Mental Representations Mediate Aversive Learning in Humans

被引:0
|
作者
Qiao, Xiaolin [1 ,2 ]
Wolters, Lauren [1 ]
Howard, James D. [1 ,2 ]
机构
[1] Brandeis Univ, Dept Psychol, Waltham, MA USA
[2] Brandeis Univ, Dept Psychol, Brown 125,MS 062,415 South St, Waltham, MA 02453 USA
关键词
representation-mediated learning; Pavlovian conditioning; mental representations; ORBITAL PREFRONTAL CORTEX; BASOLATERAL AMYGDALA; MEDIODORSAL THALAMUS; ORBITOFRONTAL CORTEX; REINFORCER DEVALUATION; LESIONS; ASSOCIATIONS; IDENTITY; STIMULUS; MODEL;
D O I
10.1037/bne0000565
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Mental representations of stimuli that are not physically present are critical for a range of cognitive capacities, including perception, memory, and learning. Overly robust mental representations, however, can contribute to hallucinations in healthy individuals and those diagnosed with psychotic illness. Measuring the strength of mental representations can thus provide insight into how the contents of the mind influence both adaptive and maladaptive behaviors. In rodents, the robustness of mental representations has been tested using the representation-mediated learning (RML) task, in which animals respond less to a cue after a stimulus that has previously been associated with this cue has been paired with illness. This suggests that the mental representation of the cue enters into a negative association during aversive learning, even though the cue is not physically present. Here, we developed a human version of the RML task in which participants initially learned associations between two visual symbols and two different appetitive food odors. Preference for the food odors was then tested immediately before and after a session in which one symbol was paired with an aversive noise. We observed that mediated learning, in the form of selective decrease in preference for the odor previously paired with the noise-predicting symbol, was directly proportional to direct aversive learning for the symbols themselves. These findings suggest that a mental representation of the odor entered into a negative association with the sound and pave the way for future studies aimed at characterizing the neural circuits of mediated learning in the human brain.
引用
收藏
页码:319 / 329
页数:12
相关论文
共 50 条
  • [1] Learning Representations by Humans, for Humans
    Hilgard, Sophie
    Rosenfeld, Nir
    Banaji, Mahzarin R.
    Cao, Jack
    Parkes, David C.
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139
  • [2] Aversive Learning Modulates Cortical Representations of Object Categories
    Dunsmoor, Joseph E.
    Kragel, Philip A.
    Martin, Alex
    LaBar, Kevin S.
    CEREBRAL CORTEX, 2014, 24 (11) : 2859 - 2872
  • [3] Diminished prospective mental representations of reward mediate reward learning strategies among youth with internalizing symptoms
    Cisler, Josh M.
    Tamman, Amanda J. F.
    Fonzo, Greg A.
    PSYCHOLOGICAL MEDICINE, 2023, 53 (14) : 6910 - 6920
  • [4] Direct serotonin release in humans shapes aversive learning and inhibition
    Colwell, Michael J.
    Tagomori, Hosana
    Shang, Fei
    Cheng, Hoi Iao
    Wigg, Chloe E.
    Browning, Michael
    Cowen, Philip J.
    Murphy, Susannah E.
    Harmer, Catherine J.
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [5] Can humans form hierarchically embedded mental representations?
    Cummins, DD
    BEHAVIORAL AND BRAIN SCIENCES, 1998, 21 (05) : 687 - +
  • [6] MENTAL MAZE-LEARNING IN HUMANS
    SCHLATTER, J
    BATTIG, K
    EXPERIENTIA, 1979, 35 (07): : 926 - 927
  • [7] Modulation of cortical representations of sensory and contextual information underlies aversive associative learning
    Dai, Jiaman
    Sun, Qian-Quan
    CELL REPORTS, 2024, 43 (09):
  • [8] Learning latent representations to co-adapt to humans
    Sagar Parekh
    Dylan P. Losey
    Autonomous Robots, 2023, 47 : 771 - 796
  • [9] SELECTING, CHANGING, AND LEARNING MENTAL REPRESENTATIONS FOR REASONING
    EGAN, DE
    BULLETIN OF THE PSYCHONOMIC SOCIETY, 1980, 16 (03) : 177 - 177
  • [10] Learning Neural Volumetric Representations of Dynamic Humans in Minutes
    Geng, Chen
    Peng, Sida
    Xu, Zhen
    Bao, Hujun
    Zhou, Xiaowei
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 8759 - 8770