Studying associative learning without solving learning equations
type: Item
instance of: scholarly article
title: Studying associative learning without solving learning equations
zbMATH Open document ID: 1411.91468
author: Stefano Ghirlanda
published in: Journal of Mathematical Psychology
publication date: 2019-03-29T00:00:00Z
Mathematics Subject Classification ID: 91E40
zbMATH DE Number: 7044897
zbMATH Keywords: associative learning theory
zbMATH Keywords: elemental model
zbMATH Keywords: configural model
zbMATH Keywords: connectionism
zbMATH Keywords: kernel machine
describes a project that uses: SymPy
MaRDI profile type: Publication
full work available at URL: j.jmp.2018.07.003
OpenAlex ID: W2887355450
cites work: A generalization of the Rescorla‐Wagner model of conditioning and learning
cites work: Q4317868
cites work: On elemental and configural models of associative learning
cites work: A tutorial on kernel methods for categorization
cites work: Q5519782
cites work: Toward a Universal Law of Generalization for Psychological Science
cites work: Q3724211
DOI: 10.1016/J.JMP.2018.07.003
Recommended article: Associative Learning Using Ising-Like Model
Recommended article: Learning of associative prediction by experience
Recommended article: On elemental and configural models of associative learning
Recommended article: An autoassociative neural network model of paired-associate learning
Recommended article: A learning and forgetting algorithm in associative memories: results involving pseudo-inverses
Recommended article: On a functional equation in the theory of learning
Recommended article: Optimising synaptic learning rules in linear associative memories
description: scientific article; zbMATH DE number 7044897