Efficient Modeling of Realistic Neural Networks with Application to the Olfactory Bulb

  • John W. Tromp
  • Frank H. Eeckman


In this paper we present an algorithm that allows for stable and efficient calculation of the dynamics of networks of biologically realistic model neurons. The level of description is that of currents and voltages in compartments making up individual neurons in the network. Using this algorithm, the calculation time for a single neuron scales linearly with the number of compartments in that neuron. Thus, individual neurons in a network can be represented accurately.


Granule Cell Olfactory Bulb Mitral Cell Tridiagonal Matrix Synaptic Conductance 
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Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • John W. Tromp
    • 1
  • Frank H. Eeckman
    • 2
  1. 1.Department of Cell and Molecular BiologyU.C. BerkeleyUSA
  2. 2.O-Division, Lawrence Livermore Natl LabLivermoreUSA

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