Learning & Behavior Journal Impact Factor & Information

Publisher: Psychonomic Society, Springer Verlag

Journal description

Learning & Behavior publishes experimental and theoretical contributions and critical reviews that cover the broad categories of animal learning, cognition, motivation, emotion, and comparative animal behavior. Specific topics include classical and operant conditioning, discrete-trial instrumental learning, habituation, exploratory behavior, early experience, social and sexual behavior, imprinting, and territoriality. Formerly Animal Learning & Behavior.

Current impact factor: 1.89

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.885
2013 Impact Factor 1.481
2012 Impact Factor 1.882
2011 Impact Factor 2
2010 Impact Factor 1.603
2009 Impact Factor 1.517
2008 Impact Factor 0.815
2007 Impact Factor 1.267
2006 Impact Factor 1.926
2005 Impact Factor 1.408
2004 Impact Factor 1.03

Impact factor over time

Impact factor

Additional details

5-year impact 2.01
Cited half-life 6.20
Immediacy index 0.12
Eigenfactor 0.00
Article influence 0.74
Website Learning & Behavior website
Other titles Learning & behavior (Online), Learning and behavior
ISSN 1543-4508
OCLC 51588188
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Previous research on the resurgence effect has suggested that reinforcers that are presented during the extinction of an operant behavior can control inhibition of the response. To further test this hypothesis, in three experiments with rat subjects we examined the effectiveness of using reinforcers that were presented during extinction as a means of attenuating or inhibiting the operant renewal effect. In Experiment 1, lever pressing was reinforced in Context A, extinguished in Context B, and then tested in Context A. Renewal of responding that occurred during the final test was attenuated when a distinct reinforcer that had been presented independent of responding during extinction was also presented during the renewal test. Experiment 2 established that this effect depended on the reinforcer being featured as a part of extinction (and thus associated with response inhibition). Experiment 3 then showed that the reinforcers presented during extinction suppressed performance in both the extinction and renewal contexts; the effects of the physical and reinforcer contexts were additive. Together, the results further suggest that reinforcers associated with response inhibition can serve a discriminative role in suppressing behavior and may be an effective stimulus that can attenuate operant relapse.
    Learning & Behavior 09/2015; DOI:10.3758/s13420-015-0195-9
  • [Show abstract] [Hide abstract]
    ABSTRACT: When retrospective revaluation phenomena (e.g., unovershadowing: AB+, then A-, then test B) were discovered, simple elemental models were at a disadvantage because they could not explain such phenomena. Extensions of these models and novel models appealed to within-compound associations to accommodate these new data. Here, we present an elemental, neural network model of conditioning that explains retrospective revaluation apart from within-compound associations. In the model, previously paired stimuli (say, A and B, after AB+) come to activate similar ensembles of neurons, so that revaluation of one stimulus (A-) has the opposite effect on the other stimulus (B) through changes (decreases) in the strength of the inhibitory connections between neurons activated by B. The ventral striatum is discussed as a possible home for the structure and function of the present model.
    Learning & Behavior 06/2013; 42(1). DOI:10.3758/s13420-013-0112-z
  • [Show abstract] [Hide abstract]
    ABSTRACT: Spatial learning and navigation have frequently been investigated using a reorientation task paradigm (Cheng, Cognition, 23(2), 149-78, 1986). However, implementing this task typically involves making tacit assumptions about the nature of spatial information. This has important theoretical consequences: Theories of reorientation typically focus on angles at corners as geometric cues and ignore information present at noncorner locations. We present a neural network model of reorientation that challenges these assumptions and use this model to generate predictions in a novel variant of the reorientation task. We test these predictions against human behavior in a virtual environment. Networks and humans alike exhibit reorientation behavior even when goal locations are not present at corners. Our simulated and our experimental results suggest that angles are processed in a manner more similar to features, acting as a focal point for reorientation, and that the mechanisms governing reorientation behavior may be inhibitory rather than excitatory.
    Learning & Behavior 05/2013; 41(4). DOI:10.3758/s13420-013-0111-0
  • [Show abstract] [Hide abstract]
    ABSTRACT: An animal's appetitive behavior is not a fixed response to current stimulation but can be affected by the anticipation of future events. For example, rats regularly given access to a moderately valued solution followed by a higher value solution (e.g., 4 % sucrose → 32 % sucrose) consume less of the initial solution than in control conditions where the initial solution is not followed by a higher value solution (e.g., 4 % sucrose → 4 % sucrose). Previous analyses have suggested that this negative anticipatory contrast effect does not depend on the "expectation" of a valuable stimulus producing a functional devaluation of a currently available stimulus of lesser value. In a within-subjects anticipatory contrast procedure, this study revealed that both consumption and the mean size of licking clusters were smaller for a 4 % sucrose solution on days when it preceded 32 % sucrose than on days when 4 % preceded 4 %. Since lick cluster size typically bears a positive monotonic relationship with the concentration of palatable solutions, this reduction is indicative of a decrease in the palatability/hedonic value of the solution subject to contrast. As such, we provide direct evidence that negative anticipatory contrast does produce a functional devaluation of the solution, thus challenging prevailing theoretical assumptions.
    Learning & Behavior 05/2013; 41(4). DOI:10.3758/s13420-013-0110-1