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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "# Example 2: Extracellular response of synaptic input\n",
    "This is an example of **``LFPy``** running in an **``IPython notebook``**. To run through this example code and produce output, press **``<shift-Enter>``** in each code block below.\n",
    "\n",
    "First step is to **import ``LFPy``** and other packages for analysis and plotting:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import LFPy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create some dictionarys with parameters for cell, synapse and extracellular electrode:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cellParameters = {\n",
    "    'morphology' : 'morphologies/L5_Mainen96_LFPy.hoc',\n",
    "    'tstart' : -50,\n",
    "    'tstop' : 100,\n",
    "    'dt' : 2**-4,\n",
    "    'passive' : True,\n",
    "}\n",
    "\n",
    "synapseParameters = {\n",
    "    'syntype' : 'Exp2Syn',\n",
    "    'e' : 0.,\n",
    "    'tau1' : 0.5,\n",
    "    'tau2' : 2.0,\n",
    "    'weight' : 0.005,\n",
    "    'record_current' : True,\n",
    "}\n",
    "\n",
    "z = mgrid[-400:1201:100]\n",
    "electrodeParameters = {\n",
    "    'x' : zeros(z.size),\n",
    "    'y' : zeros(z.size),\n",
    "    'z' : z,\n",
    "    'sigma' : 0.3,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, create the **cell**, **synapse** and **electrode** objects using \n",
    "**LFPy.Cell**, **LFPy.Synapse**, **LFPy.RecExtElectrode**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cell = LFPy.Cell(**cellParameters)\n",
    "cell.set_pos(x=-10, y=0, z=0)\n",
    "cell.set_rotation(z=np.pi)\n",
    "\n",
    "synapse = LFPy.Synapse(cell,\n",
    "                       idx = cell.get_closest_idx(z=800),\n",
    "                       **synapseParameters)\n",
    "synapse.set_spike_times(array([10, 30, 50]))\n",
    "                        \n",
    "electrode = LFPy.RecExtElectrode(**electrodeParameters)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the simulation with **electrode** as input to **cell.simulate()**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "cell.simulate(electrode = electrode)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then plot the **somatic potential** and the **LFP**\n",
    "from electrode object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-500, 500, -400, 1200]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(12, 6))\n",
    "subplot(133)\n",
    "pcolormesh(cell.tvec, electrode.z, electrode.LFP,\n",
    "           vmin=-abs(electrode.LFP).max(), vmax=abs(electrode.LFP).max())\n",
    "colorbar()\n",
    "title('LFP (mV)')\n",
    "\n",
    "subplot(232)\n",
    "plot(cell.tvec, synapse.i, 'r'), title('synaptic current (pA)')\n",
    "\n",
    "subplot(235)\n",
    "plot(cell.tvec, cell.somav, 'k'), title('somatic voltage (mV)')\n",
    "\n",
    "subplot(131)\n",
    "for sec in LFPy.cell.neuron.h.allsec():\n",
    "    idx = cell.get_idx(sec.name())\n",
    "    plot(np.r_[cell.xstart[idx], cell.xend[idx][-1]],\n",
    "            np.r_[cell.zstart[idx], cell.zend[idx][-1]],\n",
    "            color='k')\n",
    "plot([cell.synapses[0].x], [cell.synapses[0].z], \n",
    "     color='r', marker='o', markersize=10)\n",
    "plot(electrode.x, electrode.z, '.', marker='o', color='g')\n",
    "axis([-500, 500, -400, 1200])\n",
    "\n",
    "#savefig('LFPy-example-2.pdf', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}