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Biological Cybernetics

, Volume 89, Issue 5, pp 388–396 | Cite as

Modeling coincidence detection in nucleus laminaris

  • Victor Grau-Serrat
  • Catherine E. Carr
  • Jonathan Z. Simon
Article

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.

Keywords

Potassium Time Delay Potassium Channel Spontaneous Activity Dendritic Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Abbreviations

NL

Nucleus Laminaris

NM

Nucleus Magnocellularis

ITD

Interaural Time Difference

BF

Best Frequency

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Notes

Acknowledgments.

Thanks to Raul Rodriguez Esteban, Kate MacLeod, Daphne Soares, and Suchitra Parameshwaran. Support was given to JZS by National Institutes of Health Grant No. R03DC04382 and NSF Grant No. 972033 and to CEC by National Institutes of Health Grant No. DCD00426.

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Victor Grau-Serrat
    • 1
    • 3
  • Catherine E. Carr
    • 2
    • 4
  • Jonathan Z. Simon
    • 1
    • 2
    • 3
    • 4
  1. 1.Department of Electrical and Computer EngineeringUniversity of MarylandUSA
  2. 2.Department of BiologyUniversity of MarylandUSA
  3. 3.Institute for Systems ResearchUniversity of MarylandUSA
  4. 4.Program in Neuroscience and Cognitive SciencesUniversity of MarylandUSA

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