Available tutorials:

Construction and Use of Models: Part 1. Elementary tools

Level: beginner

A good beginner's tutorial. Introduces some of NEURON's basic GUI tools.

The hoc programming language

Level: beginner

1. Implement and test the computational model itself

Level: advanced

2. Run a "complete" simulation and save its results

Level: advanced

3. Run a segmented simulation and save its results

Level: advanced

3D/Hybrid Intracellular Tutorial

Level: advanced

4. Reconstitute and verify the "complete" simulation results

Level: advanced

A NEURON Programming Tutorial - Part A

Level: advanced

A NEURON Programming Tutorial - Part B

Level: advanced

A NEURON Programming Tutorial - part C

Level: advanced

A NEURON Programming Tutorial - Part E

Level: advanced

Ball and Stick model part 1

Level: advanced

Ball and Stick model part 2

Level: advanced

Ball and Stick model part 3

Level: advanced

Ball and Stick model part 4

Level: advanced

Creating a channel from a kinetic scheme specification

Level: advanced

Here we will implement a new voltage-gated macroscopic current whose properties are described by a family of chemical reactions.

Creating a channel from an HH-style specification

Level: advanced

Our goal is to implement a new voltage-gated macroscopic current whose properties are described by HH-style equations.

Creating a model of stochastic channel gating

Level: advanced

Given a Channel Builder that implements a deterministic channel specified by a kinetic scheme, we create a new one that implements stochastic gating.

Creating a stylized ("stick figure") model cell

Level: advanced

Our goal is to build an extremely simplified model of a pyramidal cell.

Dealing with simulations that generate a lot of data

Level: advanced

Example: circadian rhythm

Level: advanced

Example: restricting a reaction to part of a region

Level: advanced

Exploring morphometric data and fixing problems

Level: advanced

Extracellular Diffusion

Level: advanced

How to generate independent random spike streams

Level: advanced

Introduction to Network Construction

Level: advanced

Managing a model cell with complex anatomy

Level: advanced

We use the CellBuilder to specify the spatial grid (nseg) and biophysical properties of a model based on detailed morphometric data. 

mGluR example

Level: advanced

ModelView: Compact display of parameters for NEURON models.

Level: advanced

Python introduction

Level: advanced

This page provides a brief introduction to:
Python syntax
Variables
Lists and Dicts
For loops and iterators
Functions
Classes
Importing modules
Writing and reading files with Pickling.

Randomness in NEURON models

Level: advanced

Reaction-Diffusion

Level: advanced

Reaction-Diffusion: Calcium Wave

Level: advanced

Reaction-Diffusion: Thresholds

Level: advanced

Reaction-Diffusion: varying initial concentrations and parameters

Level: advanced

Reading a morphometric data file and converting it to a NEURON model

Level: advanced

RxD with MOD files

Level: advanced

Scripting NEURON basics

Level: advanced

The objectives of this part of the tutorial are to get familiar with basic operations of NEURON using Python. In this worksheet we will:
Create a passive cell membrane in NEURON.
Create a synaptic stimulus onto the neuron.
Modify parameters of the membrane and stimulus.
Visualize results with bokeh

Segmenting a simulation of a model cell

Level: advanced

Segmenting a simulation of a model network

Level: advanced

Source code that demonstrates the solution

Level: advanced

Specifying parameterized variation of biophysical properties

Level: advanced

How to make one or more biophysical properties vary systematically with position in space.

The solution

Level: advanced

Tutorial 1 : Fitting a function to data

Level: advanced

Tutorial 1: Making Networks of Artificial Neurons

Level: advanced

Tutorial 2 : Fitting a model to data

Level: advanced

Tutorial 2: Making Hybrid Nets

Level: advanced

Using Import3D

Level: advanced

Reading a morphometric data file and converting it to a NEURON model
Exploring morphometric data and fixing problems

Using NEURON's Optimization Tools

Level: advanced