Literature DB >> 2689566

Principles of auditory information-processing derived from neuroethology.

N Suga1.   

Abstract

For auditory imaging, a bat emits orientation sounds (pulses) and listens to echoes. The parameters characterizing a pulse-echo pair each convey particular types of biosonar information. For example, a Doppler shift (a difference in frequency between an emitted pulse and its echo) carries velocity information. For a 61-kHz sound, a 1.0-kHz Doppler shift corresponds to 2.8 ms-1 velocity. The delay of the echo from the pulse conveys distance (range) information. A 1.0-ms echo delay corresponds to a target distance of 17 cm. The auditory system of the mustached bat, Pteronotus parnelli, from Central America solves the computational problems in analyzing these parameters by creating maps in the cerebral cortex. The pulse of the mustached bat is complex. It consists of four harmonics, each of which contains a long constant-frequency (CF) component and a short frequency-modulated (FM) component. Therefore, there are eight components in the emitted pulse (CF1-4 and FM1-4). The CF signal is particularly suited for target velocity measurement, whereas the FM signal is suited for target distance measurement. Since the eight components differ from each other in frequency, they are analyzed in parallel at different regions of the basilar membrane in the inner ear. Then, they are separately coded by primary auditory neurons and are sent up to the auditory cortex through several auditory nuclei. During the ascent of the signals through these auditory nuclei, neurons responding to the FM components process range information, while other neurons responding to the CF components process velocity information. A comparison of the data obtained from the mustached bat with those obtained from other species illustrates both the specialized neural mechanisms specific to the bat's auditory system, and the general neural mechanisms which are probably shared with many different types of animals.

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Year:  1989        PMID: 2689566     DOI: 10.1242/jeb.146.1.277

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


  43 in total

1.  Gradual emergence of song selectivity in sensorimotor structures of the male zebra finch song system.

Authors:  P Janata; D Margoliash
Journal:  J Neurosci       Date:  1999-06-15       Impact factor: 6.167

2.  Order-sensitive plasticity in adult primary auditory cortex.

Authors:  Michael P Kilgard; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-05       Impact factor: 11.205

3.  Representation of acoustic communication signals by insect auditory receptor neurons.

Authors:  C K Machens; M B Stemmler; P Prinz; R Krahe; B Ronacher; A V Herz
Journal:  J Neurosci       Date:  2001-05-01       Impact factor: 6.167

4.  Background sounds contribute to spectrotemporal plasticity in primary auditory cortex.

Authors:  Raluca Moucha; Pritesh K Pandya; Navzer D Engineer; Daniel L Rathbun; Michael P Kilgard
Journal:  Exp Brain Res       Date:  2004-12-23       Impact factor: 1.972

Review 5.  Auditory cortex mapmaking: principles, projections, and plasticity.

Authors:  Christoph E Schreiner; Jeffery A Winer
Journal:  Neuron       Date:  2007-10-25       Impact factor: 17.173

6.  Stimulus-dependent auditory tuning results in synchronous population coding of vocalizations in the songbird midbrain.

Authors:  Sarah M N Woolley; Patrick R Gill; Frédéric E Theunissen
Journal:  J Neurosci       Date:  2006-03-01       Impact factor: 6.167

7.  Spectral and temporal processing in rat posterior auditory cortex.

Authors:  Pritesh K Pandya; Daniel L Rathbun; Raluca Moucha; Navzer D Engineer; Michael P Kilgard
Journal:  Cereb Cortex       Date:  2007-07-05       Impact factor: 5.357

8.  Early stages of melody processing: stimulus-sequence and task-dependent neuronal activity in monkey auditory cortical fields A1 and R.

Authors:  Pingbo Yin; Mortimer Mishkin; Mitchell Sutter; Jonathan B Fritz
Journal:  J Neurophysiol       Date:  2008-10-08       Impact factor: 2.714

9.  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

10.  Dynamics of hippocampal spatial representation in echolocating bats.

Authors:  Nachum Ulanovsky; Cynthia F Moss
Journal:  Hippocampus       Date:  2011-02       Impact factor: 3.899

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