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
Recurrent Neural Network (RNN)
الشبكة العصبية التكرارية
An architecture specialized for time-series analysis, often used for dynamic decoding of time-varying neural signals.
Regularization
التنظيم (أو التقييد لمنع فرط التعلّم)
Techniques aimed at preventing overfitting and ensuring model generalization in BCIs.
Reinforcement Learning (RL)
التعلّم بالتعزيز
Reward-based training where a model learns to optimize performance based on feedback and neural responses.