Single Neuron Models - Mizzou Engineering

S1 – Passive Cell Membrane

Explore the properties of the cell membrane and the mechanisms of the action potential. We’ll introduce you how to simulate a cell in the NEURON + Python environment. If this is your first time coding, don’t worry!

Download Zip | Launch in NeuroLab

S2 – What Makes a Neuron Spike

Explore the ion channels that make a cell spike

Download Zip | Launch in NeuroLab

S3 – What is Adaptation? Bursting?

Learn the basics of cell adaptation and bursting by utilizing new ion channels. Modifying their conductances and determine their effects.

Download Zip | Launch in NeuroLab

S4 – Synapses

The simulation explores the effects of temporal summation for multiple synaptic inputs. The model is a three compartment model with two dendrite compartments and a soma.

Download Zip | Launch in NeuroLab

S5 – Central Pattern Generators (CPG)

How do tetrapods decide when to walk, trot or gallop? Explore central pattern generators in this tutorial.

Download Zip | Launch in NeuroLab

S6 – Short-Term Memory and Winner-Take-All

Explore two network types for memory.

Download Zip | Launch in NeuroLab

S2-S6 Hoc Models

Explore the software tutorials above using NEURON’s native HOC code. Download the zip file, compile (nrnivmodl or mknrndll) and run the experiment.

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Synaptic Plasticity

Explore the phenomenon in which synaptic efficacy changes over time in response to previous synaptic occurrences.

Read More | Download Zip | Notebook Viewer | View on Binder | Launch in NeuroLab

NMODL Language Reference

Learn how to more effectively understand and write NMODL (.mod) files used by the NEURON simulator. NMODL employs a syntax that closely resembles familiar mathematical and chemical notation.

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Modeling a Single Cell Using a Novel Segregation Method

Discover a novel way of tuning cells. By segregating v1/2 activation, tuning can be simplified.

Using BMTools | View on ModelDB