References
1. Greicius, Michael D., et al. "Functional connectivity in the resting brain: a network analysis of the default mode hypothesis." Proceedings of the national academy of sciences 100.1 (2003): 253-258.
2. Raichle, Marcus E., et al. "A default mode of brain function." Proceedings of the national academy of sciences 98.2 (2001): 676-682.
3. Biswal, Bharat, et al. "Functional connectivity in the motor cortex of resting human brain using echo‐planar MRI." Magnetic resonance in medicine 34.4 (1995): 537-541.
4. Peltier, Scott J., and Yash Shah. "Biophysical modulations of functional connectivity." Brain connectivity 1.4 (2011): 267-277.
5. Lake, Evelyn MR, et al. "The functional brain organization of an individual allows prediction of measures of social abilities transdiagnostically in autism and attention-deficit/hyperactivity disorder." Biological psychiatry 86.4 (2019): 315-326.
6. Rosenberg, Monica D., et al. "A neuromarker of sustained attention from whole-brain functional connectivity." Nature neuroscience 19.1 (2016): 165-171.
7. Nasreddine, Ziad S., et al. "The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment." Journal of the American Geriatrics Society 53.4 (2005): 695-699.
8. Lin, Qi, et al. "Resting-state functional connectivity predicts cognitive impairment related to Alzheimer's disease." Frontiers in aging neuroscience 10 (2018): 94.
9. Karker, Michelle, et al. "Brain-behavior prediction using functional connectivity from older adults with mild cognitive impairment."
10. Liu, Chaomeng, et al. "Individualized prediction of cognitive test scores from functional brain connectome in patients with first-episode late-life depression." Journal of Affective Disorders 352 (2024): 32-42.
11. Esteban, Oscar, et al. "fMRIPrep: a robust preprocessing pipeline for functional MRI." Nature methods 16.1 (2019): 111-116.
12. Whitfield-Gabrieli, Susan, and Alfonso Nieto-Castanon. "Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks." Brain connectivity 2.3 (2012): 125-141.
13. Power, Jonathan D., et al. "Functional network organization of the human brain." Neuron 72.4 (2011): 665-678.
14. Weintraub, Sandra, et al. "Version 3 of the Alzheimer Disease Centers’ neuropsychological test battery in the Uniform Data Set (UDS)." Alzheimer Disease & Associated Disorders 32.1 (2018): 10-17.
15. Craft, Suzanne, et al. "Memory improvement following induced hyperinsulinemia in Alzheimer's disease." Neurobiology of aging 17.1 (1996): 123-130.
16. Ivanova, Iva, David P. Salmon, and Tamar H. Gollan. "The multilingual naming test in Alzheimer's disease: clues to the origin of naming impairments." Journal of the International neuropsychological Society 19.3 (2013): 272-283.
17. Gu, Albert, and Tri Dao. "Mamba: Linear-time sequence modeling with selective state spaces." First Conference on Language Modeling. 2024.
18. Graves, Alex, Santiago Fernández, and Jürgen Schmidhuber. "Bidirectional LSTM networks for improved phoneme classification and recognition." International conference on artificial neural networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.
19. Ye, Tianzhu, et al. "Differential transformer." arXiv preprint arXiv:2410.05258 (2024).
20. Schneider, Nadav, Itamar Zimerman, and Eliya Nachmani. "Differential mamba." arXiv preprint arXiv:2507.06204 (2025).
21. Masters, Dominic, and Carlo Luschi. "Revisiting small batch training for deep neural networks." arXiv preprint arXiv:1804.07612 (2018).
22. Keskar, Nitish Shirish, et al. "On large-batch training for deep learning: Generalization gap and sharp minima." arXiv preprint arXiv:1609.04836 (2016).
23. Ranstam, Jonas, and Jonathan A. Cook. "LASSO regression." Journal of British Surgery 105.10 (2018): 1348-1348.
24. Hyvärinen, Aapo, and Erkki Oja. "Independent component analysis: algorithms and applications." Neural networks 13.4-5 (2000): 411-430.
25. Calhoun, Vince D., Jingyu Liu, and Tülay Adalı. "A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data." Neuroimage 45.1 (2009): S163-S172.
26. Smola, Alex J., and Bernhard Schölkopf. "A tutorial on support vector regression." Statistics and computing 14.3 (2004): 199-222.
27. Liu, Yong, et al. "itransformer: Inverted transformers are effective for time series forecasting." arXiv preprint arXiv:2310.06625 (2023).
28. Altmann, André, et al. "Permutation importance: a corrected feature importance measure." Bioinformatics 26.10 (2010): 1340-1347.
29. Simonyan, Karen, Andrea Vedaldi, and Andrew Zisserman. "Deep inside convolutional networks: Visualising image classification models and saliency maps." arXiv preprint arXiv:1312.6034 (2013).
30. Rentz, Dorene M., et al. "Face-name associative memory performance is related to amyloid burden in normal elderly." Neuropsychologia 49.9 (2011): 2776-2783.
31. Greene, Abigail S., et al. "Task-induced brain state manipulation improves prediction of individual traits." Nature communications 9.1 (2018): 2807.