Biological Cybernetics

, Volume 33, Issue 4, pp 223–236 | Cite as

Pattern generation in the lobster (Panulirus) stomatogastric ganglion

II. Pyloric network simulation
  • Daniel K. Hartline


1. Results from the companion paper were incorporated into a physiologically realistic computer model of the three principal cell types (PD/AB, LP, PY) of the pyloric network in the stomatogastric ganglion. Parameters for the model were mostly calculated (sometimes estimated) from experimental data rather than fitting the model to observed output patterns. 2. The initial run was successful in predicting several features of the pyloric pattern: the observed gap between PD and LP bursts, the appropriate sequence of the activity periods (PD, LP, PY), and a substantial PY burst not properly simulated by an earlier model. 3. The major discrepancy between model and observed patterns was the too-early occurrence of the PY burst, which resulted in a much shortened LP burst. Motivated by this discrepancy, additional investigations were made of PY properties. A hyperpolarization-enabled depolorization-activated hyperpolarizing conductance change was discovered which may make an important contribution to the late phase of PY activity in the normal burst cycle. Addition of this effect to the model brought its predictions more in line with observed patterns. 4. Other discrepancies between model and observation were instructive and are discussed. The findings force a substantial revision in previously held ideas on pattern production in the pyloric system. More weight must be given to functional properties of individual neurons and less to properties arising purely from network interactions. This shift in emphasis may be necessary in more complicated systems as well. 5. An example has been provided of the value quantitative modeling can be to network physiology. Only through rigorous quantitative testing can qualitative theories of how the nervous system operates be substantiated.


Companion Paper Conductance Change Principal Cell Qualitative Theory Quantitative Testing 
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.


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  1. Connor, J.A.: Neural repetitive firing: a comparative study of membrane properties of crustacean walking leg axons. J. Neurophysiol. 38, 922–932 (1975)Google Scholar
  2. Connor, J.A., Stevens, C.F.: Voltage clamp studies of a transient outward membrane current in gastropod neural somata. J. Physiol. 213, 21–30 (1971)Google Scholar
  3. Connor, J.A., Walter, D., McKown, R.: Neural repetitive firing. Modifications of the Hodgkin-Huxley axon suggested by experimental results from crustacean axons. Biophys. J. 18, 81–102 (1977)Google Scholar
  4. Getting, P.A., Willows, A.O.D.: Modification of neuron properties by electrotonic synapses. II. Burst formation by electrotonic synapses. J. Neurophysiol. 37, 858–868 (1974)Google Scholar
  5. Graubard, K., Raper, J.A., Hartline, D.K.: Non-spiking synaptic transmission between spiking neurons. Neurosci. Abstr. 3, 177 (1977)Google Scholar
  6. Hartline, D.K.: SNAX: a language for interactive neuronal modeling and data processing. In: Computer technology in neuroscience. p. 41. Brown, P.B. (ed.). Washington D.C.: Hemisphere Press 1976aGoogle Scholar
  7. Hartline, D.K.: Simulation of phase-dependent pattern changes to perturbations of regular firing in crayfish stretch receptor. Brain Res. 110, 245–257 (1976b)Google Scholar
  8. Hartline, D.K.: Quantitative analysis of pyloric network in stomatogastric ganglion. Neurosci. Abstr. 2, 324 (1976c)Google Scholar
  9. Hartline, D.K.: On the pitfalls of modeling and not-modeling. Brain Theory Newsletter 2, 25–27 (1976d)Google Scholar
  10. Hartline, D.K., Gassie, D.V.: Pattern generation in the lobster (Panulirus) stomatogastric ganglion. I. Pyloric neuron kinetics and synaptic interactions. Biol. Cybernetics 33, 209–222 (1979)Google Scholar
  11. Hartline, D.K., Gassie, D.V., Sirchia, C.D.: Burst reset properties in an endogenously bursting network-driver cell (in preparation)Google Scholar
  12. Hartline, D.K., Maynard, D.M.: Motor patterns in the stomatogastric ganglion of the lobster, Panulirus argus. J. Exp. Biol. 62, 405–420 (1975)Google Scholar
  13. Hartline, H.K., Ratliff, F.: Inhibitory interaction of receptor units in the eye of Limulus. J. Gen. Physiol. 40, 357–376 (1957)Google Scholar
  14. Hodgkin, A.L., Huxley, A.F.: A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500–544 (1952)Google Scholar
  15. Hodgkin, A.L., Rushton, W.A.H.: The electrical constants of a crustacean nerve fibre. Proc. R. Soc. London, Ser. B133, 44–479 (1946)Google Scholar
  16. Lange, G.D., Hartline, H.K., Ratliff, F.: The dynamics of lateral inhibition in the compound eye of Limulus. II. In: The functional organization of the compound eye, p. 425. Bernhard, C.G. (ed.). New York: Pergamon Press 1966Google Scholar
  17. Mayeri, E.M.: A relaxation oscillator description of the burst generating mechanism in the cardiac ganglion of the lobster Homarus americanus. J. Gen. Physiol. 62, 473–488 (1973)Google Scholar
  18. Maynard, D.M.: Simpler networks. Ann. N.Y. Acad. Sci. 193, 59–72 (1972)Google Scholar
  19. Maynard, D.M., Selverston, A.I.: Organization of the stomatogastric ganglion of the spiny lobster. IV. The pyloric system. J. Comp. Physiol. 100, 161–182 (1976)Google Scholar
  20. Miller, J.P.: Neuropil recording in the lobster stomatogastric ganglion. Neurosci. Abstr. 1, 579 (1976)Google Scholar
  21. Rall, W.: Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. J. Neurophysiol. 30, 1138–1168 (1967)Google Scholar
  22. Rinzel, J., Rall, W.: Transient response in a dendritic neuron model for current injected at one branch. Biophys. J. 14, 759–790 (1974)Google Scholar
  23. Russell, D.F., Hartline, D.K.: Inputs to the lobster stomatogastric ganglion unmask bursting properties in many of its motorneurons. Neurosci. Abstr. 3, 384 (1977)Google Scholar
  24. Russell, D.F., Hartline, D.K.: Bursting neural networks: a re-examination. Science 200, 453–456 (1978)Google Scholar
  25. Selverston, A.I.: Structural and functional basis of motor pattern generation in the stomatogastric ganglion of the lobster. Am. Zool. 14, 957–972 (1974)Google Scholar
  26. Selverston, A.I., Russell, D.F., Miller, J.P., King, D.G.: The stomatogastric nervous system: structure and function of a small neural network. Progr. Neurobiol. 6, 1–75 (1976)Google Scholar
  27. Stevens, C.F.: A quantitative theory of neural interactions: theoretical and experimental investigations. Thesis, Rockefeller University, 1964Google Scholar
  28. Warshaw, H.S., Hartline, D.K.: Simulation of network activity in stomatogastric ganglion of the spiny lobster, Panulirus. Brain Res. 110, 259–272 (1976)Google Scholar

Copyright information

© Springer-Verlag 1979

Authors and Affiliations

  • Daniel K. Hartline
    • 1
  1. 1.Department of BiologyUniversity of CaliforniaSan Diego, La JollaUSA

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