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The role of dendrites in auditory coincidence detection

Author

Listed:
  • Hagai Agmon-Snir

    (Mathematical Research Branch, NIDDK, National Institutes of Health)

  • Catherine E. Carr

    (University of Maryland)

  • John Rinzel

    (Mathematical Research Branch, NIDDK, National Institutes of Health
    New York University, Center for Neural Science and Courant Institute of Mathematical Sciences)

Abstract

Coincidence-detector neurons in the auditory brainstem of mammals and birds use interaural time differences to localize sounds1,2. Each neuron receives many narrow-band inputs from both ears and compares the time of arrival of the inputs with an accuracy of 10–100 µs (3–6). Neurons that receive low-frequency auditory inputs (up to about 2 kHz) have bipolar dendrites, and each dendrite receives inputs from only one ear7,8. Using a simple model that mimics the essence of the known electrophysiology and geometry of these cells, we show here that dendrites improve the coincidence-detection properties of the cells. The biophysical mechanism for this improvement is based on the nonlinear summation of excitatory inputs in each of the dendrites and the use of each dendrite as a current sink for inputs to the other dendrite. This is a rare case in which the contribution of dendrites to the known computation of a neuron may be understood. Our results show that, in these neurons, the cell morphology and the spatial distribution of the inputs enrich the computational power of these neurons beyond that expected from ‘point neurons’ (model neurons lacking dendrites).

Suggested Citation

  • Hagai Agmon-Snir & Catherine E. Carr & John Rinzel, 1998. "The role of dendrites in auditory coincidence detection," Nature, Nature, vol. 393(6682), pages 268-272, May.
  • Handle: RePEc:nat:nature:v:393:y:1998:i:6682:d:10.1038_30505
    DOI: 10.1038/30505
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    Cited by:

    1. Romain Daniel Cazé & Mark Humphries & Boris Gutkin, 2013. "Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions," PLOS Computational Biology, Public Library of Science, vol. 9(2), pages 1-15, February.
    2. Yang Yiling & Katharine Shapcott & Alina Peter & Johanna Klon-Lipok & Huang Xuhui & Andreea Lazar & Wolf Singer, 2023. "Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Xiliang Zhang & Sichen Tao & Zheng Tang & Shuxin Zheng & Yoki Todo, 2023. "The Mechanism of Orientation Detection Based on Artificial Visual System for Greyscale Images," Mathematics, MDPI, vol. 11(12), pages 1-13, June.

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