Literature DB >> 19182121

ALTSim: a MATLAB simulator for current associative learning theories.

Anna Thorwart1, Holger Schultheis2, Stephan König3, Harald Lachnit3.   

Abstract

ALTSim is a MATLAB-based simulator of several associative learning models, including Pearce's configural model, the extended configural model, the Rescorla-Wagner model, the unique cue hypothesis, the modified unique cue hypothesis, the replaced elements model, and Harris's elemental model. It allows for specifying all relevant parameters, as well as exact stimulus sequences by graphical user interfaces. It is an easy-to-use tool that facilitates evaluating and comparing the featured associative learning models. ALTSim is available free of charge from www.staff.uni-marburg.de/~lachnit/ALTSim/.

Mesh：

Year:  2009        PMID： 19182121     DOI： 10.3758/BRM.41.1.29

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN： 1554-351X


  9 in total

1.  Narrowing down the conditions for extinction of Pavlovian feature-positive discriminations in humans.

Authors:  Priya R van Vooren; Mathijs Franssen; Tom Beckers; Dirk Hermans; Frank Baeyens
Journal:  Learn Behav       Date:  2012-12       Impact factor: 1.986

2.  Generalization decrements: further support for flexibility in stimulus processing.

Authors:  Anna Thorwart; Harald Lachnit
Journal:  Learn Behav       Date:  2010-11       Impact factor: 1.986

3.  Symmetrical generalization decrements: configural stimulus processing in human contingency learning.

Authors:  Anna Thorwart; Harald Lachnit
Journal:  Learn Behav       Date:  2009-02       Impact factor: 1.986

4.  Extinction in multiple contexts: Effects on the rate of extinction and the strength of response recovery.

Authors:  Javier Bustamante; Metin Uengoer; Anna Thorwart; Harald Lachnit
Journal:  Learn Behav       Date:  2016-09       Impact factor: 1.986

5.  Imagine that! Cue-evoked representations guide rat behavior during ambiguous situations.

Authors:  Cynthia D Fast; Traci Biedermann; Aaron P Blaisdell
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2016-02-15       Impact factor: 2.478

6.  Ultrafast Cortical Gain Adaptation in the Human Brain by Trial-To-Trial Changes of Associative Strength in Fear Learning.

Authors:  Melissa Yuan; Tamara Giménez-Fernández; Constantino Méndez-Bértolo; Stephan Moratti
Journal:  J Neurosci       Date:  2018-08-13       Impact factor: 6.167

7.  An exploration of the feature-positive effect in adult humans.

Authors:  Anja Lotz; Metin Uengoer; Stephan Koenig; John M Pearce; Harald Lachnit
Journal:  Learn Behav       Date:  2012-06       Impact factor: 1.986

8.  Indicators of early and late processing reveal the importance of within-trial-time for theories of associative learning.

Authors:  Harald Lachnit; Anna Thorwart; Holger Schultheis; Anja Lotz; Stephan Koenig; Metin Uengoer
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

9.  Computational optimization of associative learning experiments.

Authors:  Filip Melinscak; Dominik R Bach
Journal:  PLoS Comput Biol       Date:  2020-01-06       Impact factor: 4.475
  9 in total

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