Takuya Ito
Affiliations: | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
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| Sanchez-Romero R, Ito T, Mill RD, et al. (2023) Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. Neuroimage. 278: 120300 |
| Ito T, Murray JD. (2022) Multitask representations in the human cortex transform along a sensory-to-motor hierarchy. Nature Neuroscience |
| McCormick EM, Arnemann KL, Ito T, et al. (2022) Latent functional connectivity underlying multiple brain states. Network Neuroscience (Cambridge, Mass.). 6: 570-590 |
| Ito T, Yang GR, Laurent P, et al. (2022) Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior. Nature Communications. 13: 673 |
| Schultz DH, Ito T, Cole MW. (2022) Global Connectivity Fingerprints Predict the Domain Generality of Multiple-Demand Regions. Cerebral Cortex (New York, N.Y. : 1991) |
| Cole MW, Ito T, Cocuzza C, et al. (2021) The functional relevance of task-state functional connectivity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Spronk M, Keane BP, Ito T, et al. (2020) A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction. Cerebral Cortex (New York, N.Y. : 1991) |
| Ito T, Brincat SL, Siegel M, et al. (2020) Task-evoked activity quenches neural correlations and variability across cortical areas. Plos Computational Biology. 16: e1007983 |
| Cocuzza CV, Ito T, Schultz D, et al. (2020) Flexible coordinator and switcher hubs for adaptive task control. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Ito T, Hearne LJ, Cole MW. (2020) A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales. Neuroimage. 221: 117141 |