View More View Less
  • 1 Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
  • | 2 Department of Experimental Linguistics, Research Institute of Linguistics, Hungarian Academy of Sciences, Budapest, Hungary
  • | 3 Department of Cognitive Sciences, Budapest University of Technology and Economics (BME), Stoczek u. 2, H-1111, Budapest, Hungary
Restricted access

Abstract

The Weather Prediction (WP) Task is one of the most widely used tasks in probabilistic category learning research. Earlier studies mainly tested adults on similarly structured but different versions of the WP task, mostly without specific focus given to the differences between these tasks. The current paper focuses on the effects of stimulus organization on learning, manipulating two variables: 1) transparency of cues and outcomes and 2) combination of cues into features of a single image vs presenting them as distinct cues. Results show that different variables affect probabilistic categorization differently; cue-based (as opposed to holistic) presentation leads to better performance, and transparency also helps categorization in the early phases of the task, but this advantage turns into a disadvantage later. In general, adults’ probabilistic categorization abilities surpass children's categorization, but the pattern of performance was similar regardless of age.

  • M. A. Gluck G. H. Bower 1988 From conditioning to category learning: An adaptive network model Journal of Experimental Psychology: General 117 225 244.

    • Search Google Scholar
    • Export Citation
  • M. A. Gluck D. Shohamy C. Myers 2002 How do people solve the “weather prediction” task?: Individual variability in strategies for probabilistic category learning Learning & Memory 9 6 408 418.

    • Search Google Scholar
    • Export Citation
  • R. O. Hopkins C. E. Myers D. Shohamy S. Grossman M. Gluck 2004 Impaired probabilistic category learning in hypoxic subjects with hippocampal damage Neuropsychologia 42 524 535.

    • Search Google Scholar
    • Export Citation
  • F. Kemény Lukács 2007 Valószínűségi kategorizáció felnőtt- és gyerekkorban: napsütés vagy csokifagylalt? Paper presented at the MAKOG XV. Eger.

    • Search Google Scholar
    • Export Citation
  • F. Kemény Lukács 2010 Impaired procedural learning in language impairment: Results from probabilistic categorization Journal of Clinical and Experimental Neuropsychology 32 3 249 258.

    • Search Google Scholar
    • Export Citation
  • B. J. Knowlton J. A. Mangels L. R. Squire 1996 Aneostriatal habit learning system in humans Science 273 5280 1399 1402.

  • B. J. Knowlton L. R. Squire M. A. Gluck 1994 Probabilistic classification learning in amnesia Learning & Memory 1 106 120.

  • M. Meeter G. Radics C. E. Myers M. A. Gluck R. O. Hopkins 2008 Probabilistic categorization: How do normal participants and amnesic patients do it? Neurosci. Biobehav. Rev. 32 2 237 248.

    • Search Google Scholar
    • Export Citation
  • R. A. Poldrack V. Prabhakaran C. A. Seger J. D. E. Gabrieli 1999 Striatal activation during acquisition of a cognitive skill Neuropsychology 13 4 564 574.

    • Search Google Scholar
    • Export Citation
  • R. A. Poldrack J. Clark E. J. Pare-Blagoev D. Shohamy J. C. Moyano C. Myers M. A. Gluck 2001 Interactive memory systems in the human brain Nature 414 6863 546 550.

    • Search Google Scholar
    • Export Citation
  • D. Shohamy C. E. Myers S. Onlaor M. A. Gluck 2004 Role of the basal ganglia in category learning: How do patients with Parkinson's disease learn? Behavioral Neuroscience 118 4 676 686.

    • Search Google Scholar
    • Export Citation
  • D. Shohamy S. Onlaor C. Myers M. Gluck 2001 Category learning in Parkinson's disease: The effect of stimulus presentation on performance Paper presented at the 8th Annual Meeting of the Cognitive Neuroscience Society New York.

    • Search Google Scholar
    • Export Citation
  • D. Shohamy C. E. Myers S. Grossman J. Sage M. A. Gluck R. A. Poldrack 2004 Cortico-striatal contributions to feedback-based learning: Converging data from neuroimaging and neuropsychology Brain 127 4 851 859.

    • Search Google Scholar
    • Export Citation
  • R. Sun P. Slusarz C. Terry 2005 The interaction of the explicit and the implicit in skill learning: A dual-process approach Psychol. Rev. 112 1 159 192.

    • Search Google Scholar
    • Export Citation
  • T. Yamada M. Izyuuinn M. Schulzer K. Hirayama 1990 Covert orienting attention in Parkinson's disease J. Neurol. Neurosurg. Psychiatry 53 7 593 596.

    • Search Google Scholar
    • Export Citation

Learning & Perception
Language English
Size  
Year of
Foundation
2009
Publication
Programme
ceased
Volumes
per Year
 
Issues
per Year
 
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1789-3186 (Print)
ISSN 2060-9175 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Apr 2021 1 0 0
May 2021 1 0 0
Jun 2021 11 0 0
Jul 2021 20 0 0
Aug 2021 1 0 0
Sep 2021 2 0 0
Oct 2021 0 0 0