Key Functions

The Net2Brain toolbox encompasses several key functions to support comprehensive neural research:

1. Model Taxonomy

2. Loading built-in datasets

3. Feature Extraction

4. Representational Dissimilarity Matrices (RDMs)

5. Evaluation and Plotting

Each of these key functions is crucial for conducting advanced neural research and provides users with powerful tools for analysis and visualization. Detailed information on each function can be found on the respective subpages listed below.

• Exploring the Toolbox - Model Taxonomy
  • Viewing All Models and Architectures
  • Finding a Specific Model
  • Utilizing the Model Taxonomy
  • Searching Models by Attributes
  • Custom Searches
• Loading Datasets
• Loading Datasets
• Feature Extraction
  • Initializing the FeatureExtractor
  • Extracting Features
  • Inspecting and Modifying Layers to Extract
  • Adding dimensionality reduction
  • Extracting Features from Large Language Models
  • Using FeatureExtractor with a Custom DNN
  • Custom Functions Example
• Creating Representational Dissimilarity Matrices (RDMs)
  • Generating RDMs from Deep Neural Network Features
  • Constructing RDMs from EEG Data
• Evaluation
  • Representational Similarity Analysis (RSA)
  • Visualizing RSA Results
  • Weighted RSA
  • Searchlight RSA
  • Linear Encoding Models:
  • Variance Partitioning Analysis (VPA)
  • Centered Kernel Alignment (CKA)
  • Distributional Comparison (DC)
  • Stacked Encoding
  • Stacked Variance Partitioning