Literature DB >> 22639070

Revisiting social recognition systems in invertebrates.

Francesca Gherardi1, Laura Aquiloni, Elena Tricarico.   

Abstract

Since the 1970s, the ability of some invertebrate species to recognize individual conspecifics has attracted increased scientific interest. However, there is still confusion in the literature, possibly due to the lack of unambiguous criteria for classifying social recognition in its different forms. Here, we synthesize the results of studies on invertebrates and provide a framework with the purpose of identifying research needs and directions for future investigations. Following in part Sherman et al.'s (Behavioural ecology: an evolutionary approach. Blackwell Science, Oxford, pp 69-96, 1997) definition of 'recognition systems' and Tibbetts and Dale's (Trends Ecol Evol 22:529-537, 2007) classification of 'individual recognition,' we first discuss different case studies that exemplify the categories of 'familiar recognition' and 'class-level recognition.' Then, through the analysis of the invertebrate literature, we illustrate eight key properties that characterize 'true individual recognition' systems. We are confident that the proposed framework will provide opportunities for exciting discoveries of the cognitive abilities in invertebrates.

Mesh:

Year:  2012        PMID: 22639070     DOI: 10.1007/s10071-012-0513-y

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  16 in total

1.  Visual attraction in Drosophila larvae develops during a critical period and is modulated by crowding conditions.

Authors:  Zoe Slepian; Kelsey Sundby; Sarah Glier; Jennifer McDaniels; Taylor Nystrom; Suvadip Mukherjee; Scott T Acton; Barry Condron
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-08-12       Impact factor: 1.836

2.  Information from familiar and related conspecifics affects foraging in a solitary wolf spider.

Authors:  Catherine R Hoffman; Michael I Sitvarin; Ann L Rypstra
Journal:  Oecologia       Date:  2015-10-26       Impact factor: 3.225

Review 3.  From the primordial soup to self-driving cars: standards and their role in natural and technological innovation.

Authors:  Andreas Wagner; Scott Ortman; Robert Maxfield
Journal:  J R Soc Interface       Date:  2016-02       Impact factor: 4.118

4.  Speed and accuracy in nest-mate recognition: a hover wasp prioritizes face recognition over colony odour cues to minimize intrusion by outsiders.

Authors:  D Baracchi; I Petrocelli; L Chittka; G Ricciardi; S Turillazzi
Journal:  Proc Biol Sci       Date:  2015-03-07       Impact factor: 5.349

5.  Coevolution of cognitive abilities and identity signals in individual recognition systems.

Authors:  Sara E Miller; Michael J Sheehan; H Kern Reeve
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-05-18       Impact factor: 6.237

6.  Individual recognition and long-term memory of inanimate interactive agents and humans in dogs.

Authors:  Judit Abdai; Dalma Bartus; Sylvain Kraus; Zsuzsanna Gedai; Beatrix Laczi; Ádám Miklósi
Journal:  Anim Cogn       Date:  2022-05-05       Impact factor: 3.084

7.  Cephalopod Behavior: From Neural Plasticity to Consciousness.

Authors:  Giovanna Ponte; Cinzia Chiandetti; David B Edelman; Pamela Imperadore; Eleonora Maria Pieroni; Graziano Fiorito
Journal:  Front Syst Neurosci       Date:  2022-04-12

Review 8.  Evolution of stress responses refine mechanisms of social rank.

Authors:  Wayne J Korzan; Cliff H Summers
Journal:  Neurobiol Stress       Date:  2021-04-21

9.  Are you my mummy? Long-term olfactory memory of mother's body odour by offspring in the domestic cat.

Authors:  Péter Szenczi; Andrea Urrutia; Robyn Hudson; Oxána Bánszegi
Journal:  Anim Cogn       Date:  2021-07-26       Impact factor: 3.084

10.  The ripple pond: enabling spiking networks to see.

Authors:  Saeed Afshar; Gregory K Cohen; Runchun M Wang; André Van Schaik; Jonathan Tapson; Torsten Lehmann; Tara J Hamilton
Journal:  Front Neurosci       Date:  2013-11-15       Impact factor: 4.677

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