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Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations., , , , and . NeuroImage, (September 2023)Reverse Engineering the Brain with a Circuit Diagram Based on a Segmented Connectome and System Dynamics., , and . AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, volume FS-08-04 of AAAI Technical Report, page 169-173. AAAI, (2008)Deep Graph Similarity Learning for Brain Data Analysis., , , , , , and . CIKM, page 2743-2751. ACM, (2019)Efficient identification for modeling high-dimensional brain dynamics., , , and . ACC, page 1353-1358. IEEE, (2022)Mapping the human brain's cortical-subcortical functional network organization., , , , , and . NeuroImage, (2019)Neural mechanisms for response selection: comparing selection of responses and items from working memory., , , and . NeuroImage, 34 (1): 446-454 (2007)Compositional generalization through abstract representations in human and artificial neural networks., , , , , and . NeurIPS, (2022)Exploring brain-behavior relationships in the N-back task., , , and . NeuroImage, (2020)Empirical validation of directed functional connectivity., , , , and . NeuroImage, (2017)Predicting dysfunctional age-related task activations from resting-state network alterations., , , and . NeuroImage, (2020)