Associative learning in baboons (Papio papio) and humans (Homo sapiens): species differences in learned attention to visual features

1998 ◽  
Vol 1 (2) ◽  
pp. 123-133 ◽  
Author(s):  
Joël Fagot ◽  
John K. Kruschke ◽  
Delphine Dépy ◽  
Jacques Vauclair
Keyword(s):  
Associative Learning ◽  
Species Differences ◽  
Homo Sapiens ◽  
Visual Features ◽  
Papio Papio

scholarly journals Strain differences rather than species differences contribute to variation in associative learning ability in Nasonia

2020 ◽  
Vol 168 ◽  
pp. 25-31
Author(s):  
Maartje Liefting ◽  
Lisa Verwoerd ◽  
Myrthe L. Dekker ◽  
Katja M. Hoedjes ◽  
Jacintha Ellers
Keyword(s):  
Associative Learning ◽  
Species Differences ◽  
Strain Differences ◽  
Learning Ability

scholarly journals Revisiting peak shift on an artificial dimension: Effects of stimulus variability on generalisation

2018 ◽  
Vol 72 (2) ◽  
pp. 132-150 ◽  
Author(s):  
Evan J Livesey ◽  
Ian PL McLaren
Keyword(s):  
Associative Learning ◽  
Comparative Psychology ◽  
Spatial Arrangement ◽  
Peak Shift ◽  
Visual Features ◽  
Learning Mechanisms ◽  
Feature Based ◽  
Series Of Experiments ◽  
Overlapping Sets ◽  
Similar Peak

One of Mackintosh’s many contributions to the comparative psychology of associative learning was in developing the distinction between the mental processes responsible for learning about features and learning about relations. His research on discrimination learning and generalisation served to highlight differences and commonalities in learning mechanisms across species and paradigms. In one such example, Wills and Mackintosh trained both pigeons and humans to discriminate between two categories of complex patterns comprising overlapping sets of abstract visual features. They demonstrated that pigeons and humans produced similar “peak-shifted” generalisation gradients when the proportion of shared features was systemically varied across a set of transfer stimuli, providing support for an elemental feature-based analysis of discrimination and generalisation. Here, we report a series of experiments inspired by this work, investigating the processes involved in post-discrimination generalisation in human category learning. We investigate how post-discrimination generalisation is affected by variability in the spatial arrangement and probability of occurrence of the visual features and develop an associative learning model that builds on Mackintosh’s theoretical approach to elemental associative learning.

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