Literature DB >> 34353955

Acrobatic squirrels learn to leap and land on tree branches without falling.

Nathaniel H Hunt1,2, Judy Jinn3, Lucia F Jacobs3, Robert J Full2.   

Abstract

Arboreal animals often leap through complex canopies to travel and avoid predators. Their success at making split-second, potentially life-threatening decisions of biomechanical capability depends on their skillful use of acrobatic maneuvers and learning from past efforts. Here, we found that free-ranging fox squirrels (Sciurus niger) leaping across unfamiliar, simulated branches decided where to launch by balancing a trade-off between gap distance and branch-bending compliance. Squirrels quickly learned to modify impulse generation upon repeated leaps from unfamiliar, compliant beams. A repertoire of agile landing maneuvers enabled targeted leaping without falling. Unanticipated adaptive landing and leaping "parkour" behavior revealed an innovative solution for particularly challenging leaps. Squirrels deciding and learning how to launch and land demonstrates the synergistic roles of biomechanics and cognition in robust gap-crossing strategies.
Copyright © 2021, American Association for the Advancement of Science.

Entities:  

Mesh:

Year:  2021        PMID: 34353955      PMCID: PMC9446516          DOI: 10.1126/science.abe5753

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   63.714


  18 in total

Review 1.  Are we ready for a natural history of motor learning?

Authors:  Lior Shmuelof; John W Krakauer
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

2.  Robust jumping performance and elastic energy recovery from compliant perches in tree frogs.

Authors:  Henry C Astley; Alison Haruta; Thomas J Roberts
Journal:  J Exp Biol       Date:  2015-11       Impact factor: 3.312

3.  The condition for dynamic stability.

Authors:  A L Hof; M G J Gazendam; W E Sinke
Journal:  J Biomech       Date:  2005-01       Impact factor: 2.712

4.  Motor adaptation as a process of reoptimization.

Authors:  Jun Izawa; Tushar Rane; Opher Donchin; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-03-12       Impact factor: 6.167

5.  The Late Permian herbivore Suminia and the early evolution of arboreality in terrestrial vertebrate ecosystems.

Authors:  Jörg Fröbisch; Robert R Reisz
Journal:  Proc Biol Sci       Date:  2009-07-29       Impact factor: 5.349

Review 6.  Going the distance: The biomechanics of gap-crossing behaviors.

Authors:  Michelle Graham; John J Socha
Journal:  J Exp Zool A Ecol Integr Physiol       Date:  2019-05-20

7.  Perch diameter and branching patterns have interactive effects on the locomotion and path choice of anole lizards.

Authors:  Zachary M Jones; Bruce C Jayne
Journal:  J Exp Biol       Date:  2012-06-15       Impact factor: 3.312

8.  Total recoil: perch compliance alters jumping performance and kinematics in green anole lizards (Anolis carolinensis).

Authors:  Casey A Gilman; Michael D Bartlett; Gary B Gillis; Duncan J Irschick
Journal:  J Exp Biol       Date:  2012-01-15       Impact factor: 3.312

9.  Use-dependent and error-based learning of motor behaviors.

Authors:  Jörn Diedrichsen; Olivier White; Darren Newman; Níall Lally
Journal:  J Neurosci       Date:  2010-04-14       Impact factor: 6.167

10.  Orangutans use compliant branches to lower the energetic cost of locomotion.

Authors:  S K S Thorpe; R H Crompton; R McN Alexander
Journal:  Biol Lett       Date:  2007-06-22       Impact factor: 3.703

View more
  4 in total

1.  Action-driven remapping of hippocampal neuronal populations in jumping rats.

Authors:  Laura Green; David Tingley; John Rinzel; György Buzsáki
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-22       Impact factor: 12.779

2.  Distance estimation from monocular cues in an ethological visuomotor task.

Authors:  Philip R L Parker; Elliott T T Abe; Natalie T Beatie; Emmalyn S P Leonard; Dylan M Martins; Shelby L Sharp; David G Wyrick; Luca Mazzucato; Cristopher M Niell
Journal:  Elife       Date:  2022-09-20       Impact factor: 8.713

3.  Learning to move in the real world.

Authors:  Karen E Adolph; Jesse W Young
Journal:  Science       Date:  2021-08-06       Impact factor: 63.714

4.  Stability and manoeuvrability in animal movement: lessons from biology, modelling and robotics.

Authors:  Andrew A Biewener; Richard J Bomphrey; Monica A Daley; Auke J Ijspeert
Journal:  Proc Biol Sci       Date:  2022-01-19       Impact factor: 5.349

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.