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    August 15 1997

    The NEURON Simulation Environment

    In Special Collection:CogNet
    M. L. Hines,
    M. L. Hines
    Department of Computer Science and Neuroengineering and Neuroscience Center, Yale University, New Haven, CT 06520, U.S.A.
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    N. T. Carnevale
    N. T. Carnevale
    Psychology Department, Yale University, New Haven, CT 06520, U.S.A.
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    M. L. Hines
    Department of Computer Science and Neuroengineering and Neuroscience Center, Yale University, New Haven, CT 06520, U.S.A.
    N. T. Carnevale
    Psychology Department, Yale University, New Haven, CT 06520, U.S.A.
    Received:September 26 1996
    Accepted:January 10 1997
    Online ISSN: 1530-888X
    Print ISSN: 0899-7667
    © 1997 Massachusetts Institute of Technology
    1997
    Neural Computation (1997) 9 (6): 1179–1209.
    Article history
    Received:
    September 26 1996
    Accepted:
    January 10 1997
    Citation

    M. L. Hines,N. T. Carnevale; The NEURON Simulation Environment.Neural Comput 1997; 9 (6): 1179–1209. doi:https://doi.org/10.1162/neco.1997.9.6.1179

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      Abstract

      The moment-to-moment processing of information by the nervous system involves the propagation and interaction of electrical and chemical signals that are distributed in space and time. Biologically realistic modeling is needed to test hypotheses about the mechanisms that govern these signals and how nervous system function emerges from the operation of these mechanisms. The NEURON simulation program provides a powerful and flexible environment for implementing such models of individual neurons and small networks of neurons. It is particularly useful when membrane potential is nonuniform and membrane currents are complex. We present the basic ideas that would help informed users make the most efficient use of NEURON.

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      Review
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      © 1997 Massachusetts Institute of Technology
      1997
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      • Online ISSN 1530-888X
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