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    • Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains
      Python
      GNU General Public License v3.0
      41000Updated Oct 30, 2019Oct 30, 2019
    • Extension for integrate-and-fire neuron models to account for the effects of weak electric fields and input filtering caused by the dendrite: a Python implementation. The extension components were derived from a ball-and-stick model, see Aspart, Ladenbauer, Obermayer (2016).
      Jupyter Notebook
      GNU General Public License v3.0
      1000Updated May 14, 2019May 14, 2019
    • Analysis methods for the relationship between spontaneous neural firing and cardiac cycle duration
      MATLAB
      GNU General Public License v3.0
      0000Updated May 14, 2019May 14, 2019
    • Analytical methods to study the spiking dynamics of (populations of) two-compartment model neurons in the presence/absence of an extracellular electric field
      Python
      GNU General Public License v3.0
      0000Updated May 14, 2019May 14, 2019
    • Python
      GNU General Public License v3.0
      0000Updated May 8, 2019May 8, 2019
    • Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) solution of the full FP PDE, (ii) low-dim. ODE via spectral decomposition of the FP operator, (iii) low-dim. ODE via a linear-nonlinear cascade semianalytically fit to the FP model.
      Python
      GNU General Public License v3.0
      81000Updated Apr 23, 2019Apr 23, 2019
    • Implementation to calculate phase response curves and interaction functions for oscillating adaptive exponential integrate-and-fire neurons.
      MATLAB
      GNU General Public License v3.0
      0000Updated Feb 4, 2018Feb 4, 2018