Qualitative Electrotonic Comparison of Three Classes of Hippocampal Neurons in the Rat

  • Nicholas T. Carnevale
  • Kenneth Y. Tsai
  • Brenda J. Claiborne
  • Thomas H. Brown
Conference paper


Mammalian neurons have traditionally been classified on the basis of morphology, but the functional implications of morphology depend also on the biophysical properties of membrane and cytoplasm. The principles that underlie the relationship between anatomy and biophysics on the one hand and neuronal electrotonus on the other are well understood (Rall, 1977; Jack et al., 1983). However, spatiotemporal complexity makes it difficult to draw reliable inferences about the dynamics of electrical signaling in neurons from their neuroanatomical appearance and biophysical parameters.


Granule Cell Hippocampal Neuron Pyramidal Neuron Cell Class Passive Membrane Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Brown TH, Zador AM, Mainen ZF, Claiborne BJ (1992) Hebbian computations in hippocampal dendrites and spines. In: McKenna T, Davis J, Zornetzer SF, eds. Single Neuron Computation. Academic Press, pp. 81–116.Google Scholar
  2. Carnevale NT, Johnston D (1982) Electrophysiological characterization of remote chemical synapses. J. Neurophysiol. 47:606–621.Google Scholar
  3. Claiborne, BJ (1992) The use of computers for the quantitative, three-dimensional analysis of dendritic trees. In: Conn PM, ed. Methods in Neuroscience. Vol. 10: Computers and Computation in the Neurosciences. Academic Press, pp. 315–330.Google Scholar
  4. Hines M (1993) NEURON—A program for simulation of nerve equations. In: Eeckman F, ed. Neural Systems: Analysis and Modeling. Kluwer, Norwell, MA. pp. 127–136.CrossRefGoogle Scholar
  5. Jack JIB, Noble D, Tsien RW (1983) Electric Current Flow in Excitable Cells. Oxford University Press, London, 1983.Google Scholar
  6. Rall W (1977) Core conductor theory and cable properties of neurons. In: Kandel ER, ed., Handbook of Physiology, The Nervous System. Amer. Physiol. Soc., Bethesda, MD. pp. 39–98.Google Scholar
  7. Rihn LL, Claiborne BJ (1990) Dendritic growth and regression in rat dentate granule cells during late postnatal development. Brain Res. Dev. 54(1):115–24.CrossRefGoogle Scholar
  8. Spruston N, Johnston D (1992) Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons. J. Neurophysiol. 67:508–529.Google Scholar
  9. Tsai KY, Carnevale NT, Claiborne BJ, Brown TH (1993) Morphoelectrotonic transforms in three classes of rat hippocampal neurons. Soc. Neurosci. Abst. 19:1522 (Abstract).Google Scholar
  10. Tsai KY, Carnevale NT, Claiborne BJ, Brown TH (1994) Efficient mapping from neuroanatomical to electrotonic space. Network 5:21–46.MATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Nicholas T. Carnevale
    • 1
  • Kenneth Y. Tsai
    • 1
  • Brenda J. Claiborne
    • 2
  • Thomas H. Brown
    • 3
  1. 1.Center for Theoretical and Applied Neuroscience, and Department of PsychologyYale UniversityNew HavenUSA
  2. 2.Division of Life SciencesUniversity of Texas at San AntonioSan AntonioUSA
  3. 3.Department of Psychology, and Department of Cellular and Molecular PhysiologyYale UniversityNew HavenUSA

Personalised recommendations