Browsing by Author "Berezutskaya, Y."

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Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
Berezutskaya, Y. ; Freudenburg, Z.V. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.
2020, Article / Letter to editor (Scientific Reports, vol. 10, (2020), article 12077)
Brain-optimized extraction of complex sound features that drive continuous auditory perception
Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.
2020, Article / Letter to editor (Plos Computational Biology, vol. 16, iss. 7, (2020), article e1007992)
High-density intracranial recordings reveal a distinct site in anterior dorsal precentral cortex that tracks perceived speech
Berezutskaya, Y. ; Baratin, C.; Freudenburg, Z.V. ; Ramsey, N.F.
2020, Article / Letter to editor (Human Brain Mapping, vol. 41, iss. 16, (2020), pp. 4587-4609)
Data-driven modeling of the neural dynamics underlying language processing
Berezutskaya, Y.
2020, Dissertation
Forward amortized inference for likelihood-free variational marginalization
Ambrogioni, L. ; Güçlü, U. ; Berezutskaya, Y. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Hinne, M. ; Maris, E.G.G. ; Gerven, M.A.J. van
2019, Article in monograph or in proceedings (Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 777-786)
Modeling brain responses to perceived speech with LSTM networks
Berezutskaya, Y. ; Freudenburg, Z.V. ; Ramsey, N.F.; Güçlü, U. ; Gerven, M.A.J. van
2017, Article in monograph or in proceedings (Duivesteijn, W.; Pechenizkiy, M.; Fletcher, G.H.L. (ed.), Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning, Technische Universiteit Eindhoven, 9-10 June 2017, pp. 149-153)
Neural tuning to low-level features of speech throughout the perisylvian cortex
Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.
2017, Article / Letter to editor (The Journal of Neuroscience, vol. 37, iss. 33, (2017), pp. 7906-7920)
Bayesian model ensembling using meta-trained recurrent neural networks
Ambrogioni, L. ; Berezutskaya, Y. ; Güçlü, U. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Gerven, M.A.J. van ; Maris, E.G.G.
2017, Article in monograph or in proceedings (Workshop on Meta-Learning (MetaLearn 2017) - Neural Information Processing Systems (NIPS 2017), pp. 1-5)

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