Title |
Decoding neural responses to temporal cues for sound localization
|
---|---|
Published in |
eLife, December 2013
|
DOI | 10.7554/elife.01312 |
Pubmed ID | |
Authors |
Dan FM Goodman, Victor Benichoux, Romain Brette |
Abstract |
The activity of sensory neural populations carries information about the environment. This may be extracted from neural activity using different strategies. In the auditory brainstem, a recent theory proposes that sound location in the horizontal plane is decoded from the relative summed activity of two populations in each hemisphere, whereas earlier theories hypothesized that the location was decoded from the identity of the most active cells. We tested the performance of various decoders of neural responses in increasingly complex acoustical situations, including spectrum variations, noise, and sound diffraction. We demonstrate that there is insufficient information in the pooled activity of each hemisphere to estimate sound direction in a reliable way consistent with behavior, whereas robust estimates can be obtained from neural activity by taking into account the heterogeneous tuning of cells. These estimates can still be obtained when only contralateral neural responses are used, consistently with unilateral lesion studies. DOI: http://dx.doi.org/10.7554/eLife.01312.001. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 50% |
Canada | 1 | 17% |
France | 1 | 17% |
United States | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
France | 1 | 1% |
Germany | 1 | 1% |
Iran, Islamic Republic of | 1 | 1% |
United Kingdom | 1 | 1% |
Unknown | 74 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 29% |
Student > Ph. D. Student | 17 | 21% |
Student > Master | 11 | 14% |
Professor | 7 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 7 | 9% |
Unknown | 11 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 21 | 26% |
Agricultural and Biological Sciences | 17 | 21% |
Engineering | 7 | 9% |
Physics and Astronomy | 4 | 5% |
Medicine and Dentistry | 4 | 5% |
Other | 14 | 18% |
Unknown | 13 | 16% |