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... ... @@ -1,222 +2,38 @@ 1 -Available tutorials: 2 2 3 -=== [[Construction and Use of Models: Part 1. Elementary tools>>https://neuron.yale.edu/neuron/static/docs/elementarytools/outline.htm||rel=" noopener noreferrer" target="_blank"]] === 4 4 5 - //Level:beginner//3 +* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== ))) 6 6 7 -A good beginner's tutorial. Introduces some of NEURON's basic GUI tools. 8 -=== [[The hoc programming language>>https://neuron.yale.edu/neuron/static/docs/programming/hoc_slides.pdf||rel=" noopener noreferrer" target="_blank"]] === 5 +=== **Beginner** === 9 9 10 -// Level:beginner//7 +=== [[A NEURON Programming Tutorial - part C>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutC.html||rel=" noopener noreferrer" target="_blank"]] === 11 11 12 - === [[1. Implement and test the computationalmodelitself>>https://neuron.yale.edu/neuron/docs/1-implement-and-test-computational-model-itself-0||rel=" noopener noreferrer" target="_blank"]] ===9 +**Level**: beginner(%%) **Type**: user documentation 13 13 14 -//Level: advanced// 15 - 16 -=== [[2. Run a "complete" simulation and save its results>>https://neuron.yale.edu/neuron/docs/2-run-complete-simulation-and-save-its-results||rel=" noopener noreferrer" target="_blank"]] === 17 - 18 -//Level: advanced// 19 - 20 -=== [[3. Run a segmented simulation and save its results>>https://neuron.yale.edu/neuron/docs/3-run-segmented-simulation-and-save-its-results||rel=" noopener noreferrer" target="_blank"]] === 21 - 22 -//Level: advanced// 23 - 24 -=== [[3D/Hybrid Intracellular Tutorial>>https://neuron.yale.edu/neuron/docs/3dhybrid-intracellular-tutorial||rel=" noopener noreferrer" target="_blank"]] === 25 - 26 -//Level: advanced// 27 - 28 -=== [[4. Reconstitute and verify the "complete" simulation results>>https://neuron.yale.edu/neuron/docs/4-reconstitute-and-verify-complete-simulation-results||rel=" noopener noreferrer" target="_blank"]] === 29 - 30 -//Level: advanced// 31 - 11 +After this tutorial, students will be able to replicate neurons using templates and connect these neurons together. 32 32 === [[A NEURON Programming Tutorial - Part A>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutA.html||rel=" noopener noreferrer" target="_blank"]] === 33 33 34 - //Level:advanced//14 +**Level**: beginner(%%) **Type**: user documentation 35 35 16 +After this tutorial, students will be able to know how to create a single compartment neuron model with Hodgkin-Huxley conductances, how to run the simulator and how to display the simulation results 36 36 === [[A NEURON Programming Tutorial - Part B>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutB.html||rel=" noopener noreferrer" target="_blank"]] === 37 37 38 - //Level:advanced//19 +**Level**: beginner(%%) **Type**: user documentation 39 39 40 -=== [[A NEURON Programming Tutorial - part C>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutC.html||rel=" noopener noreferrer" target="_blank"]] === 21 +After this tutorial, students will be able to work with more advanced topics of building multi-compartmental neurons and using different types of graphs to display the results 22 +=== [[A NEURON Programming Tutorial - Part D>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutE.html||rel=" noopener noreferrer" target="_blank"]] === 41 41 42 - //Level:advanced//24 +**Level**: beginner(%%) **Type**: user documentation 43 43 44 -=== [[A NEURON Programming Tutorial - Part E>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutE.html||rel=" noopener noreferrer" target="_blank"]] === 26 +After this tutorial, students will be able to add new membrane mechanisms to the simulator and incorporate them in our neurons. 27 +=== [[Construction and Use of Models: Part 1. Elementary tools>>https://neuron.yale.edu/neuron/static/docs/elementarytools/outline.htm||rel=" noopener noreferrer" target="_blank"]] === 45 45 46 - //Level:advanced//29 +**Level**: beginner(%%) **Type**: user documentation 47 47 48 -=== [[Ball and Stick model part 1>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-1||rel=" noopener noreferrer" target="_blank"]] === 31 +A good beginner's tutorial to get an introduction to some of NEURON's basic GUI tools. 32 +=== [[A NEURON Programming Tutorial - Introduction>>https://web.mit.edu/neuron_v7.4/nrntuthtml/index.html||rel=" noopener noreferrer" target="_blank"]] === 49 49 50 - //Level:advanced//34 +**Level**: beginner(%%) **Type**: user documentation 51 51 52 -=== [[Ball and Stick model part 2>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-2||rel=" noopener noreferrer" target="_blank"]] === 36 +This is a web based tutorial in the NEURON Simulation package. It will hopefully take you step by step, through the process of creating a complex simulation of a small network of neurons. 37 +Starting by creating a single compartment neuron model with Hodgkin-Huxley conductances, how to run the simulator and how to display the simulation results, building multi-compartmental neurons, using different types of graphs to display the results, how to replicate neurons using templates, add new membrane mechanisms to the simulator and incorporate them into our neurons, increasing simulation speed and ways of getting data out of NEURON. 53 53 54 -//Level: advanced// 55 - 56 -=== [[Ball and Stick model part 3>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-3||rel=" noopener noreferrer" target="_blank"]] === 57 - 58 -//Level: advanced// 59 - 60 -=== [[Ball and Stick model part 4>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-4||rel=" noopener noreferrer" target="_blank"]] === 61 - 62 -//Level: advanced// 63 - 64 -=== [[Creating a channel from a kinetic scheme specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/kinetic/outline.html||rel=" noopener noreferrer" target="_blank"]] === 65 - 66 -//Level: advanced// 67 - 68 -Here we will implement a new voltage-gated macroscopic current whose properties are described by a family of chemical reactions. 69 -=== [[Creating a channel from an HH-style specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/hhstyle/outline.html||rel=" noopener noreferrer" target="_blank"]] === 70 - 71 -//Level: advanced// 72 - 73 -Our goal is to implement a new voltage-gated macroscopic current whose properties are described by HH-style equations. 74 -=== [[Creating a model of stochastic channel gating>>https://neuron.yale.edu/neuron/static/docs/chanlbild/stochastic/outline.html||rel=" noopener noreferrer" target="_blank"]] === 75 - 76 -//Level: advanced// 77 - 78 -Given a Channel Builder that implements a deterministic channel specified by a kinetic scheme, we create a new one that implements stochastic gating. 79 -=== [[Creating a stylized ("stick figure") model cell>>https://neuron.yale.edu/neuron/static/docs/cbtut/stylized/outline.html||rel=" noopener noreferrer" target="_blank"]] === 80 - 81 -//Level: advanced// 82 - 83 -Our goal is to build an extremely simplified model of a pyramidal cell. 84 -=== [[Dealing with simulations that generate a lot of data>>https://neuron.yale.edu/neuron/docs/dealing-simulations-generate-lot-data||rel=" noopener noreferrer" target="_blank"]] === 85 - 86 -//Level: advanced// 87 - 88 -=== [[Example: circadian rhythm>>https://neuron.yale.edu/neuron/docs/example-circadian-rhythm||rel=" noopener noreferrer" target="_blank"]] === 89 - 90 -//Level: advanced// 91 - 92 -=== [[Example: restricting a reaction to part of a region>>https://neuron.yale.edu/neuron/docs/example-restricting-reaction-part-region||rel=" noopener noreferrer" target="_blank"]] === 93 - 94 -//Level: advanced// 95 - 96 -=== [[Exploring morphometric data and fixing problems>>https://neuron.yale.edu/neuron/docs/import3d/fix_problems||rel=" noopener noreferrer" target="_blank"]] === 97 - 98 -//Level: advanced// 99 - 100 -=== [[Extracellular Diffusion>>https://neuron.yale.edu/neuron/docs/extracellular-diffusion||rel=" noopener noreferrer" target="_blank"]] === 101 - 102 -//Level: advanced// 103 - 104 -=== [[How to generate independent random spike streams>>https://neuron.yale.edu/neuron/docs/how-generate-independent-random-spike-streams||rel=" noopener noreferrer" target="_blank"]] === 105 - 106 -//Level: advanced// 107 - 108 -=== [[Introduction to Network Construction>>https://neuron.yale.edu/neuron/static/docs/netbuild/intro.html||rel=" noopener noreferrer" target="_blank"]] === 109 - 110 -//Level: advanced// 111 - 112 -=== [[Managing a model cell with complex anatomy>>https://neuron.yale.edu/neuron/static/docs/cbtut/pt3d/outline.html||rel=" noopener noreferrer" target="_blank"]] === 113 - 114 -//Level: advanced// 115 - 116 -We use the CellBuilder to specify the spatial grid (nseg) and biophysical properties of a model based on detailed morphometric data. 117 -=== [[mGluR example>>https://neuron.yale.edu/neuron/docs/mglur-example||rel=" noopener noreferrer" target="_blank"]] === 118 - 119 -//Level: advanced// 120 - 121 -=== [[ModelView: Compact display of parameters for NEURON models.>>https://neuron.yale.edu/neuron/static/papers/mview/modelviewhbp2004.html||rel=" noopener noreferrer" target="_blank"]] === 122 - 123 -//Level: advanced// 124 - 125 -=== [[Python introduction>>https://neuron.yale.edu/neuron/docs/python-introduction||rel=" noopener noreferrer" target="_blank"]] === 126 - 127 -//Level: advanced// 128 - 129 -This page provides a brief introduction to: 130 -Python syntax 131 -Variables 132 -Lists and Dicts 133 -For loops and iterators 134 -Functions 135 -Classes 136 -Importing modules 137 -Writing and reading files with Pickling. 138 -=== [[Randomness in NEURON models>>https://neuron.yale.edu/neuron/docs/randomness-neuron-models||rel=" noopener noreferrer" target="_blank"]] === 139 - 140 -//Level: advanced// 141 - 142 -=== [[Reaction-Diffusion>>https://neuron.yale.edu/neuron/docs/reaction-diffusion||rel=" noopener noreferrer" target="_blank"]] === 143 - 144 -//Level: advanced// 145 - 146 -=== [[Reaction-Diffusion: Calcium Wave>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-calcium-wave||rel=" noopener noreferrer" target="_blank"]] === 147 - 148 -//Level: advanced// 149 - 150 -=== [[Reaction-Diffusion: Thresholds>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-thresholds||rel=" noopener noreferrer" target="_blank"]] === 151 - 152 -//Level: advanced// 153 - 154 -=== [[Reaction-Diffusion: varying initial concentrations and parameters>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-varying-initial-concentrations-and-parameters||rel=" noopener noreferrer" target="_blank"]] === 155 - 156 -//Level: advanced// 157 - 158 -=== [[Reading a morphometric data file and converting it to a NEURON model>>https://neuron.yale.edu/neuron/docs/import3d/read_data||rel=" noopener noreferrer" target="_blank"]] === 159 - 160 -//Level: advanced// 161 - 162 -=== [[RxD with MOD files>>https://neuron.yale.edu/neuron/docs/rxd-mod-files||rel=" noopener noreferrer" target="_blank"]] === 163 - 164 -//Level: advanced// 165 - 166 -=== [[Scripting NEURON basics>>https://neuron.yale.edu/neuron/docs/scripting-neuron-basics||rel=" noopener noreferrer" target="_blank"]] === 167 - 168 -//Level: advanced// 169 - 170 -The objectives of this part of the tutorial are to get familiar with basic operations of NEURON using Python. In this worksheet we will: 171 -Create a passive cell membrane in NEURON. 172 -Create a synaptic stimulus onto the neuron. 173 -Modify parameters of the membrane and stimulus. 174 -Visualize results with bokeh 175 -=== [[Segmenting a simulation of a model cell>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-cell||rel=" noopener noreferrer" target="_blank"]] === 176 - 177 -//Level: advanced// 178 - 179 -=== [[Segmenting a simulation of a model network>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-network||rel=" noopener noreferrer" target="_blank"]] === 180 - 181 -//Level: advanced// 182 - 183 -=== [[Source code that demonstrates the solution>>https://neuron.yale.edu/neuron/docs/source-code-demonstrates-solution||rel=" noopener noreferrer" target="_blank"]] === 184 - 185 -//Level: advanced// 186 - 187 -=== [[Specifying parameterized variation of biophysical properties>>https://neuron.yale.edu/neuron/static/docs/cbtut/parameterized/outline.html||rel=" noopener noreferrer" target="_blank"]] === 188 - 189 -//Level: advanced// 190 - 191 -How to make one or more biophysical properties vary systematically with position in space. 192 -=== [[The solution>>https://neuron.yale.edu/neuron/docs/solution||rel=" noopener noreferrer" target="_blank"]] === 193 - 194 -//Level: advanced// 195 - 196 -=== [[Tutorial 1 : Fitting a function to data>>https://neuron.yale.edu/neuron/static/docs/optimiz/func/outline.html||rel=" noopener noreferrer" target="_blank"]] === 197 - 198 -//Level: advanced// 199 - 200 -=== [[Tutorial 1: Making Networks of Artificial Neurons>>https://neuron.yale.edu/neuron/static/docs/netbuild/artnet/outline.html||rel=" noopener noreferrer" target="_blank"]] === 201 - 202 -//Level: advanced// 203 - 204 -=== [[Tutorial 2 : Fitting a model to data>>https://neuron.yale.edu/neuron/static/docs/optimiz/model/outline.html||rel=" noopener noreferrer" target="_blank"]] === 205 - 206 -//Level: advanced// 207 - 208 -=== [[Tutorial 2: Making Hybrid Nets>>https://neuron.yale.edu/neuron/static/docs/netbuild/hybrid/outline.html||rel=" noopener noreferrer" target="_blank"]] === 209 - 210 -//Level: advanced// 211 - 212 -=== [[Using Import3D>>https://neuron.yale.edu/neuron/docs/import3d||rel=" noopener noreferrer" target="_blank"]] === 213 - 214 -//Level: advanced// 215 - 216 -Reading a morphometric data file and converting it to a NEURON model 217 -Exploring morphometric data and fixing problems 218 -=== [[Using NEURON's Optimization Tools>>https://neuron.yale.edu/neuron/static/docs/optimiz/main.html||rel=" noopener noreferrer" target="_blank"]] === 219 - 220 -//Level: advanced// 221 - 222 -