Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -97,4 +97,46 @@
97	97	**Level**: advanced(%%) **Type**: user documentation
98	98
99	99	In this part of the tutorial we will show you how to give NetStim its own random number generator.
	100	+=== [[Segmentation intro: 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"]] ===
100	100
	102	+**Level**: advanced(%%) **Type**: user documentation
	103	+
	104	+How to deal with simulations that generate a lot of data that must be saved? We will showcase different approaches.
	105	+=== [[Using the Channel Builder – Creating a channel from an HH-style specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/hhstyle/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	106	+
	107	+**Level**: advanced(%%) **Type**: interactive tutorial
	108	+
	109	+Our goal is to implement a new voltage-gated macroscopic current whose properties are described by HH-style equations.
	110	+=== [[Using the Channel Builder – Creating a channel from a kinetic scheme specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/kinetic/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	111	+
	112	+**Level**: advanced(%%) **Type**: interactive tutorial
	113	+
	114	+Here we will implement a new voltage-gated macroscopic current whose properties are described by a family of chemical reactions.
	115	+=== [[Randomness in NEURON models– Source code that demonstrates the solution>>https://neuron.yale.edu/neuron/docs/source-code-demonstrates-solution||rel=" noopener noreferrer" target="_blank"]] ===
	116	+
	117	+**Level**: advanced(%%) **Type**: user documentation
	118	+
	119	+=== [[Using the Network Builder – Introduction to Network Construction>>https://neuron.yale.edu/neuron/static/docs/netbuild/intro.html||rel=" noopener noreferrer" target="_blank"]] ===
	120	+
	121	+**Level**: advanced(%%) **Type**: user documentation
	122	+
	123	+=== [[Python introduction>>https://neuron.yale.edu/neuron/docs/python-introduction||rel=" noopener noreferrer" target="_blank"]] ===
	124	+
	125	+**Level**: advanced(%%) **Type**: user documentation
	126	+
	127	+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.
	128	+=== [[Reaction-Diffusion Example – RxD with MOD files>>https://neuron.yale.edu/neuron/docs/rxd-mod-files||rel=" noopener noreferrer" target="_blank"]] ===
	129	+
	130	+**Level**: advanced(%%) **Type**: user documentation
	131	+
	132	+NEURON's reaction-diffusion infrastructure can be used to readily allow intracellular concentrations to respond to currents generated in MOD files. This example shows you a simple model with just a single point soma, of length and diameter 10 microns, with Hodgkin-Huxley kinetics, and dynamic sodium (declared using rxd but without any additional kinetics).
	133	+=== [[Segmenting a simulation of a model network - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-network||rel=" noopener noreferrer" target="_blank"]] ===
	134	+
	135	+**Level**: advanced(%%) **Type**: user documentation
	136	+
	137	+=== [[Using the Network Builder – Tutorial 1: Making Networks of Artificial Neurons>>https://neuron.yale.edu/neuron/static/docs/netbuild/artnet/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	138	+
	139	+**Level**: advanced(%%) **Type**: interactive tutorial
	140	+
	141	+Learn how to Artificial Integrate and Fire cell with a synapse that is driven by an afferent burst of spikes.
	142	+