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. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: Neuroinformatics. 2022 Mar 10;20(3):777–791. doi: 10.1007/s12021-022-09563-w

Figure 1.

Figure 1.

(a) A step-by-step description of the whole analysis. (b) An architecture in the search space that TPE optimizes over, defined by the vector {xi}i=128, with xi ∈ {0, 1, 2} representing the number of fully connected hidden layers on top of the input node corresponding to data from the i-th subdomain interaction (SDI). Data for each SDI is a sub-matrix of the full static functional connectivity matrix with connections from participating subdomain(s). (c) TPE search space traversal on a toy example with a quadratic cost function (x − 1)2 to narrow down the search closer to the optimal value.