Stimulus–classification and stimulus–action associations: Effects of repetition learning and durability

Quarterly Journal of Experimental Psychology

Volumn 68, Issue 9, 2015, Pages 1744-1757

  Moutsopoulou, Karolina ^a,b   Yang, Qing ^a,b   Desantis, Andrea ^c   Waszak, Florian ^a,b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Repetition learning; Stimulus response associations; Stimulus response learning durability; Stimulus response learning flexibility

Indexed keywords

ADULT; ANALYSIS OF VARIANCE; ATTENTION; AUDITORY STIMULATION; FEMALE; HEMISPHERIC DOMINANCE; HUMAN; LEARNING; MALE; PHOTOSTIMULATION; PHYSIOLOGY; REACTION TIME; RECOGNITION; TIME FACTOR; YOUNG ADULT;

ACOUSTIC STIMULATION; ADULT; ANALYSIS OF VARIANCE; ASSOCIATION LEARNING; ATTENTION; FEMALE; FUNCTIONAL LATERALITY; HUMANS; MALE; PHOTIC STIMULATION; REACTION TIME; RECOGNITION (PSYCHOLOGY); TIME FACTORS; YOUNG ADULT;

EID: 84937516610     PISSN: 17470218     EISSN: 17470226     Source Type: Journal    
DOI: 10.1080/17470218.2014.984232     Document Type: Article

References (19)

1. F.G.Ashby,, J.M.Ennis,, & B.J.Spiering, (2007). A neurobiological theory of automaticity in perceptual categorization. Psychological Review, 114, 632–656. doi: 10.1037/0033-295X.114.3.632
2. T.F.Brady,, T.Konkle,, G.A.Alvarez, & A.Oliva, (2008). Visual long-term memory has a massive storage capacity for object details. Proceedings of the National Academy of Sciences of the United States of America, 105, 14325–14329. doi: 10.1073/pnas.0803390105
3. S.R.Chamberlain,, L.Menzies,, A.Hampshire,, J.Suckling,, N.A.Fineberg,, N.del Campo,, B.J.… Sahakian, (2008). Orbitofrontal dysfunction in patients with obsessive-compulsive disorder and their unaffected relatives. Science, 321, 421–422. doi: 10.1126/science.1154433
4. I.G.Dobbins,, D.M.Schnyer,, M.Verfaelle,, & D.L.Schacter, (2004). Cortical activity reductions during repetition priming can result from rapid response learning. Nature, 428, 316–319. doi: 10.1038/nature02400
5. R.N.Henson,, D.Eckstein,, F.Waszak,, C.Frings,, & A.J.Horner, (2014). Stimulus-response bindings in priming. Trends in Cognitive Sciences, 18, 376–384. doi: 10.1016/j.tics.2014.03.004
6. A.J.Horner,, & R.N.Henson, (2008). Priming, response learning and repetition suppression. Neuropsychologia, 46, 1979–1991. doi: 10.1016/j.neuropsychologia.2008.01.018
7. A.J.Horner,, & R.N.Henson, (2009). Bindings between stimuli and multiple response codes dominate long-lag repetition priming in speeded classification tasks. Journal of Experimental Psychology-Learning Memory and Cognition, 35, 757–779. doi: 10.1037/a0015262
8. Y.F.Hsu,, & F.Waszak, (2012). Stimulus-classification traces are dominant in response learning. International Journal of Psychophysiology, 86, 262–268. doi: 10.1016/j.ijpsycho.2012.10.002
9. I.Koch,, & A.Allport, (2006). Cue-based preparation and stimulus-based priming of tasks in task switching. Memory & Cognition, 34, 433–444. doi: 10.3758/BF03193420
10. G.D.Logan, (1988). Toward an instance theory of automatization. Psychological Review, 95, 492–527. doi: 10.1037/0033-295X.95.4.492
11. G.D.Logan,, & J.L.Etherton, (1994). What is learned during automatization - The role of attention in constructing an instance. Journal of Experimental Psychology-Learning Memory and Cognition, 20, 1022–1050. doi: 10.1037/0278-7393.20.5.1022
12. K.Moutsopoulou,, & F.Waszak, (2012). Across-task priming revisited: Response and task conflicts disentangled using ex-gaussian distribution analysis. Journal of Experimental Psychology-Human Perception and Performance, 38, 367–374. doi: 10.1037/a0025858
13. K.Moutsopoulou,, & F.Waszak, (2013) Durability of classification and action learning: Diffrences revealed using ex-gaussian distribution analysis. Experimental Brain Research. doi:10.1007/s00221-013-3445-0.
14. E.A.Race,, D.Badre,, & A.D.Wagner, (2010). Multiple forms of learning yield temporally distinct electrophysiological repetition effects. Cerebral Cortex, 20, 1726–1738. doi: 10.1093/cercor/bhp233
15. E.A.Race,, S.Shanker,, & A.D.Wagner, (2009). Neural priming in human frontal cortex: Multiple forms of learning reduce demands on the prefrontal executive system. Journal of Cognitive Neuroscience, 21(9), 1766–1781. doi: 10.1162/jocn.2009.21132
16. F.Waszak,, & B.Hommel, (2007). The costs and benefits of cross-task priming. Memory & Cognition, 35, 1175–1186. doi: 10.3758/BF03193487
17. F.Waszak,, B.Hommel,, & A.Allport, (2003). Task-switching and long-term priming: Role of episodic stimulus-task bindings in task-shift costs. Cognitive Psychology, 46, 361–413. doi: 10.1016/S0010-0285(02)00520-0
18. G.Wylie,, & A.Allport, (2000). Task switching and the measurement of “switch costs”. Psychological Research, 63, 212–233. doi: 10.1007/s004269900003
19. G.Xue,, D.G.Ghahremani,, & R.A.Poldrack, (2008). Neural substrates for reversing stimulus-outcome and stimulus-response associations. Journal of Neuroscience, 28, 11196–11204. doi: 10.1523/JNEUROSCI.4001-08.2008