2017
DOI: 10.1016/j.beproc.2017.03.003
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Natural aversive learning in Tetramorium ants reveals ability to form a generalizable memory of predators’ pit traps

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Cited by 15 publications
(7 citation statements)
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“…Naturally, the present results do not mean that sanddwelling ants are helpless in terms of antlion larva capture. Ants can minimize the risk of predation by avoiding antlion aggregation zones to some extent (Gotelli 1996;Morrison 2004;Hollis et al 2017), which is their first "line of defense" against antlions. Additionally, earlier results obtained in rescue behavior investigations utilizing antlions (see, e.g., Miler 2016) are not invalidated by the present findings since rescue is a general behavioral category and major factors contributing to its occurrence (e.g., life expectancy) may very well be highly context independent.…”
Section: Discussionmentioning
confidence: 99%
“…Naturally, the present results do not mean that sanddwelling ants are helpless in terms of antlion larva capture. Ants can minimize the risk of predation by avoiding antlion aggregation zones to some extent (Gotelli 1996;Morrison 2004;Hollis et al 2017), which is their first "line of defense" against antlions. Additionally, earlier results obtained in rescue behavior investigations utilizing antlions (see, e.g., Miler 2016) are not invalidated by the present findings since rescue is a general behavioral category and major factors contributing to its occurrence (e.g., life expectancy) may very well be highly context independent.…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, prey can generalize their acquired predator recognition to similar but novel species, and continuously update their recognition templates 62, 63. Animals also learn to avoid locations associated with predation: ants are able to form a generalized memory of their predators’ pit traps after escaping a single time [64], and mice show risk assessment and escape behaviours when exploring an arena in which they previously encountered threats 19, 65.…”
Section: Threat Detectionmentioning
confidence: 99%
“…Studies addressing the role of social structure in nervous system trait evolution often propose that social complexity, generally measured by colony size, will be negatively correlated with individual worker behavioral complexity (Anderson and McShea, 2001;Gronenberg and Riveros, 2009;O'Donnell et al, 2015) and hypothesize that relative brain investment, particularly in brain regions associated with more complex behaviors such as multi-modal learning and memory, will decrease with increasing colony size (Riveros et al, 2012;O'Donnell et al, 2015;Kamhi et al, 2016). However, individual workers of social species often show behavioral and cognitive skills comparable to solitary relatives (Gruter et al, 2011;Pasquier and Grüter, 2016;Hollis et al, 2017;Yilmaz et al, 2017), and comparisons seeking to link colony size with changes in brain structure may be complicated by confounding variables such as habitat differences or phylogenetic distance (Kamhi et al, 2016;Godfrey and Gronenberg, 2019b). Furthermore, complex collective behaviors may emerge from expanded communication systems or require relatively small changes in neural circuitry (Lihoreau et al, 2012;Bouchebti and Arganda, 2020) without changes to individual behavioral complexity (Jeanson et al, 2012;Feinerman and Korman, 2017).…”
Section: Introductionmentioning
confidence: 99%