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Understanding Auditory Processing: Hair Cells, Spectrograms, and Computational Neuroscience

This lecture explores the intricate workings of the inner ear, focusing on the cochlea and its hair cells, which play pivotal roles in auditory processing. Viewers will learn how outer and inner hair cells amplify sound and signal information to the brain, respectively. The concept of the windowed Fourier transform, coupled with Weber’s Law, provides insights into auditory frequency response. Additionally, the lecture discusses the application of spectrograms in understanding bird songs and highlights the importance of linear modeling in analyzing auditory systems, referencing research from Sen et al.

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Understanding Auditory Processing: Hair Cells, Spectrograms, and Computational Neuroscience

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Presentation Transcript

  1. Computational Neuroscience Lecture 7 Conor Houghton

  2. PICTURE FROM WIKIPEDIA

  3. PICTURES FROM WIKIPEDIA The inner ear CROSS SECTION OF THE COCHLEA COCHLEA

  4. Outer hair cells amplify • Video of dancing haircell. http://youtube.com/ /watch?v=Xo9bwQuYrRo

  5. Inner hair cells signal • Video about the inner ear, with the sound removed. http://youtube.com/ /watch?v= 1VmwHiRTdVc

  6. Stereocilia of a frog’s inner ear PICTURE FROM WIKIPEDIA

  7. Different hair cells respond to different frequencies – all hair cells respond to sound over a short time window.

  8. This gives a windowed Fourier transform.

  9. Windowed Fourier transform

  10. s(t)

  11. k(t)

  12. s(t)k(t)

  13. Weber’s law • Roughly speaking – effect goes like the log of the cause. • Sort of holds for the auditory system. • Use log|S(k,t)| • SMALL PRINT: The phase information is gone, however, we have overlapping windows and two variables; there are theorems that say we haven’t lost anything.

  14. Spectrogram • Zebra finch song and spectrogram. http://youtube.com/ /watch?v= 5hcKa86WJbg

  15. Spectrogram • Repeat of zebra finch song. http://youtube.com/ /watch?v= 5hcKa86WJbg

  16. Zebra finches http://effieex3.tumblr.com/post/20369494508

  17. Zebra finch brain

  18. Maybe it’s like vision?

  19. Linear model

  20. Error

  21. Minimize error

  22. Calculate the STRF

  23. From Sen et al. J Neuro 2001

  24. From Sen et al. J Neuro 2001

  25. From Sen et al. J Neuro 2001

  26. So? • Works better than you might expect, particularly in the lower part of the pathway. • Does not give the whole story, particularly further up the pathway. • The calculation is hairy, but seems to work, certainly don’t try to improve it. • The STRFs aren’t quite as revealing as you’d expect.

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