nb/2021-12-02__LIF_vs_Izh_subthreshold.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4abb0877",
   "metadata": {},
   "source": [
    "# 2021-12-02 • LIF vs Izhikevich subthreshold"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f57f6d36",
   "metadata": {},
   "source": [
    "Comparing neuron models: subthreshold behaviour of leaky integrate and fire vs Izhikevich neuron.\n",
    "\n",
    "Not included: HH, AdEx."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3a98705",
   "metadata": {},
   "source": [
    "## [Prelude]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f4c90d83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preloading: numpy, numba, matplotlib.pyplot, seaborn.\n",
      "Importing from submodules … ✔\n",
      "Imported `np`, `mpl`, `plt`, `sns`, `pd`\n",
      "Imported codebase (`voltage_to_wiring_sim`) as `v`\n",
      "Imported `*` from `v.support.units`\n",
      "Setup autoreload\n"
     ]
    }
   ],
   "source": [
    "from voltage_to_wiring_sim.notebook_init import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "23ef5982",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "This cell was last run by `lpxtf3` on `DUIP74576` on **Thu 09 Dec** 2021, at 09:52 (UTC+0000).<br>\n",
       "[Last git commit](https://github.com/tfiers/voltage-to-wiring-sim/tree/1185870d4b10a8ab130b9e552369cab0f3d8782a\n",
       ") (Thu 09 Dec 2021, 05:32).\n",
       "Uncommited changes to 3 files."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "v.print_reproducibility_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d47098f3",
   "metadata": {},
   "source": [
    "## Input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5a10772c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from voltage_to_wiring_sim.support.test_current import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "a6646517",
   "metadata": {},
   "outputs": [],
   "source": [
    "dt = 0.1 * ms\n",
    "duration = 1700 * ms\n",
    "\n",
    "timesteps = v.to_indices(duration, dt)\n",
    "\n",
    "I = np.zeros(timesteps)\n",
    "\n",
    "Q = 0.15 * nA * 10 * ms\n",
    "\n",
    "T = 200*ms\n",
    "τ = 10*ms\n",
    "add_δ(Q, (t_δ_up := 100*ms), I, dt)\n",
    "add_δ(-Q, (t_δ_down := 200*ms), I, dt)\n",
    "add_pulse_with_decay(Q, 300*ms, T, I, dt, τ)\n",
    "add_pulse_with_decay(-Q, 450*ms, T, I, dt, τ)\n",
    "add_pulse_with_decay(2*Q, 600*ms, T, I, dt, τ)\n",
    "add_pulse_with_decay(-2*Q, 750*ms, T, I, dt, τ)\n",
    "add_plateau(7.5*Q, 900*ms, T, I, dt)\n",
    "add_ramp(5*Q, 1200*ms, T, I, dt)\n",
    "add_pulse_with_decay(1.3*Q, 1500 * ms, T-100*ms, I, dt)\n",
    "add_pulse_with_decay(1.3*Q, 1530 * ms, T-100*ms, I, dt)\n",
    "add_pulse_with_decay(1.3*Q, 1560 * ms, T-100*ms, I, dt)\n",
    "\n",
    "ylims = (-0.38, 0.38);\n",
    "\n",
    "# fig, ax = plt.subplots(**v.figsize(aspect=5, width=1000))\n",
    "# t = np.linspace(0, duration/ms, timesteps, False)\n",
    "# plot_test_current(ax, t, I/nA, ylims)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a7279cd",
   "metadata": {},
   "source": [
    "## Leaky integrate and fire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "05d20af4",
   "metadata": {},
   "outputs": [],
   "source": [
    "C = 100 * pF;  # from Izh cortical RS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "0fd67a3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sim_LIF(I):\n",
    "    V_L = -60 * mV\n",
    "    V_th = -40 * mV\n",
    "    V_peak = 35 * mV  # just for plotting\n",
    "    V_reset = V_L\n",
    "    V0 = V_reset\n",
    "    R = 80 * Mohm  # from Izhikevich book: Cortical RS section.\n",
    "    # τ = 15 * ms  # = CR\n",
    "\n",
    "    N = I.size\n",
    "    V = np.ones(N) * V0\n",
    "\n",
    "    for i in range(N-1):\n",
    "\n",
    "        V[i+1] = V[i] + dt * ((V_L - V[i])/R + I[i]) / C\n",
    "\n",
    "        if V[i+1] > V_th:\n",
    "            V[i] = V_peak\n",
    "            V[i+1] = V_reset\n",
    "\n",
    "    return v.Signal(V, dt)\n",
    "\n",
    "V_LIF = sim_LIF(I);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e074d5c",
   "metadata": {},
   "source": [
    "## Izhikevich"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "ebc3a345",
   "metadata": {},
   "outputs": [],
   "source": [
    "k = 0.7 * (nS/mV)\n",
    "b = -2 * nS\n",
    "V_r = -60 * mV\n",
    "V_t = -40 * mV\n",
    "V_peak = 35 * mV\n",
    "c = -50 * mV\n",
    "a = 0.03 / ms\n",
    "d = 100 * pA\n",
    "\n",
    "def sim_Izh(I):\n",
    "    \n",
    "    N = I.size\n",
    "    V = np.ones(N) * V_r\n",
    "    u = np.zeros(N)\n",
    "    \n",
    "    for i in range(N-1):\n",
    "        \n",
    "        V[i+1] = V[i] + dt * (k * (V[i] - V_r)*(V[i] - V_t) - u[i] + I[i]) / C\n",
    "        u[i+1] = u[i] + dt * a * (b * (V[i] - V_r) - u[i])\n",
    "        \n",
    "        if V[i+1] > V_peak:\n",
    "            V[i] = V_peak\n",
    "            V[i+1] = c\n",
    "            u[i+1] += d\n",
    "    \n",
    "    return v.Signal(V, dt), v.Signal(u, dt)\n",
    "\n",
    "V_Izh, u = sim_Izh(I);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4dd211fa",
   "metadata": {},
   "source": [
    "Parameters from Izhikevich book: cortical regular spiking neuron.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2db3cb3",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f898df3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x769 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 633,
       "width": 833
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=4, sharex=True, \n",
    "                        **v.figsize(aspect=1.3, width=1000),\n",
    "                        gridspec_kw=dict(height_ratios=[1, 0.6, 0.6, 0.6]))\n",
    "\n",
    "ax_Izh = axs[0]\n",
    "ax_I_Izh = axs[1]\n",
    "ax_LIF = axs[2]\n",
    "ax_I = axs[3]\n",
    "\n",
    "t = np.linspace(0, duration/ms, timesteps, False)\n",
    "ax_LIF.plot(t, V_LIF / mV, c=\"C1\")\n",
    "ax_Izh.plot(t, V_LIF / mV, c=\"C1\", alpha=0.4, label=\"Leaky–integrate\")\n",
    "ax_Izh.plot(t, V_Izh / mV, c=\"C0\", label=\"Izhikevich\")\n",
    "v.add_reordered_legend(ax_Izh, [1,0])\n",
    "ax_I_Izh.plot(t, k * (V_Izh.data - V_r)*(V_Izh.data - V_t) / nA, label=\"$k(V-V_r)(V-V_t)$\", c=\"C2\")\n",
    "ax_I_Izh.plot(t, -u.data / nA, label=\"$u$\", c=\"C0\");\n",
    "v.add_reordered_legend(ax_I_Izh, [1, 0])\n",
    "plot_test_current(ax_I, t, I/nA, ylims, yδ=0.82)\n",
    "ax_I.set_xlabel(\"Time (ms)\")\n",
    "v.ylabel_inside(ax_LIF, \"Leaky–integrate membrane voltage (mV)\")\n",
    "v.ylabel_inside(ax_Izh, \"Membrane voltage $V$ (mV)\")\n",
    "v.ylabel_inside(ax_I_Izh, \"Izhikevich membrane currents (nA)\")\n",
    "v.ylabel_inside(ax_I, \"Input current $I$ (nA)\", ylim_shift=16)\n",
    "ax_LIF.set_xlim(left=0, right=duration/ms);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4efcd2f",
   "metadata": {},
   "source": [
    "## [Reproducibility]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b1f165f5",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "This cell was last run by `lpxtf3` on `DUIP74576`<br>on **Thu 09 Dec** 2021, at 04:11 (UTC+0000)."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "[Last git commit](https://github.com/tfiers/voltage-to-wiring-sim/tree/1119d931cf1ed9ff93d8a6c72ea030f1df584b9f\n",
       ") (Tue 07 Dec 2021, 03:59)."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Uncommited changes to:\n",
       "```\n",
       " M codebase/voltage_to_wiring_sim/__init__.py\n",
       " M codebase/voltage_to_wiring_sim/support/plot_util.py\n",
       "AM codebase/voltage_to_wiring_sim/support/test_current.py\n",
       " M codebase/voltage_to_wiring_sim/support/units.py\n",
       " M notebooks/2021-12-02__LIF_vs_Izh_subthreshold.ipynb\n",
       " M notebooks/2021-12-06__local_HH_dV_shape.ipynb\n",
       "?? notebooks/2021-11-18__constant_input_spikes.ipynb\n",
       "?? notebooks/2021-11-18__prototype_new_sim.ipynb\n",
       "?? notebooks/2021-12-08__Izh_subthreshold_nonlinear.ipynb\n",
       "?? notebooks/2021-12-08__cortical_HH_vs_Izh_dV_shape.ipynb\n",
       "```"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Platform:"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Windows-10\n",
      "CPython 3.9.6 (C:\\miniforge3\\python.exe)\n",
      "Intel(R) Xeon(R) W-2123 CPU @ 3.60GHz\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Dependencies of `voltage_to_wiring_sim` and their installed versions:"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numpy                1.21.1\n",
      "matplotlib           3.4.2\n",
      "numba                0.53.1\n",
      "joblib               1.0.1\n",
      "seaborn              0.11.1\n",
      "scipy                1.7.0\n",
      "preload              2.2\n",
      "nptyping             1.4.2\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Full conda list:"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "```\n",
       "# packages in environment at C:\\miniforge3:\n",
       "#\n",
       "# Name                    Version                   Build  Channel\n",
       "argon2-cffi               20.1.0           py39hb82d6ee_2    conda-forge\n",
       "async_generator           1.10                       py_0    conda-forge\n",
       "attrs                     21.2.0             pyhd8ed1ab_0    conda-forge\n",
       "backcall                  0.2.0              pyh9f0ad1d_0    conda-forge\n",
       "backports                 1.0                        py_2    conda-forge\n",
       "backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge\n",
       "black                     21.9b0             pyhd8ed1ab_1    conda-forge\n",
       "bleach                    3.3.1              pyhd8ed1ab_0    conda-forge\n",
       "brian2                    2.5.0.1          py39h2e07f2f_0    conda-forge\n",
       "brotlipy                  0.7.0           py39hb82d6ee_1001    conda-forge\n",
       "ca-certificates           2021.10.8            h5b45459_0    conda-forge\n",
       "certifi                   2021.10.8        py39hcbf5309_1    conda-forge\n",
       "cffi                      1.14.6           py39h0878f49_0    conda-forge\n",
       "chardet                   4.0.0            py39hcbf5309_1    conda-forge\n",
       "charset-normalizer        2.0.0              pyhd8ed1ab_0    conda-forge\n",
       "click                     7.1.2                    pypi_0    pypi\n",
       "colorama                  0.4.4              pyh9f0ad1d_0    conda-forge\n",
       "colorful                  0.5.4                    pypi_0    pypi\n",
       "conda                     4.11.0           py39hcbf5309_0    conda-forge\n",
       "conda-package-handling    1.7.3            py39hb3671d1_0    conda-forge\n",
       "cryptography              3.4.7            py39hd8d06c1_0    conda-forge\n",
       "cycler                    0.10.0                   pypi_0    pypi\n",
       "cython                    0.29.24          py39h415ef7b_1    conda-forge\n",
       "dataclasses               0.8                pyhc8e2a94_3    conda-forge\n",
       "debugpy                   1.4.1            py39h415ef7b_0    conda-forge\n",
       "decorator                 5.0.9              pyhd8ed1ab_0    conda-forge\n",
       "defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge\n",
       "entrypoints               0.3             pyhd8ed1ab_1003    conda-forge\n",
       "gsl                       2.7                  hdfb1a43_0    conda-forge\n",
       "icu                       68.2                 h0e60522_0    conda-forge\n",
       "idna                      3.1                pyhd3deb0d_0    conda-forge\n",
       "importlib-metadata        4.6.1            py39hcbf5309_0    conda-forge\n",
       "intel-openmp              2021.4.0          h57928b3_3556    conda-forge\n",
       "ipykernel                 6.0.3            py39h832f523_0    conda-forge\n",
       "ipython                   7.25.0           py39h832f523_1    conda-forge\n",
       "ipython_genutils          0.2.0                      py_1    conda-forge\n",
       "ipywidgets                7.6.5              pyhd8ed1ab_0    conda-forge\n",
       "jedi                      0.18.0           py39hcbf5309_2    conda-forge\n",
       "jinja2                    3.0.1              pyhd8ed1ab_0    conda-forge\n",
       "joblib                    1.0.1                    pypi_0    pypi\n",
       "jpeg                      9d                   h8ffe710_0    conda-forge\n",
       "jsonschema                3.2.0              pyhd8ed1ab_3    conda-forge\n",
       "jupyter_client            6.1.12             pyhd8ed1ab_0    conda-forge\n",
       "jupyter_contrib_core      0.3.3                      py_2    conda-forge\n",
       "jupyter_contrib_nbextensions 0.5.1              pyhd8ed1ab_2    conda-forge\n",
       "jupyter_core              4.7.1            py39hcbf5309_0    conda-forge\n",
       "jupyter_highlight_selected_word 0.2.0           py39hcbf5309_1002    conda-forge\n",
       "jupyter_latex_envs        1.4.6           pyhd8ed1ab_1002    conda-forge\n",
       "jupyter_nbextensions_configurator 0.4.1            py39hcbf5309_2    conda-forge\n",
       "jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge\n",
       "jupyterlab_widgets        1.0.2              pyhd8ed1ab_0    conda-forge\n",
       "kiwisolver                1.3.1                    pypi_0    pypi\n",
       "libblas                   3.9.0              12_win64_mkl    conda-forge\n",
       "libcblas                  3.9.0              12_win64_mkl    conda-forge\n",
       "libclang                  11.1.0          default_h5c34c98_1    conda-forge\n",
       "libiconv                  1.16                 he774522_0    conda-forge\n",
       "liblapack                 3.9.0              12_win64_mkl    conda-forge\n",
       "libpng                    1.6.37               h1d00b33_2    conda-forge\n",
       "libsodium                 1.0.18               h8d14728_1    conda-forge\n",
       "libxml2                   2.9.12               hf5bbc77_0    conda-forge\n",
       "libxslt                   1.1.33               h65864e5_2    conda-forge\n",
       "libzlib                   1.2.11            h8ffe710_1013    conda-forge\n",
       "llvmlite                  0.36.0                   pypi_0    pypi\n",
       "lxml                      4.6.3            py39h4fd7cdf_0    conda-forge\n",
       "m2w64-gcc-libgfortran     5.3.0                         6    conda-forge\n",
       "m2w64-gcc-libs            5.3.0                         7    conda-forge\n",
       "m2w64-gcc-libs-core       5.3.0                         7    conda-forge\n",
       "m2w64-gmp                 6.1.0                         2    conda-forge\n",
       "m2w64-libwinpthread-git   5.0.0.4634.697f757               2    conda-forge\n",
       "markupsafe                2.0.1            py39hb82d6ee_0    conda-forge\n",
       "matplotlib                3.4.2                    pypi_0    pypi\n",
       "matplotlib-inline         0.1.2              pyhd8ed1ab_2    conda-forge\n",
       "matplotlib-label-lines    0.4.3                    pypi_0    pypi\n",
       "menuinst                  1.4.17           py39hcbf5309_1    conda-forge\n",
       "miniforge_console_shortcut 2.0                  h57928b3_0    conda-forge\n",
       "mistune                   0.8.4           py39hb82d6ee_1004    conda-forge\n",
       "mkl                       2021.4.0           h0e2418a_729    conda-forge\n",
       "more-itertools            8.12.0                   pypi_0    pypi\n",
       "mpmath                    1.2.1              pyhd8ed1ab_0    conda-forge\n",
       "msys2-conda-epoch         20160418                      1    conda-forge\n",
       "mypy_extensions           0.4.3            py39hcbf5309_4    conda-forge\n",
       "nbclient                  0.5.3              pyhd8ed1ab_0    conda-forge\n",
       "nbconvert                 6.1.0            py39hcbf5309_0    conda-forge\n",
       "nbformat                  5.1.3              pyhd8ed1ab_0    conda-forge\n",
       "nest-asyncio              1.5.1              pyhd8ed1ab_0    conda-forge\n",
       "notebook                  6.4.0              pyha770c72_0    conda-forge\n",
       "nptyping                  1.4.2                    pypi_0    pypi\n",
       "numba                     0.53.1                   pypi_0    pypi\n",
       "numpy                     1.21.1                   pypi_0    pypi\n",
       "openssl                   1.1.1l               h8ffe710_0    conda-forge\n",
       "packaging                 21.0               pyhd8ed1ab_0    conda-forge\n",
       "pandas                    1.3.1                    pypi_0    pypi\n",
       "pandoc                    2.14.1               h8ffe710_0    conda-forge\n",
       "pandocfilters             1.4.2                      py_1    conda-forge\n",
       "parso                     0.8.2              pyhd8ed1ab_0    conda-forge\n",
       "pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge\n",
       "pickleshare               0.7.5                   py_1003    conda-forge\n",
       "pillow                    8.3.1                    pypi_0    pypi\n",
       "pip                       21.2.1             pyhd8ed1ab_0    conda-forge\n",
       "platformdirs              2.3.0              pyhd8ed1ab_0    conda-forge\n",
       "preload                   2.2                      pypi_0    pypi\n",
       "prettyprinter             0.18.0                   pypi_0    pypi\n",
       "prometheus_client         0.11.0             pyhd8ed1ab_0    conda-forge\n",
       "prompt-toolkit            3.0.19             pyha770c72_0    conda-forge\n",
       "py-cpuinfo                8.0.0              pyhd8ed1ab_0    conda-forge\n",
       "pycosat                   0.6.3           py39hb82d6ee_1006    conda-forge\n",
       "pycparser                 2.20               pyh9f0ad1d_2    conda-forge\n",
       "pygments                  2.9.0              pyhd8ed1ab_0    conda-forge\n",
       "pympler                   0.9                      pypi_0    pypi\n",
       "pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge\n",
       "pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge\n",
       "pyqt                      5.12.3           py39hcbf5309_7    conda-forge\n",
       "pyqt-impl                 5.12.3           py39h415ef7b_7    conda-forge\n",
       "pyqt5-sip                 4.19.18          py39h415ef7b_7    conda-forge\n",
       "pyqtchart                 5.12             py39h415ef7b_7    conda-forge\n",
       "pyqtwebengine             5.12.1           py39h415ef7b_7    conda-forge\n",
       "pyrsistent                0.17.3           py39hb82d6ee_2    conda-forge\n",
       "pysocks                   1.7.1            py39hcbf5309_3    conda-forge\n",
       "python                    3.9.6           h7840368_1_cpython    conda-forge\n",
       "python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge\n",
       "python_abi                3.9                      2_cp39    conda-forge\n",
       "pytz                      2021.1                   pypi_0    pypi\n",
       "pywin32                   300              py39hb82d6ee_0    conda-forge\n",
       "pywinpty                  1.1.3            py39h99910a6_0    conda-forge\n",
       "pyyaml                    6.0              py39hb82d6ee_0    conda-forge\n",
       "pyzmq                     22.1.0           py39he46f08e_0    conda-forge\n",
       "qt                        5.12.9               h5909a2a_4    conda-forge\n",
       "regex                     2021.10.23       py39hb82d6ee_1    conda-forge\n",
       "requests                  2.26.0             pyhd8ed1ab_0    conda-forge\n",
       "ruamel_yaml               0.15.80         py39hb82d6ee_1004    conda-forge\n",
       "scipy                     1.7.0                    pypi_0    pypi\n",
       "seaborn                   0.11.1                   pypi_0    pypi\n",
       "send2trash                1.7.1              pyhd8ed1ab_0    conda-forge\n",
       "setuptools                49.6.0           py39hcbf5309_3    conda-forge\n",
       "six                       1.16.0             pyh6c4a22f_0    conda-forge\n",
       "sqlite                    3.36.0               h8ffe710_0    conda-forge\n",
       "sympy                     1.9              py39hcbf5309_1    conda-forge\n",
       "tbb                       2021.4.0             h2d74725_1    conda-forge\n",
       "terminado                 0.10.1           py39hcbf5309_0    conda-forge\n",
       "testpath                  0.5.0              pyhd8ed1ab_0    conda-forge\n",
       "tomli                     1.2.2              pyhd8ed1ab_0    conda-forge\n",
       "tornado                   6.1              py39hb82d6ee_1    conda-forge\n",
       "tqdm                      4.61.2             pyhd8ed1ab_1    conda-forge\n",
       "traitlets                 5.0.5                      py_0    conda-forge\n",
       "typed-ast                 1.4.3            py39hb82d6ee_1    conda-forge\n",
       "typing_extensions         3.10.0.2           pyha770c72_0    conda-forge\n",
       "typish                    1.9.2                    pypi_0    pypi\n",
       "tzdata                    2021a                he74cb21_1    conda-forge\n",
       "ucrt                      10.0.20348.0         h57928b3_0    conda-forge\n",
       "urllib3                   1.26.6             pyhd8ed1ab_0    conda-forge\n",
       "vc                        14.2                 hb210afc_5    conda-forge\n",
       "voltage-to-wiring-sim     0.1                       dev_0    <develop>\n",
       "vs2015_runtime            14.29.30037          h902a5da_5    conda-forge\n",
       "wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge\n",
       "webencodings              0.5.1                      py_1    conda-forge\n",
       "wheel                     0.36.2             pyhd3deb0d_0    conda-forge\n",
       "widgetsnbextension        3.5.2            py39hcbf5309_1    conda-forge\n",
       "win_inet_pton             1.1.0            py39hcbf5309_2    conda-forge\n",
       "wincertstore              0.2             py39hcbf5309_1006    conda-forge\n",
       "winpty                    0.4.3                         4    conda-forge\n",
       "winshell                  0.6                      pypi_0    pypi\n",
       "yaml                      0.2.5                he774522_0    conda-forge\n",
       "zeromq                    4.3.4                h0e60522_0    conda-forge\n",
       "zipp                      3.5.0              pyhd8ed1ab_0    conda-forge\n",
       "zlib                      1.2.11            h8ffe710_1013    conda-forge\n",
       "```"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "v.print_reproducibility_info(verbose=True) "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}