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The LCN-HippoModel is a biophysically realistic model of CA1 pyramidal cells aimed to get novel insights on firing dynamics in deep and superficial populations during the theta rhythm.

Home Page: http://hippo-circuitlab.es/

AMPL 34.65% Python 65.35%
pyramidal-cells theta theta-cycles theta-rhythm firing-dynamics intrinsic-properties synaptics inhibitory-inputs hippocampus evolutionary-models

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lcn-hippomodel's Issues

To many spikes

Hello,

I've been conducting several tests on the model, but I consistently encounter a recurring issue with the output: each test run produces many of spikes, 1-2 spikes per theta cycle. This pattern persists regardless of the platform or software version used.
Recordings_Plot

This is my first experience with the NEURON environment, and I may have messed something up in my setup or execution.
For each system, the MOD-files where compiled with nrnivmodl
Here's a brief overview of my testing environments:

  • NEURON v7.4 + Python (v2.7) (attached image) , Windows PC
  • NEURON v 8.2 + python(v3.11), Windows PC
  • and in Google COLAB

I had to adapt the original Python 2.7 scripts, such as converting map objects to lists in the LCNhm_class.py file.I used the h.nrn_load_dll function to load the mechanism. These modifications are noted in the attached LCNhm_class.txt, the changes are marked # Changed by Abdu

LCNhm_class.txt

Could you provide any insights or suggestions that might help resolve these consistent output spikes?

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