Skip to main content

Modeling Neurons of the Inferior Colliculus

  • Conference paper
Book cover Advances in Cognitive Neurodynamics ICCN 2007

Abstract

The MiCRAM project has been developing detailed neural models of the inferior colliculus (IC) as the basis for understanding the neural networks that underlie early auditory processing at that level. The initial phase of this project has been to develop biologically plausible models of the physiologically distinct cell types of the IC. This has led to the recognition that some of the gross behavior that produces delay sensitivity may be the result of detailed dynamic interactions between multiple channels.

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 389.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 499.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 499.99
Price excludes VAT (USA)
  • Durable hardcover 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. Rees, A., et al.: Regularity of Firing of Neurons in the Inferior Colliculus. Journal of Neurophysiology. 77 (1997) 2945–2965.

    PubMed  CAS  Google Scholar 

  2. Wilson, M., et al.: GENESIS, the Caltech Neural Network Simulator. (1991) Available from: ftp://genesis.caltech.edu/

    Google Scholar 

  3. Wiener, M.C. and B.J. Richmond: Decoding Spike Trains Instant by Instant Using Order Statistics and the Mixture-of-Poissons Model. Journal of Neuroscience. 23 (2003) 2394–2406.

    PubMed  CAS  Google Scholar 

  4. Kass, R.E. and V. Ventura: A Spike-Train Probability Model. Neural Computation. 13 (2001) 1713–1720.

    Article  PubMed  CAS  Google Scholar 

  5. Eden, U.T., et al.: Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. Neural Computation. 16 (2004) 971–998.

    Article  PubMed  Google Scholar 

  6. Brown, E.N., et al.: The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. Neural Computation. 14 (2001) 325–341.

    Article  Google Scholar 

  7. Sivaramakrishnan, S. and D.L. Oliver: Distinct K Currents Result in Physiologically Distinct Cell Types in the Inferior Colliculus of Rat. Journal of Neuroscience. 21 (2001) 2861–2877.

    PubMed  CAS  Google Scholar 

  8. De Schutter, E. and J.M. Bower: An Active Membrane Model of the Cerebellar Purkinje Cell: I. Simulation of Current Clamps in Slice. Journal of Neurophysiology. 71 (1994) 375–400.

    PubMed  Google Scholar 

  9. Olsen, J.F.: Processing of Biosonar Information by the Medial Geniculate Body of the Mustached Bat, Pteronotus parnelli. Washington University (1986).

    Google Scholar 

  10. Simmons, J.A., et al.: Discrimination of Jittered Sonar Echoes by the Echolocating Bat, Eptesicus fuscus: the Shape of Target Images in Echolocation. Journal of Comparative Physiology A. 167 (1990) 589–616.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Erwin, H., Elshaw, M., Rees, A., Perez-Gonzalez, D., Wermter, S. (2008). Modeling Neurons of the Inferior Colliculus. In: Wang, R., Shen, E., Gu, F. (eds) Advances in Cognitive Neurodynamics ICCN 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8387-7_12

Download citation

Publish with us

Policies and ethics