| Title |
Modeling coincidence detection in nucleus laminaris
|
|---|---|
| Published in |
Biological Cybernetics, November 2003
|
| DOI | 10.1007/s00422-003-0444-4 |
| Pubmed ID | |
| Authors |
Victor Grau-Serrat, Catherine E. Carr, Jonathan Z. Simon |
| Abstract |
A biologically detailed model of the binaural avian nucleus laminaris is constructed, as a two-dimensional array of multicompartment, conductance-based neurons, along tonotopic and interaural time delay (ITD) axes. The model is based primarily on data from chick nucleus laminaris. Typical chick-like parameters perform ITD discrimination up to 2 kHz, and enhancements for barn owl perform ITD discrimination up to 6 kHz. The dendritic length gradient of NL is explained concisely. The response to binaural out-of-phase input is suppressed well below the response to monaural input (without any spontaneous activity on the opposite side), implicating active potassium channels as crucial to good ITD discrimination. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 24% |
| United States | 2 | 8% |
| Unknown | 17 | 68% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 32% |
| Student > Ph. D. Student | 3 | 12% |
| Professor | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 6 | 24% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 60% |
| Neuroscience | 6 | 24% |
| Linguistics | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 February 2012.
All research outputs
#6,352,541
of 25,371,288 outputs
Outputs from Biological Cybernetics
#153
of 678 outputs
Outputs of similar age
#26,172
of 142,397 outputs
Outputs of similar age from Biological Cybernetics
#1
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 142,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them