Bayesian Inference of Whole-Brain Networks

Autor: Hinne, M., Heskes, T., van Gerven, M. A. J.

In structural brain networks the connections of interest consist of white-matter fibre bundles between spatially segregated brain regions. The presence, location and orientation of these white matter tracts can be derived using diffusion MRI in combi

Externí odkaz: http://arxiv.org/abs/1202.1696

Phenotype based prediction of WES outcome using machine learning

Autor: Dingemans, A.J.M., Hinne, M., Jansen, S, Reeuwijk, J. van, Leeuw, N. de, Pfundt, R.P., Bon, B.W.M. van, Vulto-van Silfhout, A.T., Kleefstra, T., Koolen, D.A., Gerven, M.A.J. van, Vissers, L.E.L.M., Vries, L.B.A. de

Publikováno v: European Journal of Human Genetics, 30, 506
European Journal of Human Genetics, 30, 1, pp. 506

Contains fulltext : 249711.pdf (Publisher’s version ) (Closed access) 1 p.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::99b4bd73ad1d5b2f3f696ee9ee377d61
http://hdl.handle.net/2066/249711

SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity

Autor: Ambrogioni, L., Ebel, P.W., Hinne, M., Güçlü, U., Gerven, M.A.J. van, Maris, E.G.G., Chaudhuri, K., Sugiyama, M.

Publikováno v: Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 787-795
Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, 787-795. [S.l.] : [S.n.]
STARTPAGE=787;ENDPAGE=795;ISSN=2640-3498;TITLE=Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019

Item does not contain fulltext In this paper we introduce a semi-analytic variational framework for approximating the posterior of a Gaussian processes coupled through non-linear emission models. While the semi-analytic method can be applied to a lar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a78d0b1d2c87cb073883704e9bec3c7b
https://hdl.handle.net/2066/212532

Spectral discontinuity design: Interrupted time series with spectral mixture kernels

Autor: Leeftink, H.D.F., Hinne, M., Alsentzer, E., McDermott, M.B.A., Falck, F., Sarkar, S.K., Roy, S., Hyland, S.L.

Publikováno v: Alsentzer, E.; McDermott, M.B.A.; Falck, F. (ed.), Proceedings of the Machine Learning for Health NeurIPS Workshop, pp. 213-225
Alsentzer, E.; McDermott, M.B.A.; Falck, F. (ed.), Proceedings of the Machine Learning for Health NeurIPS Workshop, 213-225. S.l. : PMLR
STARTPAGE=213;ENDPAGE=225;ISSN=2640-3498;TITLE=Alsentzer, E.; McDermott, M.B.A.; Falck, F. (ed.), Proceedings of the Machine Learning for Health NeurIPS Workshop

Item does not contain fulltext Quasi-experimental designs allow researchers to determine the effect of a treatment, even when randomized controlled trials are infeasible. A prominent example is interrupted time series (ITS) design, in which the effec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ecf0ae472df311998d612bfe762fa6a3
https://hdl.handle.net/2066/227234

Individual differences in the influence of mental imagery on conscious perception

Autor: Dijkstra, N., Hinne, M., Bosch, S.E., van Gerven, M.A.J.

Mental imagery and visual perception rely on similar neural mechanisms, but the function of this overlap remains unclear. One idea is that imagery can influence perception. Previous research has shown that imagining a stimulus prior to binocular pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224b0727c425bb3605c853e98ae81479
https://doi.org/10.1101/607770