Literature DB >> 15671342

Foraging in a complex naturalistic environment: capacity of spatial working memory in flower bats.

York Winter1, Kai Petra Stich.   

Abstract

Memory systems have evolved under selection pressures, such as the need to remember the locations of resources or past events within spatiotemporally dynamic natural environments. The full repertoire of complex behaviours exhibited by animals in dynamic surroundings are, however, difficult to elicit within simply structured laboratory environments. We have developed a computer-controlled naturalistic environment with 64 feeders for simulating dynamic patterns of water or food resource availability (depletion and replenishment) within the laboratory. The combination of feeder and cage remote control permits the automated transfer of animals between cage and test arena and, therefore, high experimental throughput and minimal disturbance to the animals (bats and mice). In the present study, we investigated spatial working memory in nectar-feeding bats (Glossophaga soricina, Phyllostomidae) collecting food from a 64-feeder array. Feeders gave only single rewards within trials so that efficient foraging required bats to avoid depleted locations. Initially, bats tended to revisit feeders (win-stay), but within three trials changed towards a win-shift strategy. The significant avoidance of revisits could not be explained by algorithmic search guiding movement through the array nor by scent cues left by the bats themselves and, thus, the data suggest that bats remembered spatial locations depleted of food. An examination of the recency effect on spatial working memory after bats shifted to a win-shift strategy indicated that bats held more than 40 behaviour actions (feeder visits) in working memory without indication of decay. This result surpasses previous findings for other taxa.

Entities:  

Mesh:

Year:  2005        PMID: 15671342     DOI: 10.1242/jeb.01416

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  20 in total

1.  FLOBOTS: ROBOTIC FLOWERS FOR BEE BEHAVIOUR EXPERIMENTS.

Authors:  Carla J Essenberg
Journal:  J Pollinat Ecol       Date:  2015

2.  What the bat's voice tells the bat's brain.

Authors:  Nachum Ulanovsky; Cynthia F Moss
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-18       Impact factor: 11.205

Review 3.  The evolution of bat pollination: a phylogenetic perspective.

Authors:  Theodore H Fleming; Cullen Geiselman; W John Kress
Journal:  Ann Bot       Date:  2009-09-29       Impact factor: 4.357

4.  People's study time allocation and its relation to animal foraging.

Authors:  Janet Metcalfe; W Jake Jacobs
Journal:  Behav Processes       Date:  2009-12-21       Impact factor: 1.777

5.  Hybrid foraging in patchy environments using spatial memory.

Authors:  Johannes Nauta; Yara Khaluf; Pieter Simoens
Journal:  J R Soc Interface       Date:  2020-05-20       Impact factor: 4.118

6.  The psychophysics of uneconomical choice: non-linear reward evaluation by a nectar feeder.

Authors:  Vladislav Nachev; York Winter
Journal:  Anim Cogn       Date:  2011-11-02       Impact factor: 3.084

7.  Psychometric function for nectar volume perception of a flower-visiting bat.

Authors:  Ulf Toelch; York Winter
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-11-15       Impact factor: 1.836

8.  Flower bats (Glossophaga soricina) and fruit bats (Carollia perspicillata) rely on spatial cues over shapes and scents when relocating food.

Authors:  Gerald G Carter; John M Ratcliffe; Bennett G Galef
Journal:  PLoS One       Date:  2010-05-25       Impact factor: 3.240

9.  The psychophysics of sugar concentration discrimination and contrast evaluation in bumblebees.

Authors:  Vladislav Nachev; James D Thomson; York Winter
Journal:  Anim Cogn       Date:  2012-11-22       Impact factor: 3.084

10.  Relationship between spatial working memory performance and diet specialization in two sympatric nectar bats.

Authors:  Mickaël Henry; Kathryn E Stoner
Journal:  PLoS One       Date:  2011-09-09       Impact factor: 3.240

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