{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "efa13610", "metadata": {}, "outputs": [], "source": [ "## Importing Neuron \n", "\n", "from neuron import h ,gui\n", "h.load_file(\"stdrun.hoc\")\n", "\n", "from Classes_Primary import Hu, Optrode, Sim\n", "cell = Hu()\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "8b0ed1a4", "metadata": {}, "outputs": [], "source": [ "# Soma photostimulation, Fig 1C \n", "# Run this cell --> load \"Primary_Photostim_Soma.ses\" --> init and run\n", "# for focal light --> in \"Classes_primary.py\", uncomment line 577 and comment line 576\n", "\n", "optrode1 = Optrode(h.soma[1]) \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "1e4b017c", "metadata": {}, "outputs": [], "source": [ "# Distal Axon photostimulation, Fig 1C\n", "# Run this cell --> load \"Primary_Photostim_Distal_Axon.ses\" --> init and run\n", "\n", "\n", "optrode1 = Optrode(h.STIN[10]) " ] }, { "cell_type": "code", "execution_count": null, "id": "adc68c1e", "metadata": {}, "outputs": [], "source": [ "# Proximal Axon photostimulation, Fig S4 panel C \n", "# Run this cell --> load \"Primary_Photostim_Proximal_Axon.ses\" --> init and run\n", "# scattered light --> in \"Classes_primary.py\", uncomment line 576 and comment line 577\n", "\n", "optrode1 = Optrode(h.STIN[7]) " ] }, { "cell_type": "code", "execution_count": null, "id": "f5fe54c1", "metadata": {}, "outputs": [], "source": [ "# Fig 3.A, Sample Traces\n", "# Run this cell --> load \"Fig3A.ses\" --> init and run\n", "\n", "\n", "p=0.95\n", "\n", "for i in range(0,17):\n", " h.node[i].gbar_Kv1=h.node[i].gbar_Kv1- (p*h.node[i].gbar_Kv1)\n", " \n", "for i in range(0,33):\n", " h.MYSA[i].gbar_Kv1=h.MYSA[i].gbar_Kv1- (p*h.MYSA[i].gbar_Kv1)\n", " \n", "for i in range(0,33):\n", " h.FLUT[i].gbar_Kv1=h.FLUT[i].gbar_Kv1- (p*h.FLUT[i].gbar_Kv1)\n", " \n", "for i in range(0,17):\n", " h.STIN[i].gbar_Kv1=h.STIN[i].gbar_Kv1- (p*h.STIN[i].gbar_Kv1)\n", " \n", "\n", "\n", "\n", "optrode1 = Optrode(h.STIN[8]) \n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "591c2dd5", "metadata": {}, "outputs": [], "source": [ "#Fig 2F, v \n", "\n", "# Run this cell --> load \"Fig2F.ses\" --> init and run\n", "\n", "\n", "for i in range(0,30):\n", " h.apical_dendrite[i].gbar_na3= h.apical_dendrite[i].gbar_na3-0.6* h.apical_dendrite[i].gbar_na3\n", " \n", "for i in range(0,37):\n", " h.user5[i].gbar_na3=h.user5[i].gbar_na3-0.6*h.user5[i].gbar_na3\n", "\n", "\n", "\n", "\n", "\n", "h.soma[0].gbar_na3=h.soma[0].gbar_na3-0.9*h.soma[0].gbar_na3\n", "h.soma[1].gbar_na3=h.soma[1].gbar_na3-0.9*h.soma[1].gbar_na3 \n", "\n", "\n", "h.hill[0].gbar_na3=h.hill[0].gbar_na3-0.8*h.hill[0].gbar_na3\n", "h.user5[0].gbar_na3=h.user5[0].gbar_na3-0.8*h.user5[0].gbar_na3\n", "\n", "\n", "\n", "\n", "\n", "h.ais[0].gbar_nax=h.ais[0].gbar_nax-0.7*h.ais[0].gbar_nax\n", "h.user5[1].gbar_na3=h.user5[1].gbar_na3-0.7*h.user5[1].gbar_na3\n", "h.user5[2].gbar_na3=h.user5[2].gbar_na3-0.7*h.user5[2].gbar_na3\n", "h.user5[3].gbar_na3=h.user5[3].gbar_na3-0.7*h.user5[3].gbar_na3\n", "h.apical_dendrite[26].gbar_na3=h.apical_dendrite[26].gbar_na3-0.7*h.apical_dendrite[26].gbar_na3\n", "h.apical_dendrite[27].gbar_na3=h.apical_dendrite[27].gbar_na3-0.7*h.apical_dendrite[27].gbar_na3\n", "h.apical_dendrite[22].gbar_na3=h.apical_dendrite[22].gbar_na3-0.7*h.apical_dendrite[22].gbar_na3\n", "h.apical_dendrite[29].gbar_na3=h.apical_dendrite[29].gbar_na3-0.7*h.apical_dendrite[29].gbar_na3\n", "h.apical_dendrite[23].gbar_na3=h.apical_dendrite[23].gbar_na3-0.7*h.apical_dendrite[23].gbar_na3\n", "h.apical_dendrite[22].gbar_na3=h.apical_dendrite[22].gbar_na3-0.7*h.apical_dendrite[22].gbar_na3\n", "h.apical_dendrite[30].gbar_na3=h.apical_dendrite[30].gbar_na3-0.7*h.apical_dendrite[30].gbar_na3\n", "\n", "\n", "\n", "\n", "optrode1 = Optrode(h.STIN[8])\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "40697b2f", "metadata": {}, "outputs": [], "source": [ "# Fig2H. 90% block of Na channels in the Axon \n", "# Run this cell --> load \"Fig2H.ses\" --> init and run\n", "\n", "for i in range(0,17):\n", " h.node[i].gbar_nax= h.node[i].gbar_nax-0.9* h.node[i].gbar_nax\n", " h.STIN[i].gbar_nax= h.STIN[i].gbar_nax-0.9* h.STIN[i].gbar_nax\n", "\n", "\n", "for i in range(0,33):\n", " h.MYSA[i].gbar_nax= h.MYSA[i].gbar_nax-0.9* h.MYSA[i].gbar_nax\n", " h.FLUT[i].gbar_nax= h.FLUT[i].gbar_nax-0.9* h.FLUT[i].gbar_nax\n", "\n", " \n", "optrode1 = Optrode(h.STIN[8]) " ] }, { "cell_type": "code", "execution_count": null, "id": "e8bb44ca", "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": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 5 }