Summary
Develop publicly available computational models, tools, and resources to test mechanistic hypotheses about the role of different neuronal types in neural circuit function, analyze neural data, and identify potential biomarkers of cortical function in the human brain.
What they want
The project involves building rigorous computational models of individual human neocortical neurons, linking transcription, morphology, and physiology. These neurons will then be connected into cortical circuits to emulate their activity and simulate associated neurophysiological signals. All models will be guided by and compared to existing state-of-the-art measurements. As a proof-of-principle, a human cortical circuit model will be used to study the impact of the hyperpolarization-activated non-specific cation current (Ih) carried by h-channels, specifically within human pyramidal FREM3 neurons, to test hypotheses about its effect on circuit processing and neurophysiological signals.
Deliverables
- publicly available computational models
- tools for neural data analysis
- resources for identifying potential biomarkers of cortical function
Technical requirements
- computational models of individual human neocortical neurons
- integration of gene expression patterns, morphologies, and electrophysiology characteristics
- simulation of neurophysiological signals from cortical circuits
- instantiation of specific perturbations in Ih conductance within circuit models
