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      Rapid Learning and Long-Term Memory for Dangerous Humans in Ravens ( Corvus corax)

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          Abstract

          Like many predatory species, humans have pronounced individual differences in their interactions with potential prey: some humans pose a lethal threat while others may provide valuable resources. Recognizing individual humans would thus allow prey species to maximize potential rewards while ensuring survival. Previous studies on corvids showed they can recognize and remember individual humans. For instance, wild American crows produced alarm calls toward specifically masked humans up to 2.7 years after those humans had caught and ringed them while wearing that mask. However, individual behavior of the crows or the impact of social features on their responses, was hardly examined. Here, we studied predator learning and social effects on responses, using a similar method, in captive common ravens ( Corvus corax). We investigated learning and the impact of key social components on individual reactions to artificial predators. Human experimenters wore two types of masks while walking past two raven aviaries. In four training trials, the “dangerous” mask was presented while carrying a dead raven, whereas the “neutral” mask was presented empty-handed. Between every training trial and in all following trials, we presented both masks without dead ravens. We assessed the subjects’ (i) learning speed, (ii) selective long-term response, and (iii) potential effects of social dynamics on individual alarm calling frequency. Ravens learned quickly (often based on the first trial), and some individuals distinguished the dangerous from the neutral mask for the next 4 years. Despite having received the same amount and quality of exposure to the dangerous mask, we found pronounced individual differences in alarm calling that were fairly consistent across test trials in socially stable situations: dominance, but not sex explained individual differences in alarm responses, indicating the potential use of alarm calls as “status symbols.” These findings fit to those in wild bird populations and dominant individuals signaling their quality. Changes in the individuals’ participation and intensity of alarm calling coincided with changes in group composition and pair formation, further supporting the role of social context on ravens’ alarm calling.

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          glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

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            Random effects structure for confirmatory hypothesis testing: Keep it maximal.

            Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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              Observational study of behavior: sampling methods.

              J Altmann (1974)
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                21 October 2020
                2020
                : 11
                : 581794
                Affiliations
                [1] 1 Department of Cognitive Biology, University of Vienna , Vienna, Austria
                [2] 2 Haidlhof Research Station, University of Vienna and University of Veterinary Medicine Vienna , Vienna, Austria
                Author notes

                Edited by: Luigi Baciadonna, Queen Mary University of London, United Kingdom

                Reviewed by: Elisabetta Versace, Queen Mary University of London, United Kingdom; Michael Griesser, University of Zurich, Switzerland; Zhongqiu Li, Nanjing University, China

                This article was submitted to Comparative Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2020.581794
                7609869
                25011d05-0c8f-48d4-b238-0488ff1919b8
                Copyright © 2020 Blum, Fitch and Bugnyar.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 July 2020
                : 28 September 2020
                Page count
                Figures: 8, Tables: 4, Equations: 0, References: 81, Pages: 13, Words: 10037
                Funding
                Funded by: Austrian Science Fund (FWF) 10.13039/501100002428
                Award ID: W1262-B29
                Award ID: W1234-B17
                Award ID: Y366-B17
                Funded by: University of Vienna 10.13039/501100003065
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                predator recognition,corvid,raven (corvus corax),alarm call,memory,learning,individual human recognition

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