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