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Journal article

Neural population coding of sound level adapts to stimulus statistics.

Abstract:
Mammals can hear sounds extending over a vast range of sound levels with remarkable accuracy. How auditory neurons code sound level over such a range is unclear; firing rates of individual neurons increase with sound level over only a very limited portion of the full range of hearing. We show that neurons in the auditory midbrain of the guinea pig adjust their responses to the mean, variance and more complex statistics of sound level distributions. We demonstrate that these adjustments improve the accuracy of the neural population code close to the region of most commonly occurring sound levels. This extends the range of sound levels that can be accurately encoded, fine-tuning hearing to the local acoustic environment.

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Publisher copy:
10.1038/nn1541

Authors


Journal:
Nature neuroscience More from this journal
Volume:
8
Issue:
12
Pages:
1684-1689
Publication date:
2005-12-01
DOI:
EISSN:
1546-1726
ISSN:
1097-6256


Language:
English
Keywords:
Pubs id:
pubs:382831
UUID:
uuid:11299d8b-244c-49c5-b3d5-0cba6f0da238
Local pid:
pubs:382831
Source identifiers:
382831
Deposit date:
2013-11-16
ARK identifier:

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