Skip to main content
Log in

From stimulus encoding to feature extraction in weakly electric fish

  • Letter
  • Published:

From Nature

View current issue Submit your manuscript

Abstract

ANIMALS acquire information about sensory stimuli around them and encode it using an analogue or a pulse-based code. Beha-viourally relevant features need to be extracted from this representation for further processing. In the electrosensory system of weakly electric fish, single P-type electroreceptor afferents accurately encode the time course of random modulations in electric-field amplitude1. We applied a stimulus estimation method2 and a signal-detection method to both P-receptor afferents and their targets, the pyramidal cells in the electrosensory lateral-line lobe. We found that although pyramidal cells do not accurately convey detailed information about the time course of the stimulus, they reliably encode up- and downstrokes of random modulations in electric-field amplitude. The presence of such temporal features is best signalled by short bursts of spikes, probably caused by dendritic processing, rather than by isolated spikes. Furthermore, pyramidal cells outperform P-receptor afferents in signalling the presence of temporal features in the stimulus waveform. We conclude that the sensory neurons are specialized to acquire information accurately with little processing, whereas the following stage extracts behaviourally relevant features, thus performing a nonlinear pattern-recognition task.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Wessel, R., Koch, C. & Gabbiani, F. J. Neurophysiol. 75, 2280–2293 (1996).

    Article  CAS  Google Scholar 

  2. Bialek, W., de Ruyter van Steveninck, R. & Warland, D. Science 252, 1854–1857 (1991).

    Article  ADS  CAS  Google Scholar 

  3. Zakon, H. in Electroreception (eds Bullock, T. H. & Heiligenberg, W.) 103–156 (Wiley, New York, 1986).

    Google Scholar 

  4. Bastian, J. in Electroreception (eds Bullock, T. H. & Heiligenberg, W.) 577–611 (Wiley, New York, 1986).

    Google Scholar 

  5. Hopkins, C. Annu. Rev. Neurosci. 11, 497–535 (1988).

    Article  ADS  CAS  Google Scholar 

  6. Maler, L., Sas, E. & Rogers, J. J. Comp. Neurol. 195, 87–139 (1981).

    Article  CAS  Google Scholar 

  7. Hopkins, C. J. Comp. Physiol. A 111, 171–207 (1976).

    Article  Google Scholar 

  8. Bastian, J. & Heilgenberg, W. J. Comp. Physiol. A 136, 135–152 (1980).

    Article  Google Scholar 

  9. Turner, R., Plant, J. & Maler, L. J. Neurophysiol. 76, 2364–2382 (1996).

    Article  CAS  Google Scholar 

  10. Heiligenberg, W. Neural Nets in Electric Fish (MIT Press, Cambridge, MA, 1991).

    Google Scholar 

  11. Poor, H. An Introduction to Signal Detection and Estimation (Springer, New York, 1994).

    Book  Google Scholar 

  12. Gabbiani, F. & Koch, C. Neural Computat. 8, 44–66 (1996).

    Article  Google Scholar 

  13. Gabbiani, F. Network: Comp. Neural. Syst. 7, 61–85 (1996).

    Google Scholar 

  14. Lehky, S., Sejnowski, T. & Desimone, R. J. Neurosci. 12, 3568–3581 (1992).

    Article  CAS  Google Scholar 

  15. Anderson, T. W. An Introduction to Multivariate Statistical Analysis (Wiley, New York, 1984).

    MATH  Google Scholar 

  16. Turner, R. W., Maler, L., Deerinck, T., Levinson, S. R. & Ellisman, M. H. J. Neurosci. 14, 6453–6471 (1994).

    Article  CAS  Google Scholar 

  17. Maler, L. & Mugnaini, E. J. Comp. Neurol. 345, 224–252 (1994).

    Article  CAS  Google Scholar 

  18. Yuste, R. & Tank, W. Neuron 16, 701–716 (1996).

    Article  CAS  Google Scholar 

  19. Bair, W., Koch, C., Newsome, W. & Britten, K. J. Neurosci. 14, 2870–2892 (1994).

    Article  CAS  Google Scholar 

  20. Allen, C. & Stevens, C. Proc. Natl Acad. Sci. USA 91, 10380–10383 (1994).

    Article  ADS  CAS  Google Scholar 

  21. Kawasaki, M., Rose, G. & Heiligenberg, W. Nature 336, 173–176 (1988).

    Article  ADS  CAS  Google Scholar 

  22. Metzner, W. & Heiligenberg, W. J. Comp. Physiol. A 169, 135–150 (1991).

    Article  CAS  Google Scholar 

  23. Metzner, W. J. Neurosci. 13, 1862–1878 (1993).

    Article  CAS  Google Scholar 

  24. Maler, L, Sas, E., Johnston, S. & Ellis, W. J. Chem. Neuroanat. 4, 1–38 (1991).

    Article  CAS  Google Scholar 

  25. Bastian, J. & Courtright, J. J. Comp. Physiol. A 168, 393–397 (1991).

    Article  CAS  Google Scholar 

  26. Carr, C., Maler, L. & Sas, E. J. Comp. Neurol. 211, 139–153 (1982).

    Article  CAS  Google Scholar 

  27. Krueger, J. & Becker, J. Trends Neurosci. 14, 282–286 (1991).

    Article  Google Scholar 

  28. Jolliffe, I. Principal Component Analysis (Springer, New York, 1986).

    Book  Google Scholar 

  29. Raudys, S. & Jain, A. IEEE Trans. Patt. Anal. Mach. Intell. 13, 252–264 (1991).

    Article  Google Scholar 

  30. Shumway, C. J. Neurosci. 9, 4388–4399 (1989).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gabbiani, F., Metzner, W., Wessel, R. et al. From stimulus encoding to feature extraction in weakly electric fish. Nature 384, 564–567 (1996). https://doi.org/10.1038/384564a0

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/384564a0

  • Springer Nature Limited

This article is cited by

Navigation