AI and Machine Learning
4 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
Data Augmentation
زيادة البيانات (أو توسيع مجموعة البيانات)
Generating synthetic neural samples to balance datasets or improve training stability.
Deep Learning (DL)
التعلّم العميق
Multi-layered neural networks capable of automatically extracting complex spatio-temporal features from EEG or fMRI data.
Deep Neural Decoder
المُفسِّر العصبي العميق (أو المفكِّك العصبي العميق)
Multilayer network mapping complex neural patterns to behavioral outputs.
Dimensionality Reduction
خفض الأبعاد
Simplifying neural data while preserving essential information (e.g., using PCA or t-SNE).