288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation

March 2008, Vol. 20, No. 3, Pages 603-635
(doi: 10.1162/neco.2007.12-05-094)
© 2008 Massachusetts Institute of Technology
A Sensorimotor Approach to Sound Localization
Article PDF (449.22 KB)

Sound localization is known to be a complex phenomenon, combining multisensory information processing, experience-dependent plasticity, and movement. Here we present a sensorimotor model that addresses the question of how an organism could learn to localize sound sources without any a priori neural representation of its head-related transfer function or prior experience with auditory spatial information. We demonstrate quantitatively that the experience of the sensory consequences of its voluntary motor actions allows an organism to learn the spatial location of any sound source. Using examples from humans and echolocating bats, our model shows that a naive organism can learn the auditory space based solely on acoustic inputs and their relation to motor states.