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Single Cell Modeling

S1 - Passive Cell Membrane

Jupyter logoExplore 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!

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S2 - What Makes a Neuron Spike

Jupyter logoExplore the ion channels that make a cell spike.

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S3 - What is Adaptation? Bursting?

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

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S4 - Synapses

Jupyter logoThe 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.

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S5 - Central Pattern Generators (CPG)

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

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S6 - Short-term Memory and Winner-take-all

Jupyter logoExplore two networks types for memory.

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S2-S6 Hoc Models

Brain Diagram

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

Synaptic Plasticity

Brain Diagram

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

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NMODL Language Reference

Brain Diagram

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

Brain Diagram

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

Using BMTools

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