Selective Attention in Human Associative Learning and Recognition Memory

被引:24
|
作者
Griffiths, Oren [1 ]
Mitchell, Chris J. [1 ]
机构
[1] Univ New S Wales, Sch Psychol, Sydney, NSW 2052, Australia
关键词
blocking; associability; recognition; associative learning; attention;
D O I
10.1037/a0013685
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Four experiments examined the role of selective attention in a new causal judgment task that allowed measurement of both causal strength and cue recognition. In Experiments 1 and 2. blocking was observed: pretraining with 1 cue (A) resulted in reduced learning about a 2nd cue (B) when those 2 Cues were trained in compound (AB+), Participants also demonstrated decreased recognition performance for the causally redundant Cue B, suggesting that less attention had been paid to it in training. This is consistent with the idea that attention is preferentially allocated toward the more predictive Cue A, and away from the less predictive Cue B (e.g., N. J. Mackintosh, 1975). Contrary to this hypothesis, in Experiments 3 and 4, participants demonstrated poorer recognition for the most predictive cues, relative to control cues. A new model which is based on N. J. Mackintosh's (1975) model, is proposed to account for the observed relationship between the extent to which each Cue is attended to, learned about. and later recognized.
引用
收藏
页码:626 / 648
页数:23
相关论文
共 50 条
  • [41] Reinforcement learning in associative memory
    Zhu, SJ
    Hammerstrom, D
    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 1346 - 1350
  • [42] Aging and the Role of Attention in Associative Learning
    Mutter, Sharon A.
    Holder, Jared M.
    Mashburn, Cody A.
    Luna, Catherine M.
    PSYCHOLOGY AND AGING, 2019, 34 (02) : 215 - 227
  • [43] A configural theory of attention and associative learning
    David N. George
    John M. Pearce
    Learning & Behavior, 2012, 40 : 241 - 254
  • [44] A configural theory of attention and associative learning
    George, David N.
    Pearce, John M.
    LEARNING & BEHAVIOR, 2012, 40 (03) : 241 - 254
  • [45] Visual attention to features by associative learning
    Gozli, Davood G.
    Moskowitz, Joshua B.
    Pratt, Jay
    COGNITION, 2014, 133 (02) : 488 - 501
  • [46] ASSOCIATIVE SEARCH NETWORK - A REINFORCEMENT LEARNING ASSOCIATIVE MEMORY
    BARTO, AG
    SUTTON, RS
    BROUWER, PS
    BIOLOGICAL CYBERNETICS, 1981, 40 (03) : 201 - 211
  • [47] The associative nature of human associative learning
    Shanks, David R.
    BEHAVIORAL AND BRAIN SCIENCES, 2009, 32 (02) : 225 - +
  • [48] Context-Associative Hierarchical Memory Model for Human Activity Recognition and Prediction
    Wang, Lei
    Zhao, Xu
    Si, Yunfei
    Cao, Liangliang
    Liu, Yuncai
    IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 19 (03) : 646 - 659
  • [49] Thalamic Control of Human Attention Driven by Memory and Learning
    de Bourbon-Teles, Jose
    Bentley, Paul
    Koshino, Saori
    Shah, Kushal
    Dutta, Agneish
    Malhotra, Paresh
    Egner, Tobias
    Husain, Masud
    Soto, David
    CURRENT BIOLOGY, 2014, 24 (09) : 993 - 999
  • [50] Selective and distributed attention in human and pigeon category learning
    Castro, Leyre
    Savic, Olivera
    Navarro, Victor
    Sloutsky, Vladimir M.
    Wasserman, Edward A.
    COGNITION, 2020, 204