Human Neocortical Neurosolver

Preface

+ 1. Getting Started

1.1 Introducing HNN 1.2 Template Model 1.3 Installation

+ 2. Model Assumptions

2.1 Cortical Column Structure 2.2 Primary Electrical Currents 2.3 Neurons: Morphology and Physiology 2.4 Synaptic Connectivity 2.5 Evoked and Rhythmic Driving Inputs 2.6 Tonic and Noisy Driving Inputs

+ 3. Using the HNN GUI

3.1 GUI Quickstart 3.2 Optimization in the GUI

+ 4. Simulating ERPs

4.1 Intro and Overview Lecture 4.2 Following Along 4.3 Getting Started 4.4 Simulation Workflow 4.5 Simulate the Default Network 4.6 Simulation Scaling and Smoothing 4.7.1 Multiscale Interpretation Part I 4.7.2 Multiscale Interpretation Part II 4.8 Adjusting Evoked Drives 4.9 Adjusting Network Parameters And Testing Hypotheses 4.10 From Hypotheses to Validation Targets 4.11 Concluding Remarks

+ 5. Simulating Alpha/Beta Rhythms

5.1 GUI Tutorial of Alpha/Beta Rhythms 5.2 API Tutorial of Alpha/Beta Rhythms

+ 6. Simulating Gamma Rhythms

6.1 GUI Tutorial of Gamma Rhythms 6.2 API Tutorial of Gamma Rhythms

+ 7. Using the HNN API

7.1 Plot Firing Pattern 7.2 Record & Plot Extracellular Potentials 7.3 Modifying Local Connectivity 7.4 Animating HNN Simulations 7.5 Batch Simulation 7.6 Simulate Beta-modulated ERP 7.7 Parallelism: Joblib 7.8 Parallelism: MPI 7.9 Optimize simulated evoked response parameters 7.10 Optimize simulated rhythmic response parameters 7.11 Cell Metadata Tutorial

+ 8. From Data to Simulation

8.1 From MEG sensor-space data to HNN simulation

4.9 Adjusting Network Parameters And Testing Hypotheses

API walkthrough coming soon!

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4.8 Adjusting Evoked Drives

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4.10 From Hypotheses to Validation Targets