/HetFFN-

Codes for paper "Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks", NeurIPS 2020

Primary LanguagePythonMIT LicenseMIT

HetFFN

Codes for paper "Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks", NeurIPS 2020

Dependences:

  • Python==2.7.13 (Python 3 should also work)
  • Brian2==2.1.1
  • h5py==2.7.0
  • scipy==0.19.1
  • matplotlib==2.0.2

To generate the data for Fig. 1(C) and Appendix Fig. A1

python Single_neuron_threshold.py

To generate the data for Fig. 2 and Appendix Fig. A4

python Jeanne-Wilson-2015-DEsynapse.py
python Jeanne-Wilson-2015-DEsynapse-OUinput.py

To generate the data for Fig. 3, 4 Appendix Fig. A2, A5

python Deep-FFN.py
python Deep-FFN-OUinput.py

To generate the data for Appendix Fig. A3

python Deep-FFN-Inh.py

Data will be saved to ./data/ in .mat format.