Echolocating dolphins emit trains of clicks and receive echoes from ocean targets. They often emit each successive ranging click about 20 ms after arrival of the target echo. In echolocation, decisions must be made about the target—fish or fowl, predator or food. In the first test of dolphin auditory decision speed, three bottlenose dolphins (Tursiops truncatus) chose whistle or pulse burst responses to different auditory stimuli randomly presented without warning in rapid succession under computer control. The animals were trained to hold pressure catheters in the nasal cavity so that pressure increases required for sound production could be used to split response time (RT) into neural time and movement time. Mean RT in the youngest and fastest dolphin ranged from 175 to 213 ms when responding to tones and from 213 to 275 ms responding to pulse trains. The fastest neural times and movement times were around 60 ms. The results suggest that echolocating dolphins tune to a rhythm so that succeeding pulses in a train are produced about 20 ms over target round-trip travel time. The dolphin nervous system has evolved for rapid processing of acoustic stimuli to accommodate for the more rapid sound speed in water compared to air.
Skip Nav Destination
Article navigation
February 2011
February 11 2011
Neural time and movement time in choice of whistle or pulse burst responses to different auditory stimuli by dolphins
Sam H. Ridgway
Sam H. Ridgway
a)
1
National Marine Mammal Foundation
, 2240 Shelter Island Drive, Suite 200, San Diego, California 92106
Search for other works by this author on:
a)
Author to whom correspondence should be addressed. Electronic mail: Sam.Ridgway@nmmpfoundation.org
J. Acoust. Soc. Am. 129, 1073–1080 (2011)
Article history
Received:
August 18 2010
Accepted:
November 10 2010
Citation
Sam H. Ridgway; Neural time and movement time in choice of whistle or pulse burst responses to different auditory stimuli by dolphins. J. Acoust. Soc. Am. 1 February 2011; 129 (2): 1073–1080. https://doi.org/10.1121/1.3523431
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Using soundscape simulation to evaluate compositions for a public space sound installation
Valérian Fraisse, Nadine Schütz, et al.
Source and propagation modelling scenarios for environmental impact assessment: Model verification
Michael A. Ainslie, Robert M. Laws, et al.