AI and Machine Learning
3 terms
All
AI and Machine Learning
Applications
Basic concepts and types
Ethical Governance
Experimental designs and setups
Feedback and stimulations
Modalities
Neuroanatomy
Neurophysiology
Protocols and paradigms
Signal processing and analysis
System components
Feature Learning
تعلّم السمات
Automatic extraction of distinctive patterns from complex neural data.
Feature Selection
اختيار السمات
Choosing the most informative signal features to enhance classifier performance.
Federated Learning
التعلّم الاتحادي (أو الموزّع)
A distributed learning approach that allows collaborative training without sharing raw brain data.