Skip to main content

Modulation of Corticofugal Signals by Synaptic Changes in Bat’s Auditory System

  • Conference paper
Neural Information Processing. Theory and Algorithms (ICONIP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6443))

Included in the following conference series:

Abstract

Most species of bats making echolocation use Doppler-shifted frequency of ultrasonic echo pulse to measure the velocity of target. The neural circuits for detecting the target velocity are specialized for fine-frequency analysis of the second harmonic constant frequency (CF2) component of Doppler-shifted echoes. To perform the fine-frequency analysis, the feedback signals from cortex to subcortical and peripheral areas are needed. The feedback signals are known to modulate the tuning property of subcortical neurons. However, it is not yet clear the neural mechanism for the modulation of the tuning property. We present here a neural model for detecting Doppler-shifted frequency of echo sound reflecting a target. We show that the model reproduce qualitatively the experimental results on the modulation of tuning shifts of subcortical neurons. We also clarify the neural mechanism by which the tuning property is changed depending on the feedback connections between cortex and subcortex neurons.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ma, X., Suga, N.: Long-term cortical plasticity evoked by electric stimulation and acetylcholine applied to auditory cortex. Proc. Natl. Acad. Sci. USA 102, 9335–9340 (2005)

    Article  Google Scholar 

  2. Sakai, M., Suga, N.: Plasticity of cochleotopic (frequency) map in specialized and nonspecialized auditory cortices. Proc. Natl. Acad. Sci. USA 98, 3507–3512 (2001)

    Article  Google Scholar 

  3. Suga, N., Ma, X.: Multiparametric corticofugal modulation and plasticity in the auditory system. Nat. Rev. Neurosci. 4, 783–794 (2003)

    Article  Google Scholar 

  4. Xiao, Z., Suga, N.: Reorganization of the cochleotopic map in the bat’s auditory system by inhibition. Proc. Natl. Acad. Sci. USA 99, 15743–15748 (2002)

    Article  Google Scholar 

  5. Suga, N.: Cortical computational maps for auditory imaging. Neural Networks 3, 3–21 (1990)

    Article  Google Scholar 

  6. O’Neill, W.E., Suga, N.: Encoding of target range and its representation in the auditory cortex of the mustached bat. J. Neurosci. 2, 17–31 (1982)

    Google Scholar 

  7. Liu, W., Suga, N.: Binaural and comminssural organization of the primary auditory cortex of the mustached bat. J. Comp. Physiol. A 181, 599–605 (1997)

    Article  Google Scholar 

  8. Suga, N., Manabe, T.: Neural bases of amplitude–spectrum representation in auditory cortex of the mustached bat. J. Neurophysiol. 47, 225–255 (1982)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nagase, Y., Kashimori, Y. (2010). Modulation of Corticofugal Signals by Synaptic Changes in Bat’s Auditory System. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds) Neural Information Processing. Theory and Algorithms. ICONIP 2010. Lecture Notes in Computer Science, vol 6443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17537-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17537-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17536-7

  • Online ISBN: 978-3-642-17537-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics