MAC-Net: A Multi-Task Deep Learning Framework for Modeling Cognitive Function From Task-Based fMRI

arXiv:2609.33440 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Comments: 13 pages, 4 figures, 2 supplementary tables. This work has been submitted to the IEEE Transactions on Neural Systems and Rehabilitation Engineering for possible publication

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 7× in this paper · explained in 1 episode
• Integrated Gradients — 7× in this paper
• Transformer — 6× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Late Fusion — 5× in this paper · explained in 2 episodes
• Stop Signal Task — 4× in this paper
• Adolescent Brain Cognitive Development — 3× in this paper
• Explainability — 3× in this paper · explained in 3 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Monetary Incentive Delay — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Representation Learning — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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