I provide here Jupyter notebooks (see http://jupyter.org/) reproducing the results of our research papers. Feel free to contact me for details or problems in running the code (or use github's issue tracker).

• Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Zerlaut Y., Chemla S., Chavane F. and Destexhe A. Journal of Computational Neuroscience (2018). https://doi.org/10.1007/s10827-017-0668-2

  https://github.com/yzerlaut/notebook_papers/blob/master/Modeling_Mesoscopic_Dynamics_JCNS_2017.ipynb

• Enhanced Responsiveness and Low-Level Awareness in Stochastic Network States Zerlaut Y. and Destexhe A. Neuron (2017) http://dx.doi.org/10.1016/j.neuron.2017.04.001

  The implementation combines those of the J. Neurosci. 2015 paper's implementation and the J. Comp. Neurosci. 2017 paper's implementation

• Heterogeneous firing responses predict diverse couplings to presynaptic activity in mice layer V pyramidal neurons Zerlaut Y. and Destexhe A. PLoS Computational Biology (2017) https://doi.org/10.1371/journal.pcbi.1005452

  https://github.com/yzerlaut/notebook_papers/blob/master/Diverse_Coupling_PlosCompBiol_2017.ipynb

• Heterogeneous firing response of mice layer V pyramidal neurons in the fluctuation-driven regime. Zerlaut Y., Telenczuk B., Deleuze C., Bal T., Ouanounou G. and Destexhe A. The Journal of Physiology (2016) http://dx.doi.org/10.1113/JP272317

  https://github.com/yzerlaut/notebook_papers/blob/master/Heterogeneous_Firing_responses_JPhysiol_2016.ipynb

• Gain Modulation of Synaptic Inputs by Network State in Auditory Cortex In Vivo Reig R., Zerlaut Y., Vergara R., Destexhe A. and Sanchez-Vives M.V. The Journal of Neuroscience (2015) https://doi.org/10.1523/JNEUROSCI.2004-14.2015

  https://github.com/yzerlaut/notebook_papers/blob/master/Gain_Modulation_JNeurosci_2015.ipynb