Browsing by Author "Gerven, M.A.J. van"

Deep learning improves automated rodent behavior recognition within a specific experimental setup

Dam, E.A. van ; Noldus, L.P.J.J.; Gerven, M.A.J. van

2020, Article / Letter to editor (Journal of Neuroscience Methods, vol. 332, (2020), article 108536)

Validation of structural brain connectivity networks: The impact of scanning parameters

Ambrosen, K.S.; Eskildsen, S.F.; Hinne, M. ; Krug, K.; Lundell, H.; Schmidt, M.N.; Gerven, M.A.J. van ; Morup, M.; Dyrby, T.B.

2020, Article / Letter to editor (NeuroImage, vol. 204, (2020), article 116207)

Distinct directional couplings between slow and fast gamma power to the phase of theta oscillations in the rat hippocampus

Jiang, H. ; Bahramisharif, A. ; Gerven, M.A.J. van ; Jensen, O.

2020, Article / Letter to editor (European Journal of Neuroscience, vol. 51, iss. 10, (2020), pp. 20270-22081)

Classifying sex and strain from mouse ultrasonic vocalizations using deep learning

Englitz, B.; Gerven, M.A.J. van ; Watkins, P.; Ivanenko, A.; Hammerschmidt, K.

2020, Dataset

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)

Classifying sex and strain from mouse ultrasonic vocalizations using deep learning

Ivanenko, A.; Watkins, P.; Gerven, M.A.J. van ; Hammerschmidt, K.; Englitz, B.

2020, Article / Letter to editor (Plos Computational Biology, vol. 16, iss. 6, (2020), article e1007918)

Adaptive time scales in recurrent neural networks

Quax, S.C. ; D'Asaro, M.; Gerven, M.A.J. van

2020, Article / Letter to editor (Scientific Reports, vol. 10, (2020), article 11360)

Neural dynamics of perceptual inference and its reversal during imagery

Dijkstra, N. ; Ambrogioni, L. ; Vidaurre, D.; Gerven, M.A.J. van

2020, Article / Letter to editor (Elife, vol. 9, (2020), article e53588)

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)

Modeling, recognizing, and explaining apparent personality from videos

Escalante, H.J.; Kaya, H.; Salah, A.A.; Escalera, S.; Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Guyon, I.; Jacques Junior, J.C.S.; Madadi, M.; et al.

sine al.

2020, Article / Letter to editor (IEEE Transactions on Affective Computing, (2020))

Virtual staining for mitosis detection in breast histopathology

Mercan, C.; Mooij, G.C.A.M.; Tellez Martin, D. ; Lotz, J.; Weiss, N.; Gerven, M.A.J. van ; Ciompi, F.

2020, Article in monograph or in proceedings (Proceedings IEEE ISBI 2020: International Symposium on Biomedical Imaging, pp. 1770-1774)

The Indian chefs process

Dallaire, P.; Ambrogioni, L. ; Trottier, L.; Güçlü, U. ; Hinne, M. ; Giguère, P.; Chaib-Draa, B.; Gerven, M.A.J. van ; Laviolette, F.

2020, Article / Letter to editor (Proceedings of Machine Learning Research, vol. 124, (2020), pp. 600-608)

Current advances in neural decoding

Gerven, M.A.J. van ; Seeliger, K. ; Güçlü, U. ; Güçlütürk, Y.

2019, Part of book or chapter of book (Samek, W.; Montavon, G.; Vedaldi, A. (ed.), Explainable AI: Interpreting, explaining and visualizing deep learning, pp. 379-394)

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)

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

Ambrogioni, L. ; Ebel, P.W.; Hinne, M. ; Güçlü, U. ; Gerven, M.A.J. van ; Maris, E.G.G.

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. 787-795)

Neural information flow: Learning neural information processing systems from brain activity

Seeliger, K. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 717-720)

Mind the eye: Confounding eye movements in cognitive neuroscience

Thielen, J. ; Bosch, S.E. ; Leeuwen, T.M. van ; Gerven, M.A.J. van ; Lier, R.J. van

2019, Article / Letter to editor (Perception, vol. 48, iss. Suppl. 2, (2019), pp. 86)

Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience

Thielen, J. ; Bosch, S.E. ; Leeuwen, T.M. van ; Gerven, M.A.J. van ; Lier, R.J. van

2019, Article / Letter to editor (Scientific Reports, vol. 9, (2019), article 17456)

Neuroimaging findings on amodal completion: A review

Thielen, J. ; Bosch, S.E. ; Leeuwen, T.M. van ; Gerven, M.A.J. van ; Lier, R.J. van

2019, Article / Letter to editor (I-Perception, vol. 10, iss. 2, (2019), article 2041669519840047)

Between-subject variability in the influence of mental imagery on conscious perception

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

2019, Article / Letter to editor (Scientific Reports, vol. 9, (2019), article 15658)

Simulating neuroprosthetic vision for emotion recognition

Bollen, C.J.M.; Güçlü, U. ; Wezel, R.J.A. van ; Gerven, M.A.J. van ; Güçlütürk, Y.

2019, Article in monograph or in proceedings (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 85-87)

Emotion recognition with simulated phosphene vision

Bollen, C.J.M.; Wezel, R.J.A. van ; Gerven, M.A.J. van ; Güçlütürk, Y.

2019, Article in monograph or in proceedings (Liu, X.; Min, R.; McDaniel, T. (ed.), MAHCI '19: Proceedings of the 2nd Workshop on Multimedia for Accessible Human Computer Interfaces, pp. 1-8)

Visual imagery strength and sensory ambiguity

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

2019, Dataset

Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience

Thielen, J. ; Bosch, S.E. ; Leeuwen, T.M. van ; Gerven, M.A.J. van ; Lier, R.J. van

2019, Dataset

Temporal factorization of 3D convolutional kernels

Ras, G.E.H. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-9)

Modulation of early visual processing alleviates capacity limits in solving multiple tasks

Thorat, S.R. ; Aldegheri, G. ; Gerven, M.A.J. van ; Peelen, M.V.

2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 226-229)

First impressions: A survey on computer vision-based apparent personality trait analysis

Jacques Junior, J.C.S.; Güçlütürk, Y. ; Pérez, M.; Güçlü, U. ; Andujar, C.; Baró, X.; Escalante, H.J.; Guyon, I.; Gerven, M.A.J. van ; Lier, R.J. van ; et al.

sine al.

2019, Article / Letter to editor (IEEE Transactions on Affective Computing, (2019))

Eye movement effects in MEG

Quax, S.C. ; Dijkstra, N. ; Staveren, M.J. van; Bosch, S.E. ; Gerven, M.A.J. van

2019, Dataset

Task-dependent attention allocation through uncertainty minimization in deep recurrent generative models

Standvoss, K.; Quax, S.C. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 1022-1025)

Eye movements explain decodability during perception and cued attention in MEG

Quax, S.C. ; Dijkstra, N. ; Staveren, M.J. van; Bosch, S.E. ; Gerven, M.A.J. van

2019, Article / Letter to editor (NeuroImage, vol. 195, (2019), pp. 444-453)

Shared neural mechanisms of visual perception and imagery

Dijkstra, N. ; Bosch, S.E. ; Gerven, M.A.J. van

2019, Article / Letter to editor (Trends in Cognitive Sciences, vol. 23, iss. 5, (2019), pp. 423-434)

Daily Functioning and Quality of Life in Patients with Sjogren-Larsson Syndrome

Staps, P. ; Groot, I.J.M. de ; Gerven, M.H.J.C van ; Willemsen, M.A.A.P.

2019, Article / Letter to editor (Neuropediatrics, vol. 50, iss. 2, (2019), pp. 89-95)

Explanation methods in deep learning: Users, values, concerns and challenges

Ras, G.E.H. ; Gerven, M.A.J. van ; Haselager, W.F.G.

2018, Part of book or chapter of book (Escalante, H.J.; Escalera, S.; Guyon, I. (ed.), Explainable and interpretable models in computer vision and machine learning, pp. 19-36)

Menselijke machines

Gerven, M.A.J. van

2018, Lecture

Explainable and interpretable models in computer vision and machine learning

Escalante, H.J.; Escalera, S.; Guyon, I.; Baró, X.; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van

2018, Book editorial

New fMRI methods for the study of language

Willems, R.M. ; Gerven, M.A.J. van

2018, Part of book or chapter of book (Rueschemeyer, S.A.; Gaskell, M.G. (ed.), The Oxford handbook of psycholinguistics (2nd ed.), pp. 975-991)

Differential temporal dynamics during visual imagery and perception

Dijkstra, N. ; Mostert, P. ; Lange, F.P. de ; Bosch, S.E. ; Gerven, M.A.J. van

2018, Article / Letter to editor (Elife, vol. 7, (2018), article e33904)

Multimodal first impression analysis with deep residual networks

Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Escalante, H.J.; Guyon, I.; Escalera, S.; Gerven, M.A.J. van ; Lier, R.J. van

2018, Article / Letter to editor (IEEE Transactions on Affective Computing, vol. 9, iss. 3, (2018), pp. 316-329)

Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices

Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van

2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 3439)

No evidence for confounding orientation-dependent fixational eye movements under baseline conditions

Thielen, J. ; Lier, R.J. van ; Gerven, M.A.J. van

2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 11644)

Convolutional neural network-based encoding and decoding of visual object recognition in space and time

Seeliger, K. ; Fritsche, M. ; Güçlü, U. ; Schoenmakers, S. ; Schoffelen, J.M. ; Bosch, S.E. ; Gerven, M.A.J. van

2018, Article / Letter to editor (NeuroImage, vol. 180, iss. Part A, (2018), pp. 253-266)

Generative adversarial networks for reconstructing natural images from brain activity

Seeliger, K. ; Güçlü, U. ; Ambrogioni, L. ; Güçlütürk, Y. ; Gerven, M.A.J. van

2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)

Wasserstein variational inference

Ambrogioni, L. ; Güçlü, U. ; Güçlütürk, Y. ; Hinne, M. ; Gerven, M.A.J. van ; Maris, E.G.G.

2018, Article in monograph or in proceedings (Bengio, S.; Wallach, H.M.; Larochelle, H. (ed.), Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 2478-2487)