Single Neuron Models
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!
S2 – What Makes a Neuron Spike
Explore the ion channels that make a cell spike
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.
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.
S5 – Central Pattern Generators (CPG)
How do tetrapods decide when to walk, trot or gallop? Explore central pattern generators in this tutorial.
S6 – Short-Term Memory and Winner-Take-All
Explore two network types for memory.
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.
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.
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.