QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

HOME  |   SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

The Journal of Neuroscience, June 18, 2008, 28(25):6430-6438; doi:10.1523/JNEUROSCI.0470-08.2008

This Article Full Text Full Text (PDF) Submit an eLetter Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Web of Science (7) Citing Articles via Google Scholar Google Scholar Articles by Dean, I. Articles by McAlpine, D. Search for Related Content PubMed PubMed Citation Articles by Dean, I. Articles by McAlpine, D.

 Previous Article  |  Next Article 

Behavioral/Systems/Cognitive
Rapid Neural Adaptation to Sound Level Statistics

Isabel Dean,¹ Ben L. Robinson,¹ Nicol S. Harper,^1,2 and David McAlpine¹

¹University College London Ear Institute and ²CoMPLEX, University College London, London WC1X 8EE, United Kingdom

Correspondence should be addressed to Isabel Dean, University College London Ear Institute, 332 Gray's Inn Road, London WC1X 8EE, U K. Email: i.dean{at}ucl.ac.uk

Auditory neurons must represent accurately a wide range of sound levels using firing rates that vary over a far narrower range of levels. Recently, we demonstrated that this "dynamic range problem" is lessened by neural adaptation, whereby neurons adjust their input–output functions for sound level according to the prevailing distribution of levels. These adjustments in input–output functions increase the accuracy with which levels around those occurring most commonly are coded by the neural population. Here, we examine how quickly this adaptation occurs. We recorded from single neurons in the auditory midbrain during a stimulus that switched repeatedly between two distributions of sound levels differing in mean level. The high-resolution analysis afforded by this stimulus showed that a prominent component of the adaptation occurs rapidly, with an average time constant across neurons of 160 ms after an increase in mean level, much faster than our previous experiments were able to assess. This time course appears to be independent of both the timescale over which sound levels varied and that over which sound level distributions varied, but is related to neural characteristic frequency. We find that adaptation to an increase in mean level occurs more rapidly than to a decrease. Finally, we observe an additional, slow adaptation in some neurons, which occurs over a timescale of tens of seconds. Our findings provide constraints in the search for mechanisms underlying adaptation to sound level. They also have functional implications for the role of adaptation in the representation of natural sounds.

Key words: adaptation; auditory neuron; time course; sound level; rate level function; inferior colliculus

---

Received Oct. 26, 2007; revised May 6, 2008; accepted May 7, 2008.

Correspondence should be addressed to Isabel Dean, University College London Ear Institute, 332 Gray's Inn Road, London WC1X 8EE, U K. Email: i.dean{at}ucl.ac.uk

This article has been cited by other articles:

				C. E. Stilp, J. M. Alexander, M. Kiefte, and K. R. Kluender Auditory color constancy: Calibration to reliable spectral properties across nonspeech context and targets Atten Percept Psychophys, February 1, 2010; 72(2): 470 - 480. [Abstract] [PDF]

				W. von der Behrens, P. Bauerle, M. Kossl, and B. H. Gaese Correlating Stimulus-Specific Adaptation of Cortical Neurons and Local Field Potentials in the Awake Rat J. Neurosci., November 4, 2009; 29(44): 13837 - 13849. [Abstract] [Full Text] [PDF]

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help