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Browsing by Author "Gerven, M.A.J. van"
Now showing items 1-50 of 146
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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. van2019, Article / Letter to editor (NeuroImage, vol. 195, (2019), pp. 444-453) -
Shared neural mechanisms of visual perception and imagery 2019, Article / Letter to editor (Trends in Cognitive Sciences, vol. 23, iss. 5, (2019), pp. 423-434)
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Eye movement effects in MEG Quax, S.C. ; Dijkstra, N. ; Staveren, Mariel van; Bosch, Sander ; Gerven, M.A.J. van2019, Dataset
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Neuroimaging findings on amodal completion: A review 2019, Article / Letter to editor (I-Perception, vol. 10, iss. 2, (2019), article 2041669519840047) -
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. van2019, 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. 1-10)
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Explanation methods in deep learning: Users, values, concerns and challenges 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)
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The functional role of cue-driven feature-based feedback in object recognition 2018, Article in monograph or in proceedings (Proceedings 2018 Conference on Cognitive Computational Neuroscience, pp. 1-4)
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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. van2018, Book editorial
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Emergent mechanisms of evidence integration in recurrent neural networks 2018, Article / Letter to editor (PLoS One, vol. 13, iss. 10, (2018), article e0205676)
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New fMRI methods for the study of language 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) -
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. van2018, Article / Letter to editor (NeuroImage, vol. 180, iss. Part A, (2018), pp. 253-266)
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Differential temporal dynamics during visual imagery and perception 2018, Article / Letter to editor (Elife, vol. 7, (2018), article e33904)
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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. van2018, Article / Letter to editor (IEEE Transactions on Affective Computing, vol. 9, iss. 3, (2018), pp. 316-329)
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Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices 2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 3439)
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No evidence for confounding orientation-dependent fixational eye movements under baseline conditions 2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 11644)
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Generative adversarial networks for reconstructing natural images from brain activity 2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)
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Parkinsonian rest tremor can be detected accurately based on neuronal oscillations recorded from the subthalamic nucleus Hirschmann, J. ; Schoffelen, J.M. ; Schnitzler, A.; Gerven, M.A.J. van2017, Article / Letter to editor (Clinical Neurophysiology, vol. 128, iss. 10, (2017), pp. 2029-2036)
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Vividness of visual imagery depends on the neural overlap with perception in visual areas 2017, Article / Letter to editor (The Journal of Neuroscience, vol. 37, iss. 5, (2017), pp. 1367-1373)
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Distinct top-down and bottom-up brain connectivity during visual perception and imagery Dijkstra, N. ; Zeidman, P.; Ondobaka, S. ; Gerven, M.A.J. van ; Friston, K.2017, Article / Letter to editor (Scientific Reports, vol. 7, (2017), article 5677)
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A primer on encoding models in sensory neuroscience 2017, Article / Letter to editor (Journal of Mathematical Psychology, vol. 76, iss. Part B, (2017), pp. 172-183)
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Generalization of an upper bound on the number of nodes needed to achieve linear separability Troost, M.; Seeliger, K.; Gerven, M.A.J. van2017, Article in monograph or in proceedings (Verheij, B.; Wiering, M. (ed.), BNAIC 2017: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, pp. 238-252)
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Computational foundations of natural intelligence 2017, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 11, (2017), article 112)
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Predicting and visualizing psychological attributions with a deep neural network Grant, E.; Sahm, S.; Zabihi, M. ; Gerven, M.A.J. van2017, Article in monograph or in proceedings (Pattern Recognition (ICPR), 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 1-6)
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Bayesian estimation of directed functional coupling from brain recordings Benozzo, D.; Jylänki, P.P. ; Olivetti, E.; Avesani, P.; Gerven, M.A.J. van2017, Article / Letter to editor (PLoS One, vol. 12, iss. 5, (2017), article e0177359)
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The missing link: Predicting connectomes from noisy and partially observed tract tracing data Hinne, M. ; Meijers, A.; Bakker, R. ; Tiesinga, P.H.E.; Morup, M.; Gerven, M.A.J. van2017, Article / Letter to editor (Plos Computational Biology, vol. 13, iss. 1, (2017), article e1005374)
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Correction: The missing link: Predicting connectomes from noisy and partially observed tract tracing data Hinne, M. ; Meijers, A.; Bakker, R. ; Tiesinga, P.H.E.; Morup, M.; Gerven, M.A.J. van2017, Article / Letter to editor (Plos Computational Biology, vol. 13, iss. 4, (2017), article e1005478)
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Editorial: Artificial neural networks as models of neural information processing Gerven, M.A.J. van ; Bohte, S.M.2017, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 11, (2017), article 114)
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Modeling brain responses to perceived speech with LSTM networks Berezutskaya, Y. ; Freudenburg, Z.V.; Ramsey, N.F.; Güçlü, U. ; Gerven, M.A.J. van2017, 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)
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Increasingly complex representations of natural movies across the dorsal stream are shared between subjects 2017, Article / Letter to editor (NeuroImage, vol. 145, iss. Part B, (2017), pp. 329-336)
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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)
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Probing human brain function with artificial neural networks 2017, Part of book or chapter of book (Moustafa, A.A. (ed.), Computational models of brain and behavior, pp. 413-423)
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Modeling the dynamics of human brain activity with recurrent neural networks 2017, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 11, (2017), article 7)
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Resting-state subcortical functional connectivity in HIV-infected patients on long-term cART Janssen, M.A.M.; Hinne, M. ; Janssen, R.J. ; Gerven, M.A.J. van ; Steens, S.C.; Góraj, B.M. ; Koopmans, P.P. ; Kessels, R.P.C.2017, Article / Letter to editor (Brain Imaging and Behavior, vol. 11, iss. 5, (2017), pp. 1555-1560)
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Abnormal connectivity in the sensorimotor network predicts attention deficits in traumatic brain injury 2017, Article / Letter to editor (Experimental Brain Research, vol. 235, iss. 3, (2017), pp. 799-807)
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Visualizing apparent personality analysis with deep residual networks Güçlütürk, Y. ; Güçlü, U. ; Pérez, M.; Escalante, H.J.; Baró, X.; Guyon, I.; Andujar, C.; Jacques, J.; Madadi, M.; Escalera, S.; Gerven, M.A.J. van ; Lier, R.J. van et al.2017, Article in monograph or in proceedings (2017 IEEE International Conference on Computer Vision (ICCV), pp. 3101-3109)
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Design of an explainable machine learning challenge for video interviews Escalante, H.J.; Guyon, I.; Escalera, S.; Jacques, J.; Madadi, M.; Baró, X.; Ayache, S.; Viegas, E.; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van et al.2017, Article in monograph or in proceedings (2017 International Joint Conference on Neural Networks (IJCNN), pp. 3688-3695)
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Reconstructing perceived faces from brain activations with deep adversarial neural decoding 2017, Article in monograph or in proceedings (Guyon, I.; Luxburg, U.V.; Bengio, S. (ed.), Advances in Neural Information Processing Systems 30 (NIPS 2017) Pre-Proceedings, pp. 4249-4260)
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Algorithmic composition of polyphonic music with the WaveCRF 2017, Article in monograph or in proceedings (2017 Neural Information Processing Systems (NIPS): Machine Learning for Creativity and Design Workshop (December 8, 2017), pp. 1-3)
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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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GP CaKe: Effective brain connectivity with causal kernels 2017, Article in monograph or in proceedings (Guyon, I.; Luxburg, U.V.; Bengio, S. (ed.), Advances in Neural Information Processing Systems 30 (NIPS 2017), pp. 951-960)
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Dynamic decomposition of spatiotemporal neural signals 2017, Article / Letter to editor (Plos Computational Biology, vol. 13, iss. 5, (2017), article e1005540)
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The spatiotemporal dynamics of binocular rivalry: Evidence for increased top-down flow prior to a perceptual switch 2016, Article / Letter to editor (Neuroscience of Consciousness, vol. 2016, iss. 1, (2016), article niw003)
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SP 1. Parkinsonian rest tremor can be detected based on frequency domain features of the cerebral tremor network Hirschmann, J. ; Schoffelen, J.M. ; Schnitzler, A.; Gerven, M.A.J. van2016, Article / Letter to editor (Clinical Neurophysiology, vol. 127, iss. 9, (2016), pp. e168)
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Let's not waste time: Using temporal information in Clustered Activity Estimation with Spatial Adjacency Restrictions (CAESAR) for parcellating FMRI data 2016, Article / Letter to editor (PLoS One, vol. 11, iss. 12, (2016), article e0164703)
Now showing items 1-50 of 146
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