    This is the readme for the model associated with the paper:

    S. K. Sudhakar, B. Torben-Nielsen, E. De Schutter: Cerebellar nuclear
    neurons use time and rate coding to transmit Purkinje neuron
    pauses. PLoS Computational Biology in press

    The CN neuron model is based on previously published model,

    V. Steuber, N.W. Schultheiss, R.A. Silver, E. De Schutter, D. Jaeger,
    Determinants of synaptic integration and heterogeneity in rebound
    firing explored with data-driven models of deep cerebellar nucleus
    cells., J. Comput. Neurosci. 30 (2011)
    633–58. doi:10.1007/s10827-010-0282-z.

    Download, extract, and compile the mod files with the "nrnivmodl"
    command after cd'ing to the extracted folder. For more help on
    downloading and running NEURON models from ModelDB see:
    http://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html

    The following commands reproduces figure 1 from the paper (Sudhakar et al)

    Fig 1a:
    nrngui -c "x=1" DCN_init_model2_lowgain.hoc
    (Note: this is the same simulation as provided in the auto-launch from
    ModelDB) After a brief wait you should see an image like this on the
    screen:

    Fig 1b:
    nrngui -c "x=1" DCN_init_model2_medgain.hoc

    Fig 1c:
    nrngui -c "x=1" DCN_init_model2_highgain.hoc

    Model output:

    m2_a1.bin -- Membrane potential traces of the model run for 1000 ms
    m2_b1.bin -- Spike times of the model run for 1000 ms

    The following data files represent model input.

    datasp1.dat : spike times of 200 Purkinje cells for Pause beginning
                  synchronization
    l1.dat: Length of spike times of each Purkinje cell
    datasp_ex1.dat: Poisson spike times of 100 mossy fibers
    l_ex1.dat: Length of spike times of each mossy fiber

    Changelog
    ---------
    2022-12: Fix 9.0.0 Upcoming error: new_seed used as both variable and function in file Ifluct8.mod