Neural adaptability and inspection time

Proceedings of the 2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009

Volumn , Issue , 2009, Pages 52-59

  Garaas, Tyler ^a   Lo, Henry ^a   Nester, Paul ^a   Pepe, Richard ^a   Pomplun, Marc ^a  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

Author keywords

Inspection time; Intelligence; Neural adaptability; Neural plasticity; Reinforcement learning; Spatial learning

Indexed keywords

INSPECTION TIME; INTELLIGENCE; NEURAL ADAPTABILITY; NEURAL PLASTICITY; SPATIAL LEARNING;

INSPECTION; PLASTICITY; REINFORCEMENT; REINFORCEMENT LEARNING;

EDUCATION;

EID: 70449413795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2009.5250818     Document Type: Conference Paper

References (41)

1. Wechsler, D. (1958). The Measurement and Appraisal of Adult Intelligence, 4th ed. Baltimore, MD: Williams & Wilkins.
2. Woodcock, R. W. & Johnson, M. B. (1989). Woodcock-Johnson Psycho-Educational Batter-Revised. Allen, TX: DLM.
3. Raven, J. C. (1938). Progressive Matrices: A Perceptual Test of Intelligence. London, UK: H. K. Lewis.
4. Neisser, U., Boodoo, G., Bouchard, T., Boykin, A. W., Brody, N., Ceci, S. J., Alpern, D., Loehlin, H., Perloff, R., Sternberg, R. & Urbina, S. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77-101.
5. Jensen, A. R. (1982). Reaction time and psychometricg. In H. J. Eysenck (Ed.), A Modelfor Intelligence (pp. 33-132). Berlin, Germany: Springer-Verlag.
6. Longstreth, L. E. (1984). Jensen's reaction-time investigations of intelligence: A critique. Intelligence, 8, 139-160.
7. Deary, I. J. & Stough, C. (1996). Intelligence and inspection time: Achievements, prospects, and problems. American Psychologist, 51, 599-608. (Pubitemid 126423848)
8. Kranzler, J. H. & Jensen, A. R. (1989). Inspection time and intelligence: A meta-analysis. Intelligence, 13, 329-347.
9. Nettelbeck, T. (1987). Inspection time and intelligence. In P. A. Vernon (Ed.), Speed of In/ormation Processing and Intelligence (pp. 295-346). Norwood, NH: Ablex.
10. Deary, I. J. (1993). Inspection time and WAIS-R IQ subtypes: A confirmatory factor analysis study. Intelligence, 17, 223-236.
11. Bums, N. R. & Nettelbeck, T. (2003). Inspection time in the structure of cognitive abilities. Intelligence, 31, 237-255.
12. Bums, N. R., Nettelbeck, T. & Cooper, C. J. (1999). Inspection time correlates with general speed of processing but not with fluid ability. Intelligence, 27, 37-44.
13. O'Connor, T. A. & Bums, N. R. (2003). Inspection time and general speed of processing. Personality and Individual Differences, 35, 713-724.
14. Horn, J. & Noll, J. (1994). A system for understanding cognitive capabilities: A theory and the evidence on which it is based. In D. K. Detterman (Ed.), Current Topics in Human Intelligence, Vol. 4: Theories of Intelligence (pp. 93-132). New York, NY: Springer-Verlag.
15. Garlick, D. (2002). Understanding the nature of the general factor of intelligence: The role of individual differences in neural plasticity as an explanatory mechanism. Psychological Review, 109, 116-136.
16. Judd, J. S. (1990). Neural network design and the complexity of learning. Cambridge, MA: MIT Press.
17. Bums, N. R., Nettelbeck, T., McPherson, J. & Stankov, L. (2007). Perceptual learning on inspection time and motion perception. The Journal of General Psychology, 134, 83-100.
18. Garaas, T. W. & Pomplun, M. (2007). The Visual Implications of Inspection Time. In D. Zhang, Y. Wang, and W. Kinsner (Eds.), Proceedings of the 6th IEEE International Conference on Cognitive Informatics, 2007 (pp. 62-71). Lake Tahoe, California, USA.
19. Vickers, D., Nettelbeck, T. & Wilson, R. J. (1972). Perceptual indices of performance: The measurement of 'inspection time' and 'noise' in the visual system. Perception, 1, 263-295.
20. White, M. (1993). The inspection time rationale fails to demonstrate that inspection time is a measure of the speed of post-sensory processing. Personality and Individual Differences, 15, 185-198.
21. White, M. (1996). Interpreting inspection time as a measure of the speed of sensory processing. Personality and Individual Differences, 20, 351-363.
22. Enns, J. T. & Di Lollo, V. (2000). What's new in visual masking. TRENDS in Cognitive Sciences, 4, 345-352.
23. Enns, J. T. & Di Lollo, V. (1997). Object substitution: A new form of masking in unattended visual locations. Psychological Science, 8, 135-139.
24. Juan, C.-H. & Walsh, V. (2003). Feedback to VI: A reverse hierarchy in vision. Experimental Brain Research, 150, 259-263.
25. Pascual-Leone, A. & Walsh, V. (2001). Fast backprojections from the motion to the primary visual area necessary for visual awareness. Science, 292, 510-512.
26. Bullier, J. (2001). Feedback connections and conscious vision. TRENDS in Cognitive Sciences, 5, 369-370.
27. Chun, M. M. (2000). Contextual cueing of visual attention. TRENDS in Cognitive Sciences, 4, 170-178.
28. Henderson, J. M. & Hollingworth, A. (1999). High-level scene perception. Annual Review of Psychology, 50, 243-271.
29. Chun, M. M. & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36, 28-71.
30. Chun, M. M. & Jiang, Y. (2003). Implicit, long-term spatial contextual memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 224-234.
31. Jiang, Y. & Leung, A. (2005). Implicit learning of ignored visual context. Psychonomic Bulletin & Review, 12, 100-106.
32. Bechara, A., Damasio, A. R., Damasio, H. & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7-15.
33. van den Bos, R., Houx, B. B. & Spruijt, B. M. (2006). The effect of reward magnitude differences on choosing disadvantageous decks in the Iowa Gambling Task. Biological Psychology, 71, 155-161.
34. Dayan, P. & Balleine, B. W. (2002). Reward, Motivation, and Reinforcement Learning. Neuron, 36, 285-298.
35. Bechara, A., Damasio, H., Tranel, D. & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293-1295.
36. Howard, J. H., Howard, D. V., Japikse, K. C. & Eden, G. F. (2006). Dyslexics are impaired on implicit higher-order sequence learning, but not on implicit spatial context learning. Neuropsychologia, 44, 1131-1144.
37. Schneps, M. H., Rose, L. T. & Fischer, K. W. (2007). Visual learning and the brain: Implications for dyslexia. Mind, Brain, and Education, 1, 128-139.
38. Bors, D. A., Stokes, T. L., Forrin, B. & Hodder, S. L. (1999). Inspection time and intelligence: Practice, strategies, and attention. Intelligence, 27, 11-129.
39. Scheres, A., Milham, M. P., Knutson, B. & Castellanos, F. X. (2007). Ventral striatal hyporesponsiveness during reward anticipation in attention-deficit/hyperactivity disorder. Biological Psychiatry, 61, 720-724.
40. Schonberg, T., Daw, N. D., Joel, D. & O'Doherty, J. P. (2007). Reinforcement learning signals in the human striatum distinguish learners from nonlearners during reward-based decision making. The Journal of Neuroscience, 27, 12860-12867.
41. Schafer, E. W. P. (1982). Neural adaptability: A biological determinant of behavioral intelligence. International Journal of Neuroscience, 17, 183-191.