Deep Learning in Infant Functional Neuroimaging: Challenges, Advances, and Future Directions

arXiv:2609.26688 · q-bio.NC · Submitted 2026-09-22 · Read on arXiv

q-bio.NC

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Transformer — 18× in this paper · explained in 2 episodes
• Representation Learning — 14× in this paper · explained in 2 episodes
• Interpretability — 11× in this paper · explained in 15 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Embeddings — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• External Validation — 3× in this paper · explained in 2 episodes
• Fingerprinting — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• International Symposium on Biomedical Imaging — 3× in this paper
• Latent Representation — 3× in this paper · explained in 2 episodes
• Latent Representations — 3× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• GNNs — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• 1D CNN — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hierarchical Framework — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• fNIRS — 1× in this paper · explained in 2 episodes

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