Song, L., Ren, Y., Shuhan, X., Hou, Y. & Lui, X. (2023). A hybrid spatio-temporal deep belief network and sparse representation based framework reveals multi-level core functional components in decoding multi-task fMRI signals. Network Neuroscience,…
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Faber, S.E.M., Belden, A.G., Loui, P., & McInsosh, R. (2023). Age-related variability in network engagement during music
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Arbabyazd, L., Petkoski, S., Breakspear, M., Solodkin, A., Battaglia, D., & Jirsa, V. (2023). State switching and high-order
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Levi, P.T., Chopra, S., Pang, J.C., Holmes, A., Gajwani, M., Sassenberg, T.A., DeYoung, C.G. & Fornito, UN. (2023). The effect
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Pak, V. & Hashmi, J.A. (2023). Top-down threat bias in pain perception is predicted by higher segregation between restingstate
Pak, V. & Hashmi, J.A. (2023). Top-down threat bias in pain perception is predicted by higher segregation between restingstate networks. Network Neuroscience, Advance publication. https://doi.org/10.1162/netn_a_00328. Title: Top-down threat bias in pain perception is predicted by…