WhoBPyT
0.0.0
About WhoBPyT
Overview
Code Architecture
Simplified Usage Pseudo Code
Whole Brain Models:
Objective Function Components:
Parameter Fitting Paradigms:
Package Expansions
Background Information
Neuroimaging Data
System, Model, and Biophysical Parameters
RWWExcInb
Jansen-Rit
Getting Started
Installation
Running whobpyt in google colab
Running whobpyt in GitHub Codespaces
API
Models
Optimization
Run
Visualization
Data Types
Examples
Fitting S_E Mean to 0.164 using default RWW Parameters
Importage
Defining Model Parameters
Using the Synthetic Cube Data For Demo Purposes
Defining the CNMM Model
Defining the Objective Function
Training The Model
Model Simulation
CNMM Validation Model
Fitting Wong_Wang model (HCP data)
Importage
Model Training
Model Evaluation (with 20 window for warmup)
Fitting JR model (Tepit data)
Importage
Model Training
Model Evaluation (with 20 window for warmup)
Evaluating CPU vs. GPU Performance
Importage
Defining the Data and Parameters
Training a CNMM Model - Fixed PSD with Batched Paradigm
Training a CNMM Model - Multimodal Objective with FNG-FPG Paradigm
CNMM Verification Model
WhoBPyT
»
Welcome to WhoBPyT documentation!
Welcome to WhoBPyT documentation!
ΒΆ
About WhoBPyT
Overview
Code Architecture
Background Information
Getting Started
Installation
Running whobpyt in google colab
Running whobpyt in GitHub Codespaces
API
Models
Optimization
Run
Visualization
Data Types
Examples
Fitting S_E Mean to 0.164 using default RWW Parameters
Fitting Wong_Wang model (HCP data)
Fitting JR model (Tepit data)
Evaluating CPU vs. GPU Performance