The pigeon as a machine: Complex category structures can be acquired by a simple associative model

被引:1
|
作者
Turner, Brandon M. [1 ]
Wasserman, Edward A. [2 ]
机构
[1] Ohio State Univ, Columbus, OH 43210 USA
[2] Univ Iowa, Iowa City, IA USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
DESCARTES; DISCRIMINATION; PARALLEL; BEHAVIOR; EXPLICIT; ANIMALS; SYSTEMS;
D O I
10.1016/j.isci.2023.107998
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Never known for its smarts, the pigeon has proven to be a prodigious classifier of complex visual stimuli. What explains its surprising success? Does it possess elaborate executive functions akin to those deployed by humans? Or does it effectively deploy an unheralded, but powerful associative learning mechanism? In a series of experiments, we first confirm that pigeons can learn a variety of category structures - some devised to foil the use of advanced cognitive processes. We then contrive a simple associative learning model to see how effectively the model learns the same tasks given to pigeons. The close fit of the associative model to pigeons' categorization behavior provides unprecedented support for associative learning as a viable mechanism for mastering complex category structures and for the pigeon's using this mechanism to adapt to a rich visual world. This model will help guide future neuroscientific research into the biological substrates of visual cognition.
引用
收藏
页数:17
相关论文
共 29 条
  • [1] The Pigeon as a Model of Complex Visual Processing and Category Learning
    Wasserman, Edward A.
    Turner, Brandon M.
    Guentuerkuen, Onur
    NEUROSCIENCE INSIGHTS, 2024, 19
  • [2] Simple model for complex structures
    Soderlind, P
    Wills, JM
    Eriksson, O
    PHYSICAL REVIEW B, 1998, 57 (03): : 1320 - 1323
  • [3] Humans can navigate complex graph structures acquired during latent learning
    Rmus, Milena
    Ritz, Harrison
    Hunter, Lindsay E.
    Bornstein, Aaron M.
    Shenhav, Amitai
    COGNITION, 2022, 225
  • [4] Fundamentals of the metamorphosis of access specifications into simple and complex access structures and a model of complex access structures
    Gundem, TI
    SYSTEMS RESEARCH AND INFORMATION SCIENCE, 1997, 7 (03): : 169 - 187
  • [5] Simple and complex spatiotemporal structures in a glycolytic allosteric enzyme model
    Zhang, Lu
    Gao, Qingyu
    Wang, Qun
    Zhang, Xing
    BIOPHYSICAL CHEMISTRY, 2007, 125 (01) : 112 - 116
  • [6] Machine learning model for non-equilibrium structures and energies of simple molecules
    Iype, E.
    Urolagin, S.
    JOURNAL OF CHEMICAL PHYSICS, 2019, 150 (02):
  • [7] Simple measures and complex structures: Is it worth employing a more complex model of personality in Big Five inventories?
    Herrmann, Anne
    Pfister, Hans-Ruediger
    JOURNAL OF RESEARCH IN PERSONALITY, 2013, 47 (05) : 599 - 608
  • [8] Machine learning methods trained on simple models can predict critical transitions in complex natural systems
    Deb, Smita
    Sidheekh, Sahil
    Clements, Christopher F.
    Krishnan, Narayanan C.
    Dutta, Partha S.
    ROYAL SOCIETY OPEN SCIENCE, 2022, 9 (02):
  • [9] What can we learn when fitting a simple telegraph model to a complex gene expression model?
    Jiao, Feng
    Li, Jing
    Liu, Ting
    Zhu, Yifeng
    Che, Wenhao
    Bleris, Leonidas
    Jia, Chen
    PLOS COMPUTATIONAL BIOLOGY, 2024, 20 (05)
  • [10] Road traffic can be predicted by machine learning equally effectively as by complex microscopic model
    Andrzej Sroczyński
    Andrzej Czyżewski
    Scientific Reports, 13