Noise-invariant neurons in the avian auditory cortex: hearing the song in noise.
Noise-invariant neurons in the avian auditory cortex: hearing the song in noise.
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DOI：
10.1371/journal.pcbi.1002942
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发表时间：
2013
影响因子：
4.3
通讯作者：
Theunissen FE
中科院分区：
文献类型：
--
作者：
Moore RC;Lee T;Theunissen FE
Given the extraordinary ability of humans and animals to recognize communication signals over a background of noise, describing noise invariant neural responses is critical not only to pinpoint the brain regions that are mediating our robust perceptions but also to understand the neural computations that are performing these tasks and the underlying circuitry. Although invariant neural responses, such as rotation-invariant face cells, are well described in the visual system, high-level auditory neurons that can represent the same behaviorally relevant signal in a range of listening conditions have yet to be discovered. Here we found neurons in a secondary area of the avian auditory cortex that exhibit noise-invariant responses in the sense that they responded with similar spike patterns to song stimuli presented in silence and over a background of naturalistic noise. By characterizing the neurons' tuning in terms of their responses to modulations in the temporal and spectral envelope of the sound, we then show that noise invariance is partly achieved by selectively responding to long sounds with sharp spectral structure. Finally, to demonstrate that such computations could explain noise invariance, we designed a biologically inspired noise-filtering algorithm that can be used to separate song or speech from noise. This novel noise-filtering method performs as well as other state-of-the-art de-noising algorithms and could be used in clinical or consumer oriented applications. Our biologically inspired model also shows how high-level noise-invariant responses could be created from neural responses typically found in primary auditory cortex. Birds and humans excel at the task of detecting important sounds, such as song and speech, in difficult listening environments such as in a large bird colony or in a crowded bar. How our brains achieve such a feat remains a mystery to both neuroscientists and audio engineers. In our research, we found a population of neurons in the brain of songbirds that are able to extract a song signal from a background of noise. We explain how the neurons are able to perform this task and show how a biologically inspired algorithm could outperform the best noise-reduction methods proposed by engineers.
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DOI：
10.1126/science.1194908
发表时间：
2010-11-05
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Freiwald WA;Tsao DY
通讯作者：
Tsao DY
影响因子：
4.3
作者：
Elliott TM;Theunissen FE
通讯作者：
Theunissen FE
DOI：
10.1109/tassp.1984.1164317
发表时间：
1984-01-01
期刊：
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子：
--
作者：
GRIFFIN, DW;LIM, JS
通讯作者：
LIM, JS
影响因子：
2.5
作者：
Gill, Patrick;Woolley, Sarah M. N.;Theunissen, Frederic E.
通讯作者：
Theunissen, Frederic E.
影响因子：
1.4
作者：
Benney, KS;Braaten, RF
通讯作者：
Braaten, RF