Literature DB >> 15331782

The learning curve: implications of a quantitative analysis.

Charles R Gallistel1, Stephen Fairhurst, Peter Balsam.   

Abstract

The negatively accelerated, gradually increasing learning curve is an artifact of group averaging in several commonly used basic learning paradigms (pigeon autoshaping, delay- and trace-eye-blink conditioning in the rabbit and rat, autoshaped hopper entry in the rat, plus maze performance in the rat, and water maze performance in the mouse). The learning curves for individual subjects show an abrupt, often step-like increase from the untrained level of responding to the level seen in the well trained subject. The rise is at least as abrupt as that commonly seen in psychometric functions in stimulus detection experiments. It may indicate that the appearance of conditioned behavior is mediated by an evidence-based decision process, as in stimulus detection experiments. If the appearance of conditioned behavior is taken instead to reflect the increase in an underlying associative strength, then a negligible portion of the function relating associative strength to amount of experience is behaviorally visible. Consequently, rate of learning cannot be estimated from the group-average curve; the best measure is latency to the onset of responding, determined for each subject individually.

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Year:  2004        PMID: 15331782      PMCID: PMC516535          DOI: 10.1073/pnas.0404965101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

1.  Traps in the route to models of memory and decision.

Authors:  W K Estes
Journal:  Psychon Bull Rev       Date:  2002-03

2.  Acquisition and extinction in autoshaping.

Authors:  Sham Kakade; Peter Dayan
Journal:  Psychol Rev       Date:  2002-07       Impact factor: 8.934

Review 3.  Toward a method of selecting among computational models of cognition.

Authors:  Mark A Pitt; In Jae Myung; Shaobo Zhang
Journal:  Psychol Rev       Date:  2002-07       Impact factor: 8.934

4.  Comparison of the rates of associative change during acquisition and extinction.

Authors:  Robert A Rescorla
Journal:  J Exp Psychol Anim Behav Process       Date:  2002-10

5.  Methodological questions in the study of one-trial learning.

Authors:  I ROCK; G STEINFELD
Journal:  Science       Date:  1963-05-17       Impact factor: 47.728

6.  Learning theory and the new "mental chemistry".

Authors:  W K ESTES
Journal:  Psychol Rev       Date:  1960-07       Impact factor: 8.934

7.  Reflections on a cumulative record.

Authors:  P R Killeen
Journal:  Behav Anal       Date:  1985

8.  Significance of all-or-none learning.

Authors:  F Restle
Journal:  Psychol Bull       Date:  1965-11       Impact factor: 17.737

9.  1/f noise in human cognition.

Authors:  D L Gilden; T Thornton; M W Mallon
Journal:  Science       Date:  1995-03-24       Impact factor: 47.728

10.  ENERGY, QUANTA, AND VISION.

Authors:  S Hecht; S Shlaer; M H Pirenne
Journal:  J Gen Physiol       Date:  1942-07-20       Impact factor: 4.086

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  175 in total

1.  Oxidative stress impairs learning and memory in apoE knockout mice.

Authors:  Marianne Evola; Allyson Hall; Trevor Wall; Alice Young; Paula Grammas
Journal:  Pharmacol Biochem Behav       Date:  2010-05-08       Impact factor: 3.533

2.  Biography of Charles R. Gallistel.

Authors:  Erik Stemmy
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-30       Impact factor: 11.205

3.  Screening for Learning and Memory Mutations: A New Approach.

Authors:  C R Gallistel; A P King; A M Daniel; D Freestone; E B Papachristos; F Balci; A Kheifets; J Zhang; X Su; G Schiff; H Kourtev
Journal:  Xin Li Xue Bao       Date:  2010-01-30

4.  Voluntary oral consumption of Δ9-tetrahydrocannabinol by adolescent rats impairs reward-predictive cue behaviors in adulthood.

Authors:  Lauren C Kruse; Jessica K Cao; Katie Viray; Nephi Stella; Jeremy J Clark
Journal:  Neuropsychopharmacology       Date:  2019-04-10       Impact factor: 7.853

5.  Demonstration of cue recruitment: change in visual appearance by means of Pavlovian conditioning.

Authors:  Qi Haijiang; Jeffrey A Saunders; Rebecca W Stone; Benjamin T Backus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

6.  The developmental behavior genetics of drug involvement: overview and comments.

Authors:  Robert A Zucker
Journal:  Behav Genet       Date:  2006-04-25       Impact factor: 2.805

7.  Amygdala interneuron subtypes control fear learning through disinhibition.

Authors:  Steffen B E Wolff; Jan Gründemann; Philip Tovote; Sabine Krabbe; Gilad A Jacobson; Christian Müller; Cyril Herry; Ingrid Ehrlich; Rainer W Friedrich; Johannes J Letzkus; Andreas Lüthi
Journal:  Nature       Date:  2014-05-11       Impact factor: 49.962

8.  Pigeons acquire multiple categories in parallel via associative learning: a parallel to human word learning?

Authors:  Edward A Wasserman; Daniel I Brooks; Bob McMurray
Journal:  Cognition       Date:  2014-12-08

Review 9.  The debate over dopamine's role in reward: the case for incentive salience.

Authors:  Kent C Berridge
Journal:  Psychopharmacology (Berl)       Date:  2006-10-27       Impact factor: 4.530

Review 10.  Easy Words: Reference Resolution in a Malevolent Referent World.

Authors:  Lila R Gleitman; John C Trueswell
Journal:  Top Cogn Sci       Date:  2018-06-15
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