NeuroImage, 60, 1462–1477.
29. Hauk, O., Davis, M. H., Ford, M., Pulvermuller, F., & Marslen-Wilson, W. D. (2006). The time course of visual word recognition as revealed by linear regression analysis of ERP data. NeuroImage, 30, 1383–1400.
30. Hauk, O., Davis, M. H., Kherif, F., & Pulvermuller, F. (2008a). Imagery or meaning? Evidence for a semantic origin of category-specific brain activity in metabolic imaging. The European Journal of Neuroscience, 27, 1856–1866.
31. Hauk, O., Shtyrov, Y., & Pulvermuller, F. (2008b). The time course of action and action-word comprehension in the human brain as revealed by neurophysiology. Journal of Physiology, Paris, 102, 50–58.
32. Hauk, O., & Tschentscher, N. (2013). The Body of Evidence: What Can Neuroscience Tell Us about Embodied Semantics? Frontiers in Psychology, 4, 50.
33. Henson, R. N. (2005). What can functional neuroimaging tell the experimental psychologist? Quarterly Journal of Experimental Psychology Section a-Human Experimental Psychology, 58, 193–233.
34. Hoffman, P., Jefferies, E., & Ralph, M. A. (2011). Remembering 'zeal' but not 'thing': reverse frequency effects as a consequence of deregulated semantic processing. Neuropsychologia, 49, 580–584.
35. Jeannerod, M., & Frak, V. (1999). Mental imaging of motor activity in humans. Current Opinion in Neurobiology, 9, 735–739.
36. Jobard, G., Crivello, F., & Tzourio-Mazoyer, N. (2003). Evaluation of the dual route theory of reading: a metanalysis of 35 neuroimaging studies. NeuroImage, 20, 693–712.
37. Kosslyn, S. M. (2005). Mental images and the Brain. Cognitive Neuropsychology, 22, 333–347.
38. Lamme, V. A., & Roelfsema, P. R. (2000). The distinct modes of vision offered by feedforward and recurrent processing. Trends in Neurosciences, 23, 571–579.
39. Lee, A. C., Graham, K. S., Simons, J. S., Hodges, J. R., Owen, A. M., & Patterson, K. (2002). Regional brain activations differ for semantic features but not categories. Neuroreport, 13, 1497–1501.
40. Lehmann, D., Pascual-Marqui, R. D., & Michel, C. (2009). EEG microstates. In Scholarpedia (Vol. 4:7632).
41. Mahon, B. Z. (2014). What is embodied about cognition? Language, Cognition and Neuroscience.
42. Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology, Paris, 102, 59–70.
43. Marr, D. (1982). Vision. San Francisco: W. H. Freeman and Company.
44. Mechelli, A., Gorno-Tempini, M. L., & Price, C. J. (2003). Neuroimaging studies of word and pseudoword reading: consistencies, inconsistencies, and limitations. Journal of Cognitive Neuroscience, 15, 260–271.
45. Meyer, K., & Damasio, A. (2009). Convergence and divergence in a neural architecture for recognition and memory. Trends in Neurosciences, 32, 376–382.
46. Morris, J. S., Friston, K. J., Buchel, C., Frith, C. D., Young, A. W., Calder, A. J., & Dolan, R. J. (1998). A neuromodulatory role for the human amygdala in processing emotional facial expressions. Brain, 121(Pt 1), 47–57.
47. Page, M. P. (2006). What can't functional neuroimaging tell the cognitive psychologist? Cortex, 42, 428–443.
48. Paivio, A. (1986). Mental Representations - a Dual Coding Approach. New York: Oxford University Press.
49. Patterson, K., Nestor, P. J., & Rogers, T. T. (2007). Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews. Neuroscience, 8, 976–987.
50. Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Jr., … Taylor, M. J. (2000). Guidelines for using human event-related potentials to study cognition: recording standards and publication criteria. Psychophysiology, 37, 127–152.
51. Price, C. J. (2000). The anatomy of language: contributions from functional neuroimaging. Journal of Anatomy, 197(Pt 3), 335–359.
52. Pulvermuller, F. (2013). How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics. Trends in Cognitive Sciences, 17, 458–470.
53. Pulvermüller, F. (1999). Words in the brain's language. Behavioral & Brain Sciences, 22, 253–279. discussion 280–336.
54. Rapp, B., & Caramazza, A. (1993). On the Distinction between Deficits of Access and Deficits of Storage - a Question of Theory. Cognitive Neuropsychology, 10, 113–141.
55. Ratcliff, R., Gomez, P., & McKoon, G. (2004). A diffusion model account of the lexical decision task. Psychological Review, 111, 159–182.
56. Rogers, T. T., Hocking, J., Mechelli, A., Patterson, K., & Price, C. (2005). Fusiform activation to animals is driven by the process, not the stimulus. Journal of Cognitive Neuroscience, 17, 434–445.
57. Rogers, T. T., Lambon Ralph, M. A., Garrard, P., Bozeat, S., McClelland, J. L., Hodges, J. R., & Patterson, K. (2004). Structure and deterioration of semantic memory: a neuropsychological and computational investigation. Psychological Review, 111, 205–235.
58. Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3, 417–457.
59. Shebani, Z., & Pulvermuller, F. (2013). Moving the hands and feet specifically impairs working memory for arm- and leg-related action words. Cortex, 49, 222–231.
60. Siegel, M., Donner, T. H., & Engel, A. K. (2012). Spectral fingerprints of large-scale neuronal interactions. Nature Reviews. Neuroscience, 13, 121–134.
61. Singh, K. D. (2012). Which "neural activity" do you mean? fMRI, MEG, oscillations and neurotransmitters. NeuroImage, 62, 1121–1130.
62. Strijkers, K., Bertrand, D., & Grainger, J. (2015). Seeing the same words differently: the time course of automaticity and top-down intention in reading. Journal of Cognitive Neuroscience, 1–10.
63. Taylor, J. S., Rastle, K., & Davis, M. H. (2013). Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies. Psychological Bulletin, 139, 766–791.
64. Thompson-Schill, S. L., D'Esposito, M., Aguirre, G. K., & Farah, M. J. (1997). Role of left inferior prefrontal cortex in retrieval of semantic knowledge: a reevaluation. Proceedings of the National Academy of Sciences of the United States of America, 94, 14792–14797.
65. Treisman, A. M., & Riley, J. G. (1969). Is selective attention selective perception or selective response? A further test. Journal of Experimental Psychology, 79, 27–34.
66. Valdes-Sosa, P. A., Roebroeck, A., Daunizeau, J., & Friston, K. (2011). Effective connectivity: Influence, causality and biophysical modeling. NeuroImage, 58, 339–361.
67. van Dam, W. O., Rueschemeyer, S. A., Lindemann, O., & Bekkering, H (2010). Context effects in embodied lexical-semantic processing. Front Psychol, 1, 150.
68. Visser, M., Jefferies, E., & Lambon Ralph, M. A. (2010). Semantic processing in the anterior temporal lobes: a meta-analysis of the functional neuroimaging literature. Journal of Cognitive Neuroscience, 22, 1083–1094.
69. Warrington, E. K., & Shallice, T. (1979). Semantic access dyslexia. Brain, 102, 43–63.
70. Wheatley, T., Weisberg, J., Beauchamp, M. S., & Martin, A. (2005). Automatic priming of semantically related words reduces activity in the fusiform gyrus. Journal of Cognitive Neuroscience, 17, 1871–1885.
71. Whitney, C., Kirk, M., O'Sullivan, J., Lambon Ralph, M. A., & Jefferies, E. (2012). Executive semantic processing is underpinned by a large-scale neural network: revealing the contribution of left prefrontal, posterior temporal, and parietal cortex to controlled retrieval and selection using TMS. Journal of Cognitive Neuroscience, 24, 133–147.
72. Willems, R. M., Toni, I., Hagoort, P., & Casasanto, D. (2010). Neural Dissociations between Action Verb Understanding and Motor Imagery. Journal of Cognitive Neuroscience, 22, 2387–2400.
73. Woodhead, Z. V., Barnes, G. R., Penny, W., Moran, R., Teki, S., Price, C. J., & Leff, A. P. (2014). Reading front to back: MEG evidence for early feedback effects during word recognition. Cerebral Cortex, 24, 817–825.