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
  • [21] Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?
    Bodini, Nicola
    Lundquist, Julie K.
    Optis, Mike
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2020, 13 (09) : 4271 - 4285
  • [22] Can simple particle shapes be used to model scalar optical properties of an ensemble of wavelength-sized particles with complex shapes?
    Kahnert, FM
    Stamnes, JJ
    Stamnes, K
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2002, 19 (03) : 521 - 531
  • [23] Can we model nitric oxide biotransport? A survey of mathematical models for a simple diatomic molecule with surprisingly complex biological activities
    Buerk, DG
    ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, 2001, 3 : 109 - 143
  • [24] Elucidating Structures of Complex Organic Compounds Using a Machine Learning Model Based on the 13C NMR Chemical Shifts
    Wu, Anan
    Ye, Qing
    Zhuang, Xiaowei
    Chen, Qiwen
    Zhang, Jinkun
    Wu, Jianming
    Xu, Xin
    PRECISION CHEMISTRY, 2023, 1 (01): : 57 - 68
  • [25] Can forward dynamics simulation with simple model estimate complex phenomena?: Case study on sprinting using running-specific prosthesis
    Murai A.
    Hobara H.
    Hashizume S.
    Kobayashi Y.
    Tada M.
    ROBOMECH Journal, 5 (1):
  • [26] A computational model of the allocentric and egocentric spatial memory by means of virtual agents, or how simple virtual agents can help to build complex computational models
    Brom, Cyril
    Vyhnanek, Jan
    Lukavsky, Jiri
    Waller, David
    Kadlec, Rudolf
    COGNITIVE SYSTEMS RESEARCH, 2012, 17-18 : 1 - 24
  • [27] A Simple Computational Model of the Bee Mushroom Body Can Explain Seemingly Complex Forms of Olfactory Learning and Memory (vol 27, pg 224, 2017)
    Peng, Fei
    Chittka, Lars
    CURRENT BIOLOGY, 2017, 27 (11) : 1706 - 1706
  • [28] An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre Experience
    Gaudiano, Caterina
    Mottola, Margherita
    Bianchi, Lorenzo
    Corcioni, Beniamino
    Braccischi, Lorenzo
    Tomassoni, Makoto Taninokuchi
    Cattabriga, Arrigo
    Cocozza, Maria Adriana
    Giunchi, Francesca
    Schiavina, Riccardo
    Fanti, Stefano
    Fiorentino, Michelangelo
    Brunocilla, Eugenio
    Mosconi, Cristina
    Bevilacqua, Alessandro
    CANCERS, 2023, 15 (13)
  • [29] A simple method of complex ferrimagnetic properties description of AB1AB2-superlattice structures with a strong perpendicular anisotropy contribution (Blume-Capel model)
    Wiatrowski, G
    Bayreuther, G
    Bensch, F
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2001, 293 (3-4) : 478 - 484