Stochastic Models of Neuron Activity

  • Ronald J. MacGregor
  • Edwin R. Lewis


Several mathematically oriented modelers have tried to use simple stochastic models to represent spontaneous firing in neurons. These modelers have typically tried to predict the relative occurrence of time intervals of various durations between the adjacent spikes in an output spike train which is produced by applying the threshold rule to some assumed random distribution of input events. This problem has been found to be virtually unsolvable mathematically, despite its apparent physical simplicity and its extremely modest goal.


State Point Stochastic Model Drift Velocity Output Pulse Interspike Interval 
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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Copyright information

© Plenum Press, New York 1977

Authors and Affiliations

  • Ronald J. MacGregor
    • 1
  • Edwin R. Lewis
    • 2
  1. 1.University of ColoradoBoulderUSA
  2. 2.University of CaliforniaBerkeleyUSA

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