Literature DB >> 16933666

Discrimination learning and extinction in paramecia (P. caudatum).

Harvard L Armus1, Amber R Montgomery, Rebecca L Gurney.   

Abstract

Prior attempts to condition a one-celled organism, paramecium, by either classical or instrumental procedures have yielded both positive and negative results. As the results of those studies may be subject to several interpretations other than one indicating learning, it was decided to use a more traditional technique for the present study. This experiment was designed to assess whether aversive electric shock could be used to train paramecia on a brightness discrimination task, a procedure that has been used in animal learning research. The results indicated that such learning may have occurred.

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Year:  2006        PMID: 16933666     DOI: 10.2466/pr0.98.3.705-711

Source DB:  PubMed          Journal:  Psychol Rep        ISSN: 0033-2941


  8 in total

1.  Insights into three whole-genome duplications gleaned from the Paramecium caudatum genome sequence.

Authors:  Casey L McGrath; Jean-Francois Gout; Thomas G Doak; Akira Yanagi; Michael Lynch
Journal:  Genetics       Date:  2014-05-19       Impact factor: 4.562

Review 2.  Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning.

Authors:  Marc van Duijn
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

3.  Evolutionary biosemiotics and multilevel construction networks.

Authors:  Alexei A Sharov
Journal:  Biosemiotics       Date:  2016-08-16       Impact factor: 0.711

Review 4.  Integrative Neuroscience of Paramecium, a "Swimming Neuron".

Authors:  Romain Brette
Journal:  eNeuro       Date:  2021-06-07

5.  Learning in a simple biological system: a pilot study of classical conditioning of human macrophages in vitro.

Authors:  Gustav Nilsonne; Alva Appelgren; John Axelsson; Mats Fredrikson; Mats Lekander
Journal:  Behav Brain Funct       Date:  2011-11-18       Impact factor: 3.759

6.  Stochasticity, bistability and the wisdom of crowds: a model for associative learning in genetic regulatory networks.

Authors:  Matan Sorek; Nathalie Q Balaban; Yonatan Loewenstein
Journal:  PLoS Comput Biol       Date:  2013-08-22       Impact factor: 4.475

7.  Acting without Central Agent-Considerations for a Self-Model at the Cellular Level.

Authors:  Stefan Kippenberger; Johannes Kleemann; Roland Kaufmann; Markus Meissner
Journal:  Front Hum Neurosci       Date:  2017-04-19       Impact factor: 3.169

8.  Reconsidering the evidence for learning in single cells.

Authors:  Samuel J Gershman; Petra Em Balbi; C Randy Gallistel; Jeremy Gunawardena
Journal:  Elife       Date:  2021-01-04       Impact factor: 8.140

  8 in total

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