2021
DOI: 10.48550/arxiv.2111.02922
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Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

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“…For example, the intrinsic manifold can be produced by RNNs trained on fMRI data (Koppe et al, 2019) and/or task-related behavioral data (Z. Cohen et al, 2020; Kramer et al, 2022), from which the Gramian connectivity matrices can then be recovered. The same may also be possible by training generic RNNs on behavioral data associated with large batteries of cognitive tasks (Jaffe et al, 2023).…”
mentioning
confidence: 99%
“…For example, the intrinsic manifold can be produced by RNNs trained on fMRI data (Koppe et al, 2019) and/or task-related behavioral data (Z. Cohen et al, 2020; Kramer et al, 2022), from which the Gramian connectivity matrices can then be recovered. The same may also be possible by training generic RNNs on behavioral data associated with large batteries of cognitive tasks (Jaffe et al, 2023).…”
mentioning
confidence: 99%