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The neuronal representation of pitch in primate auditory cortex

Author

Listed:
  • Daniel Bendor

    (Johns Hopkins University School of Medicine)

  • Xiaoqin Wang

    (Johns Hopkins University School of Medicine)

Abstract

Music to the ears Pitch is fundamental to our perception of music. A single musical note is placed higher or lower on a musical scale according to its pitch, which is related to the frequency of its acoustic waveform. But pitch perception can remain constant despite large changes in the acoustical input. This may be important for music appreciation, and, importantly, speech perception. Animals too can recognize pitch and now experiments in marmoset monkeys provide evidence for neurons that respond in similar ways to a variety of different sounds that all have the same fundamental frequency. These neurons, grouped in a specific area in the auditory cortex, may therefore encode the pitch of complex sounds.

Suggested Citation

  • Daniel Bendor & Xiaoqin Wang, 2005. "The neuronal representation of pitch in primate auditory cortex," Nature, Nature, vol. 436(7054), pages 1161-1165, August.
  • Handle: RePEc:nat:nature:v:436:y:2005:i:7054:d:10.1038_nature03867
    DOI: 10.1038/nature03867
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    Citations

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    Cited by:

    1. Patrick C M Wong & Bharath Chandrasekaran & Jing Zheng, 2012. "The Derived Allele of ASPM Is Associated with Lexical Tone Perception," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
    2. Philip J Monahan & Kevin de Souza & William J Idsardi, 2008. "Neuromagnetic Evidence for Early Auditory Restoration of Fundamental Pitch," PLOS ONE, Public Library of Science, vol. 3(8), pages 1-6, August.
    3. Gwangsu Kim & Dong-Kyum Kim & Hawoong Jeong, 2024. "Spontaneous emergence of rudimentary music detectors in deep neural networks," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. R Channing Moore & Tyler Lee & Frédéric E Theunissen, 2013. "Noise-invariant Neurons in the Avian Auditory Cortex: Hearing the Song in Noise," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-14, March.
    5. Daniel Bendor, 2015. "The Role of Inhibition in a Computational Model of an Auditory Cortical Neuron during the Encoding of Temporal Information," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-25, April.
    6. Oded Barzelay & Miriam Furst & Omri Barak, 2017. "A New Approach to Model Pitch Perception Using Sparse Coding," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-36, January.
    7. Falk Lieder & Klaas E Stephan & Jean Daunizeau & Marta I Garrido & Karl J Friston, 2013. "A Neurocomputational Model of the Mismatch Negativity," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-14, November.
    8. Mark R. Saddler & Ray Gonzalez & Josh H. McDermott, 2021. "Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception," Nature Communications, Nature, vol. 12(1), pages 1-25, December.
    9. Christophe Micheyl & Paul R Schrater & Andrew J Oxenham, 2013. "Auditory Frequency and Intensity Discrimination Explained Using a Cortical Population Rate Code," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-7, November.
    10. Weiping Yang & Jingjing Yang & Yulin Gao & Xiaoyu Tang & Yanna Ren & Satoshi Takahashi & Jinglong Wu, 2015. "Effects of Sound Frequency on Audiovisual Integration: An Event-Related Potential Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.

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