neuronline.github.io

Building A Model

Building the Model

Typically, building a model consists of several key primary steps:

1. Develop models of all relevant single cells
2. Network structure - scale if necessary and check if a reduced order model may obscure some phenomenon
3. Connectivity (convergence/divergence) for both chemical and electrical synapses, including spatial considerations
4. Synaptic models for chemical and electrical synapses
5. Neurotransmitter effects
6. Short-term synaptic plasticity
7. Long-term synaptic plasticity

Validating the model

1. Use biological data not seen by the model for validation

Using the model for predictions

1. Work with neuroscientist to determine what predictions they suggest we try

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This page is part of a collection of pages on various topics of computational neuroscience. Please direct questions and suggestions to the author Tyler Banks [website][github] at tyler@tylerbanks.net.