Dr. H.S. (Steven) Scholte
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Brain & Cognition
Expertisegebied: How does the brain use the structure in the world to efficiently process information, Visual perception, Developing and testing mechanistical models of cognition to understand behaviour, Learning mechanisms
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: 0.14
Postadres
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Postbus 15915
1001 NK Amsterdam
Contactgegevens
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Profile
I studied philosophy, biology (MSc) and psychology (MA) at the University of Amsterdam . My master thesis work was done at the laboratorium of Fernando Lopes da Silva at the institute for epilepsy (language and motor research by means of MEG), Meer en Bosch and with Pieter Roelfsema at the Netherlands Ophthalmic Research Institute (figure-figure and figure-ground segmentation). I obtained my Ph.D. (titled Scene Segmentation) in 2003 with work at the Netherlands Ophthalmic Research Institute and at the department of medical physics (AMC) with Henk Spekreijse and Victor Lamme as thesis advisors. In 2004 I became assistant professor at the psychology department of the University of Amsterdam and in 2009 associate professor. Apart from my research and teaching I am also: head of the Spinoza REC MRI Center and CEO / founder of Neurensics BV, an international company performing market and consumer neuroscience research.
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Teaching
- NeuroImaging : Bold-MRI
- NeuroImaging : Pattern Analysis
- Computational Cognitive Neuroscience
- Deep learning in Psychology
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Publicaties
- refereed (100)
- wetenschappelijk (5)
- congresbijdragen (5)
- overige (9)
- erkenning (1)
- supervised theses (1)
- datasets (4)
2023
Müller, N., Groen, I. I. A., & Scholte, H. S. (2023). Pre-Training on High-Quality Natural Image Data Reduces DCNN Texture Bias. In CCN : Conference on Cognitive Computational Neuroscience: Oxford, UK, August 24-27, 2023 (pp. 371-374). CCN. https://doi.org/10.32470/CCN.2023.1294-0 [details]- Snoek, L., Jack, R. E., Schyns, P. G., Garrod, O. G. B., Mittenbühler, M., Chen, C., Oosterwijk, S., & Scholte, H. S. (2023). Testing, explaining, and exploring models of facial expressions of emotions. Science Advances, 9(6), Article abq8421. https://doi.org/10.1126/sciadv.abq8421 [details]
- Sörensen, L. K. A., Bohté, S. M., de Jong, D., Slagter, H. A., & Scholte, H. S. (2023). Mechanisms of human dynamic object recognition revealed by sequential deep neural networks. PLoS Computational Biology, 19(6), Article e1011169. https://doi.org/10.1371/journal.pcbi.1011169 [details]
2022
- Lammers, N. A., Van den Berg, N. S., Lugtmeijer, S., Smits, A. R., Pinto, Y., de Haan, E. H. F., & the visual brain group (2022). Mid-range visual deficits after stroke: Prevalence and co-occurrence. PLoS ONE, 17(4), Article e0262886. https://doi.org/10.1371/journal.pone.0262886 [details]
- Loke, J., Seijdel, N., Snoek, L., van der Meer, M., van de Klundert, R., Quispel, E., Cappaert, N., & Scholte, H. S. (2022). A Critical Test of Deep Convolutional Neural Networks’ Ability to Capture Recurrent Processing in the Brain Using Visual Masking. Journal of Cognitive Neuroscience, 34(12), 2390-2405. https://doi.org/10.1162/jocn_a_01914 [details]
- Sörensen, L. K. A., Bohté, S. M., Slagter, H. A., & Scholte, H. S. (2022). Arousal state affects perceptual decisionmaking by modulating hierarchical sensory processing in a large-scale visual system model. PLoS Computational Biology, 18(4), Article e1009976. https://doi.org/10.1371/journal.pcbi.1009976 [details]
- Sörensen, L. K. A., Zambrano, D., Slagter, H. A., Bohté, S. M., & Scholte, H. S. (2022). Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention. Journal of Cognitive Neuroscience, 34(4), 655-674. https://doi.org/10.1162/jocn_a_01819 [details]
2021
- Lugtmeijer, S., Geerligs, L., de Leeuw, F. E., de Haan, E. H. F., Kessels, R. P. C., & The Visual Brain Group (2021). Are visual working memory and episodic memory distinct processes? Insight from stroke patients by lesion-symptom mapping. Brain Structure and Function, 226(6), 1713-1726. https://doi.org/10.1007/s00429-021-02281-0 [details]
- Seijdel, N., Loke, J., van de Klundert, R., van der Meer, M., Quispel, E., van Gaal, S., de Haan, E. H. F., & Scholte, H. S. (2021). On the Necessity of Recurrent Processing during Object Recognition: It Depends on the Need for Scene Segmentation. Journal of Neuroscience, 41(29), 6281-6289. https://doi.org/10.1523/JNEUROSCI.2851-20.2021 [details]
- Seijdel, N., Scholte, H. S., & de Haan, E. H. F. (2021). Visual features drive the category-specific impairments on categorization tasks in a patient with object agnosia. Neuropsychologia, 161, Article 108017. https://doi.org/10.1016/j.neuropsychologia.2021.108017 [details]
- Snoek, L., van der Miesen, M. M., Beemsterboer, T., van der Leij, A., Eigenhuis, A., & Scholte, H. S. (2021). The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses. Scientific Data, 8, Article 85. https://doi.org/10.1038/s41597-021-00870-6 [details]
- Visser, R. M., Bathelt, J., Scholte, H. S., & Kindt, M. (2021). Robust BOLD Responses to Faces But Not to Conditioned Threat: Challenging the Amygdala’s Reputation in Human Fear and Extinction Learning. Journal of Neuroscience, 41(50), 10278-10292. https://doi.org/10.1523/JNEUROSCI.0857-21.2021 [details]
- Yin, B., Scholte, H. S., & Bohté, S. (2021). LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization. In I. Farkaš, P. Masulli, S. Otte, & S. Wermter (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021 : proceedings (Vol. IV, pp. 240-252). (Lecture Notes in Computer Science; Vol. 12894). Springer. https://doi.org/10.1007/978-3-030-86380-7_20 [details]
- de Haan, E. H. F., Scholte, H. S., Pinto, Y., Foschi, N., Polonara, G., & Fabri, M. (2021). Singularity and consciousness: A neuropsychological contribution. Journal of Neuropsychology, 15(1), 1-19. https://doi.org/10.1111/jnp.12234 [details]
- van den Berg, N. S., de Haan, E. H. F., Huitema, R. B., Spikman, J. M., & the visual brain group (2021). The neural underpinnings of facial emotion recognition in ischemic stroke patients. Journal of Neuropsychology, 15(3), 516-532. https://doi.org/10.1111/jnp.12240 [details]
2020
- Erzurumluoglu, A. M., Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, & CHD Exome+ Consortium (2020). Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry, 25(10), 2392-2409. Advance online publication. https://doi.org/10.1038/s41380-018-0313-0 [details]
- Oosterwijk, S., Snoek, L., Tekoppele, J., Engelbert, L. H., & Scholte, H. S. (2020). Choosing to view morbid information involves reward circuitry. Scientific Reports, 10, Article 15291. https://doi.org/10.1038/s41598-020-71662-y [details]
- Rojek-Giffin, M., Lebreton, M., Scholte, H. S., van Winden, F., Ridderinkhof, K. R., & De Dreu, C. K. W. (2020). Neurocognitive Underpinnings of Aggressive Predation in Economic Contests. Journal of Cognitive Neuroscience, 32(7), 1276-1288. https://doi.org/10.1162/jocn_a_01545 [details]
- Seijdel, N., Jahfari, S., Groen, I. I. A., & Scholte, H. S. (2020). Low-level image statistics in natural scenes influence perceptual decision-making. Scientific Reports, 10, Article 10573. https://doi.org/10.1038/s41598-020-67661-8 [details]
- Seijdel, N., Tsakmakidis, N., de Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2020). Depth in convolutional neural networks solves scene segmentation. PLoS Computational Biology, 16(7), Article e1008022. https://doi.org/10.1371/journal.pcbi.1008022 [details]
2019
- Brazel, D. M., Jiang, Y., Hughey, J. M., Turcot, V., Zhan, X., Gong, J., Batini, C., Weissenkampen, J. D., Liu, M. Z., CHD Exome+ Consortium, Consortium for Genetics of Smoking Behaviour, Barnes, D. R., Bertelsen, S., Chou, Y-L., Erzurumluoglu, A. M., Faul, J. D., Haessler, J., Hammerschlag, A. R., Hsu, C., ... Boehnke, M. (2019). Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry, 85(11), 946-955. Advance online publication. https://doi.org/10.1016/j.biopsych.2018.11.024 [details]
- Smits, A. R., Seijdel, N., Scholte, H. S., Heywood, C. A., Kentridge, R. W., & de Haan, E. H. F. (2019). Action blindsight and antipointing in a hemianopic patient. Neuropsychologia, 128, 270-275. Advance online publication. https://doi.org/10.1016/j.neuropsychologia.2018.03.029 [details]
- Snoek, L., Miletić, S., & Scholte, H. S. (2019). How to control for confounds in decoding analyses of neuroimaging data. NeuroImage, 184, 741-760. Advance online publication. https://doi.org/10.1016/j.neuroimage.2018.09.074 [details]
- Zambrano, D., Nusselder, R., Scholte, H. S., & Bohté, S. M. (2019). Sparse Computation in Adaptive Spiking Neural Networks. Frontiers in Neuroscience, 12, Article 987. https://doi.org/10.3389/fnins.2018.00987 [details]
2018
- Groen, I. I. A., Jahfari, S., Seijdel, N., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2018). Scene complexity modulates degree of feedback activity during object detection in natural scenes. PLoS Computational Biology, 14(12), Article e1006690. Advance online publication. https://doi.org/10.1101/293290, https://doi.org/10.1371/journal.pcbi.1006690 [details]
- Prochazkova, E., Prochazkova, L., Giffin, M. R., Scholte, H. S., De Dreu, C. K. W., & Kret, M. E. (2018). Pupil mimicry promotes trust through the theory-of-mind network. Proceedings of the National Academy of Sciences of the United States of America, 115(31), E7265-E7274. https://doi.org/10.1073/pnas.1803916115 [details]
- Scholte, H. S., Losch, M. M., Ramakrishnan, K., de Haan, E. H. F., & Bohte, S. M. (2018). Visual pathways from the perspective of cost functions and multi-task deep neural networks. Cortex, 98, 249-261. Advance online publication. https://doi.org/10.1016/j.cortex.2017.09.019 [details]
- Xu, T., Garrod, O., Scholte, S. H., Ince, R., & Schyns, P. G. (2018). Using psychophysical methods to understand mechanisms of face identification in a deep neural network. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition workshops: CVPRW 2018 : proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 2057-2065). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2018.00266 [details]
- de Haan, M. I. C., van Well, S., Visser, R. M., Scholte, H. S., van Wingen, G. A., & Kindt, M. (2018). The influence of acoustic startle probes on fear learning in humans. Scientific Reports, 8, Article 14552. https://doi.org/10.1038/s41598-018-32646-1 [details]
2017
- Colizoli, O., Murre, J. M. J., Scholte, H. S., & Rouw, R. (2017). Creating colored letters: Familial markers of grapheme–color synesthesia in parietal lobe activation and structure. Journal of Cognitive Neuroscience, 29(7), 1239-1252. Advance online publication. https://doi.org/10.1162/jocn_a_01105 [details]
- Oosterwijk, S., Snoek, L., Rotteveel, M., Barrett, L. F., & Scholte, H. S. (2017). Shared states: using MVPA to test neural overlap between self-focused emotion imagery and other-focused emotion understanding. Social Cognitive and Affective Neuroscience, 12(7), 1025-1035. Advance online publication. https://doi.org/10.1093/scan/nsx037 [details]
2016
- Blom, R. M., van Wingen, G. A., van der Wal, S. J., Luigjes, J., van Dijk, M. T., Scholte, H. S., & Denys, D. (2016). The Desire for Amputation or Paralyzation: Evidence for Structural Brain Anomalies in Body Integrity Identity Disorder (BIID). PLoS ONE, 11(11), Article e0165789. https://doi.org/10.1371/journal.pone.0165789 [details]
- Colizoli, O., Murre, J. M. J., Scholte, H. S., van Es, D. M., Knapen, T., & Rouw, R. (2016). Visual cortex activity predicts subjective experience after reading books with colored letters. Neuropsychologia, 88, 15-27. Advance online publication. https://doi.org/10.1016/j.neuropsychologia.2015.07.006 [details]
- Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2016). The time course of natural scene perception with reduced attention. Journal of Neurophysiology, 115(2), 931-946. Advance online publication. https://doi.org/10.1152/jn.00896.2015 [details]
- Rouw, R., & Scholte, H. S. (2016). Personality and cognitive profiles of a general synesthetic trait. Neuropsychologia, 88, 35-48. Advance online publication. https://doi.org/10.1016/j.neuropsychologia.2016.01.006 [details]
- Tamboer, P., Vorst, H. C. M., Ghebreab, S., & Scholte, H. S. (2016). Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia. NeuroImage: Clinical, 11, 508-514. https://doi.org/10.1016/j.nicl.2016.03.014 [details]
- Vandenbroucke, A. R. E., Fahrenfort, J. J., Meuwese, J. D. I., Scholte, H. S., & Lamme, V. A. F. (2016). Prior knowledge about objects determines neural color representation in human visual cortex. Cerebral Cortex, 26(4), 1401-1408. Advance online publication. https://doi.org/10.1093/cercor/bhu224 [details]
- Visser, R. M., Haver, P., Zwitser, R. J., Scholte, H. S., & Kindt, M. (2016). First steps in using multi-voxel pattern analysis to disentangle neural processes underlying generalization of spider fear. Frontiers in Human Neuroscience, 10, Article 222. https://doi.org/10.3389/fnhum.2016.00222 [details]
- Visser, R. M., de Haan, M. I. C., Beemsterboer, T., Haver, P., Kindt, M., & Scholte, H. S. (2016). Quantifying learning‐dependent changes in the brain: Single trial multivoxel pattern analysis requires slow event related fMRI. Psychophysiology, 53(8), 1117-1127. https://doi.org/10.1111/psyp.12665 [details]
- van Loon, A. M., Fahrenfort, J. J., van der Velde, B., Lirk, P. B., Vulink, N. C. C., Hollmann, M. W., Scholte, H. S., & Lamme, V. A. F. (2016). NMDA Receptor Antagonist Ketamine Distorts Object Recognition by Reducing Feedback to Early Visual Cortex. Cerebral Cortex, 26(5), 1986-1996. Advance online publication. https://doi.org/10.1093/cercor/bhv018 [details]
2015
- Cohen, M. X., Weidacker, K. S., Tankink, J., Scholte, H. S., & Rouw, R. (2015). Grapheme-color synesthesia subtypes: stable individual differences reflected in posterior alpha-band oscillations. Cognitive Neuroscience, 6(2-3), 56-67. Advance online publication. https://doi.org/10.1080/17588928.2015.1017450 [details]
- Jahfari, S., Waldorp, L., Ridderinkhof, K. R., & Scholte, H. S. (2015). Visual information shapes the dynamics of corticobasal ganglia pathways during response selection and inhibition. Journal of Cognitive Neuroscience, 27(7), 1344-1359. https://doi.org/10.1162/jocn_a_00792 [details]
- Koolschijn, P. C. M. P., Geurts, H. M., van der Leij, A. R., & Scholte, H. S. (2015). Are autistic traits in the general population related to global and regional brain differences? Journal of Autism and Development Disorders, 45(9), 2779-2791. https://doi.org/10.1007/s10803-015-2441-6 [details]
- Ramakrishnan, K., Scholte, H. S., Groen, I. I. A., Smeulders, A. W. M., & Ghebreab, S. (2015). Visual dictionaries as intermediate features in the human brain. Frontiers in Computational Neuroscience, 8, Article 168. https://doi.org/10.3389/fncom.2014.00168 [details]
- Ramakrishnan, K., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2015). Neural spatial consistency of hierarchical vision models. In NIPS Workshop on Machine Learning in Neuroimaging https://sites.google.com/site/mliniworkshop2015/schedule
- Tamboer, P., Scholte, H. S., & Vorst, H. C. M. (2015). Dyslexia and voxel-based morphometry: correlations between five behavioural measures of dyslexia and gray and white matter volumes. Annals of Dyslexia, 65(3), 121-141. Advance online publication. https://doi.org/10.1007/s11881-015-0102-2 [details]
- Visser, R. M., Kunze, A. E., Westhoff, B., Scholte, H. S., & Kindt, M. (2015). Representational similarity analysis offers a preview of the noradrenergic modulation of long-term fear memory at the time of encoding. Psychoneuroendocrinology, 55, 8-20. Advance online publication. https://doi.org/10.1016/j.psyneuen.2015.01.021 [details]
- de Dreu, C. K. W., Scholte, H. S., van Winden, F. A. A. M., & Ridderinkhof, K. R. (2015). Oxytocin tempers calculated greed but not impulsive defense in predator-prey contests. Social Cognitive and Affective Neuroscience, 10(5), 721-728. Advance online publication. https://doi.org/10.1093/scan/nsu109 [details]
- van Waarde, J. A., Scholte, H. S., van Oudheusden, L. J. B., Verwey, B., Denys, D., & van Wingen, G. A. (2015). A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression. Molecular Psychiatry, 20(5), 609-614. Advance online publication. https://doi.org/10.1038/mp.2014.78 [details]
2014
- Bloemers, J., Scholte, H. S., van Rooij, K., Goldstein, I., Gerritsen, J., Olivier, B., & Tuiten, A. (2014). Reduced gray matter volume and increased white matter fractional anisotropy in women with hypoactive sexual desire disorder. The Journal of Sexual Medicine, 11(3), 753-767. https://doi.org/10.1111/jsm.12410 [details]
- Gerlicher, A. M. V., van Loon, A. M., Scholte, H. S., Lamme, V. A. F., & van der Leij, A. R. (2014). Emotional facial expressions reduce neural adaptation to face identity. Social Cognitive and Affective Neuroscience, 9(5), 610-614. Advance online publication. https://doi.org/10.1093/scan/nst022 [details]
- Meuwese, J. D. I., Scholte, H. S., & Lamme, V. A. F. (2014). Latent memory of unattended stimuli reactivated by practice: An fMRI study on the role of consciousness and attention in learning. PLoS ONE, 9(3), e90098. Article e90098. https://doi.org/10.1371/journal.pone.0090098 [details]
- Ramakrishnan, K., Groen, I. I. A., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2014). Visual dictionaries in the Brain: Comparing HMAX and BOW. In 2014 IEEE International Conference on Multimedia and Expo (ICME 2014): Chengdu, China 14-18 July 2014 IEEE. https://doi.org/10.1109/ICME.2014.6890312 [details]
- Wokke, M. E., Scholte, H. S., & Lamme, V. A. F. (2014). Opposing dorsal/ventral stream dynamics during figure-ground segregation. Journal of Cognitive Neuroscience, 26(2), 365-379. https://doi.org/10.1162/jocn_a_00497 [details]
2013
- Bringmann, L. F., Scholte, H. S., & Waldorp, L. J. (2013). Matching structural, effective, and functional connectivity: a comparison between structural equation modeling and ancestral graphs. Brain Connectivity, 3(4), 375-385. Advance online publication. https://doi.org/10.1089/brain.2012.0130 [details]
- Geurts, H. M., Ridderinkhof, K. R., & Scholte, H. S. (2013). The relationship between grey-matter and ASD and ADHD traits in typical adults. Journal of Autism and Development Disorders, 43(7), 1630-1641. https://doi.org/10.1007/s10803-012-1708-4 [details]
- Groen, I. I. A., Ghebreab, S., Prins, H., Lamme, V. A. F., & Scholte, H. S. (2013). From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category. The Journal of Neuroscience, 33(48), 18814-18824. Advance online publication. https://doi.org/10.1523/JNEUROSCI.3128-13.2013 [details]
- Jahfari, S., Ridderinkhof, K. R., & Scholte, H. S. (2013). Spatial frequency information modulates response inhibition and decision-making processes. PLoS ONE, 8(10), Article e76467. https://doi.org/10.1371/journal.pone.0076467 [details]
- Meuwese, J. D. I., Post, R. A. G., Scholte, H. S., & Lamme, V. A. F. (2013). Does perceptual learning require consciousness or attention? Journal of Cognitive Neuroscience, 25(10), 1579-1596. https://doi.org/10.1162/jocn_a_00424 [details]
- Meuwese, J. D. I., van Loon, A. M., Scholte, H. S., Lirk, P. B., Vulink, N. C. C., Hollmann, M. W., & Lamme, V. A. F. (2013). NMDA receptor antagonist ketamine impairs feature integration in visual perception. PLoS ONE, 8(11), e79326. Article e79326. https://doi.org/10.1371/journal.pone.0079326 [details]
- Pinto, Y., van der Leij, A. R., Sligte, I. G., Lamme, V. A. F., & Scholte, H. S. (2013). Bottom-up and top-down attention are independent. Journal of Vision, 13(3), 16. Article 16. https://doi.org/10.1167/13.3.16 [details]
- Ramakrishnan, K., Groen, I., Scholte, S., Smeulders, A., & Ghebreab, S. (2013). Visual word representation in the brain. In MLINI '13: machine learning and interpretation in neuroimaging: proceedings of MLINI 2013 NIPS. https://01bd0cad-a-62cb3a1a-s-sites.googlegroups.com/site/mlininips2013/proceedings-of-mlini-2012-1/Paper%2015.pdf?attachauth=ANoY7cp4nAvjL0WGF0VhlKiNYjlsYK5Dun8QP5WroTIsnx2beAI3dKBZ6LmozcGUQznaKwYA8z1FppD-OddZf2__8Sy_ysB9R26SiZViH0zKXZAoaAICLlW_mF3pMdmL9meh5vIuQdNn5iUb5C-qreYHpMZbz8IKpx2y3LTw6vkL3GbUCXex3xPGKMHa0alD3S79ps0hJeTMPBP0mplBJ4gAIEfaDAYl0OBH3ojGGVq4SYWXR5wydJhd5EL9Vcy3sop_rzG6UVUB&attredirects=0 [details]
- Visser, R. M., Scholte, H. S., Beemsterboer, T., & Kindt, M. (2013). Neural pattern similarity predicts long-term fear memory. Nature Neuroscience, 16(4), 388-390. Advance online publication. https://doi.org/10.1038/nn.3345 [details]
- Wokke, M. E., Vandenbroucke, A. R. E., Scholte, H. S., & Lamme, V. A. F. (2013). Confuse your illusion: feedback to early visual cortex contributes to perceptual completion. Psychological Science, 24(1), 63-71. Advance online publication. https://doi.org/10.1177/0956797612449175 [details]
- van Dijk, M. T., van Wingen, G. A., van Lammeren, A., Blom, R. M., de Kwaasteniet, B. P., Scholte, H. S., & Denys, D. (2013). Neural basis of limb ownership in individuals with body integrity identity disorder. PLoS ONE, 8(8), Article e72212. https://doi.org/10.1371/journal.pone.0072212 [details]
- van Loon, A. M., Knapen, T., Scholte, H. S., St. John-Saaltink, E., Donner, T. H., & Lamme, V. A. F. (2013). GABA shapes the dynamics of bistable perception. Current Biology, 23(9), 823-827. https://doi.org/10.1016/j.cub.2013.03.067 [details]
2012
- Fahrenfort, J. J., Snijders, T. M., Heinen, K., van Gaal, S., Scholte, H. S., & Lamme, V. A. F. (2012). Neuronal integration in visual cortex elevates face category tuning to conscious face perception. Proceedings of the National Academy of Sciences of the United States of America, 109(52), 21504-21509. https://doi.org/10.1073/pnas.1207414110 [details]
- Goekoop, R., Goekoop, J. G., & Scholte, H. S. (2012). The Network Structure of Human Personality According to the NEO-PI-R: Matching Network Community Structure to Factor Structure. PLoS ONE, 7(12), e51558. Article e51558. https://doi.org/10.1371/journal.pone.0051558 [details]
- Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Low-level contrast statistics are diagnostic of invariance of natural textures. Frontiers in Computational Neuroscience, 6, 34. Article 34. https://doi.org/10.3389/fncom.2012.00034 [details]
- Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories. PLoS Computational Biology, 8(10), Article e1002726. https://doi.org/10.1371/journal.pcbi.1002726.g001 [details]
- Kievit, R. A., van Rooijen, H., Wicherts, J. M., Waldorp, L. J., Kan, K-J., Scholte, H. S., & Borsboom, D. (2012). Intelligence and the brain: a model-based approach. Cognitive Neuroscience, 3(2), 89-97. https://doi.org/10.1080/17588928.2011.628383 [details]
- Korjoukov, I., Jeurissen, D., Kloosterman, N. A., Verhoeven, J. E., Scholte, H. S., & Roelfsema, P. R. (2012). The time course of perceptual grouping in natural scenes. Psychological Science, 23(12), 1482-1489. https://doi.org/10.1177/0956797612443832 [details]
- Pinto, Y., Scholte, H. S., & Lamme, V. A. F. (2012). Tracking moving identities: after attending the right location, the identity does not come for free. PLoS ONE, 7(8), e42929. Article e42929. https://doi.org/10.1371/journal.pone.0042929 [details]
- Wokke, M. E., Sligte, I. G., Scholte, H. S., & Lamme, V. A. F. (2012). Two critical periods in early visual cortex during figure-ground segregation. Brain and Behavior, 2(6), 763-777. Advance online publication. https://doi.org/10.1002/brb3.91 [details]
- van Loon, A. M., Scholte, H. S., van Gaal, S., van der Hoort, B. J. J., & Lamme, V. A. F. (2012). GABAa agonist reduces visual awareness: a masking-EEG experiment. Journal of Cognitive Neuroscience, 24(4), 965-974. https://doi.org/10.1162/jocn_a_00197 [details]
- van Well, S., Visser, R. M., Scholte, H. S., & Kindt, M. (2012). Neural substrates of individual differences in human fear learning: evidence from concurrent fMRI, fear-potentiated startle, and US-expectancy data. Cognitive Affective & Behavioral Neuroscience, 12(3), 499-512. https://doi.org/10.3758/s13415-012-0089-7 [details]
2011
- Jahfari, S., Waldorp, L., van den Wildenberg, W. P. M., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U. (2011). Effective connectivity reveals important roles for both the hyperdirect (fronto-subthalamic) and indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition. The Journal of Neuroscience, 31(18), 6891-6899. https://doi.org/10.1523/JNEUROSCI.5253-10.2011 [details]
- Jolij, J., Scholte, H. S., van Gaal, S., Hodgson, T. L., & Lamme, V. A. F. (2011). Act quickly, decide later: long-latency visual processing underlies perceptual decisions but not reflexive behavior. Journal of Cognitive Neuroscience, 23(12), 3734-3745. https://doi.org/10.1162/jocn_a_00034 [details]
- Kievit, R. A., Romeijn, J-W., Waldorp, L. J., Wicherts, J. M., Scholte, H. S., & Borsboom, D. (2011). Mind the gap: a psychometric approach to the reduction problem. Psychological Inquiry, 22(2), 67-87. https://doi.org/10.1080/1047840X.2011.550181 [details]
- Kievit, R. A., Romeijn, J-W., Waldorp, L. J., Wicherts, J. M., Scholte, H. S., & Borsboom, D. (2011). Modeling mind and matter: reductionism and psychological measurement in cognitive neuroscience. Psychological Inquiry, 22(2), 139-157. https://doi.org/10.1080/1047840X.2011.567962 [details]
- Rouw, R., Scholte, H. S., & Colizoli, O. (2011). Brain areas involved in synaesthesia: a review. Journal of Neuropsychology, 5(2), 214-242. https://doi.org/10.1111/j.1748-6653.2011.02006.x [details]
- Sligte, I. G., Wokke, M. E., Tesselaar, J. P., Scholte, H. S., & Lamme, V. A. F. (2011). Magnetic stimulation of the dorsolateral prefrontal cortex dissociates fragile visual short-term memory from visual working memory. Neuropsychologia, 49(6), 1578-1588. https://doi.org/10.1016/j.neuropsychologia.2010.12.010 [details]
- Visser, R. M., Scholte, H. S., & Kindt, M. (2011). Associative learning increases trial-by-trial similarity of BOLD-MRI patterns. The Journal of Neuroscience, 31(33), 12021-12028. https://doi.org/10.1523/JNEUROSCI.2178-11.2011 [details]
- Wokke, M. E., van Gaal, S., Scholte, H. S., Ridderinkhof, K. R., & Lamme, V. A. F. (2011). The flexible nature of unconsicous cognition. PLoS ONE, 6(9), Article e25729. https://doi.org/10.1371/journal.pone.0025729 [details]
- van Gaal, S., Scholte, H. S., Lamme, V. A. F., Fahrenfort, J. J., & Ridderinkhof, K. R. (2011). Pre-SMA gray-matter density predicts individual differences in action selection in the face of conscious and unconscious response conflict. Journal of Cognitive Neuroscience, 23(2), 382-390. https://doi.org/10.1162/jocn.2010.21444 [details]
2010
- Ghebreab, S., Smeulders, A. W. M., Scholte, H. S., & Lamme, V. A. F. (2010). A biologically plausible model for rapid natural scene identification. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), 23rd Annual Conference on Neural Information Processing Systems 2009: December 7-10, 2009, Vancouver, B.C., Canada (Vol. 1, pp. 629-637). (Advances in Neural Information Processing Systems; Vol. 22). Curran. https://papers.nips.cc/paper/3785-a-biologically-plausible-model-for-rapid-natural-scene-identification [details]
- Rouw, R., & Scholte, H. S. (2010). Neural basis of individual differences in synesthetic experiences. The Journal of Neuroscience, 30(18), 6205-6213. https://doi.org/10.1523/JNEUROSCI.3444-09.2010 [details]
- Sligte, I. G., Vandenbroucke, A. R. E., Scholte, H. S., & Lamme, V. A. F. (2010). Detailed sensory memory, sloppy working memory. Frontiers in Psychology, 1, Article 175. https://doi.org/10.3389/fpsyg.2010.00175 [details]
- van Gaal, S., Ridderinkhof, K. R., Scholte, H. S., & Lamme, V. A. F. (2010). Unconscious activation of the prefrontal no-go network. The Journal of Neuroscience, 30(11), 4143-4150. https://doi.org/10.1523/JNEUROSCI.2992-09.2010 [details]
2009
- Scholte, H. S., Ghebreab, S., Waldorp, L., Smeulders, A. W. M., & Lamme, V. A. F. (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9(4), Article 29. https://doi.org/10.1167/9.4.29 [details]
- Sligte, I. G., Scholte, H. S., & Lamme, V. A. F. (2009). V4 activity predicts the strength of visual short-term memory representations. The Journal of Neuroscience, 29(23), 7432-7438. https://doi.org/10.1523/JNEUROSCI.0784-09.2009 [details]
- Vandenbroucke, M. W. G., Scholte, H. S., van Engeland, H., Lamme, V. A. F., & Kemner, C. (2009). A new approach to the study of detail perception in Autism Spectrum Disorder (ASD): investigating visual feedforward, horizontal and feedback processing. Vision Research, 49(9), 1006-1016. https://doi.org/10.1016/j.visres.2007.12.017 [details]
2008
- Fahrenfort, J. J., Scholte, H. S., & Lamme, V. A. F. (2008). The spatiotemporal profile of cortical processing leading up to visual perception. Journal of Vision, 8(1), 1-12. https://doi.org/10.1167/8.1.12 [details]
- Forstmann, B. U., Jahfari, S., Scholte, H. S., Wolfensteller, U., van den Wildenberg, W. P. M., & Ridderinkhof, K. R. (2008). Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: a model-based approach. The Journal of Neuroscience, 28(39), 9790-9796. https://doi.org/10.1523/JNEUROSCI.1465-08.2008 [details]
- Scholte, H. S., Jolij, J., Fahrenfort, J. J., & Lamme, V. A. F. (2008). Feedforward and recurrent processing in scene segmentation: Electroencephalography and functional magnetic resonance imaging. Journal of Cognitive Neuroscience, 20(11), 2097-2109. https://doi.org/10.1162/jocn.2008.20142 [details]
- Sligte, I. G., Scholte, H. S., & Lamme, V. A. F. (2008). Are there multiple visual short-term memory stores? PLoS ONE, 3(2), Article e1699. https://doi.org/10.1371/journal.pone.0001699 [details]
- Vandenbroucke, M. W. G., Scholte, H. S., van Engeland, H., Lamme, V. A. F., & Kemner, C. (2008). A neural substrate for atypical low-level visual processing in autism spectrum disorder. Brain, 131, 1013-1024. https://doi.org/10.1093/brain/awm321 [details]
- Vandenbroucke, M. W. G., Scholte, H. S., van Engeland, H., Lamme, V. A. F., & Kemner, C. (2008). Coherent versus component motion perception in autism spectrum disorder. Journal of Autism and Development Disorders, 38(5), 941-949. https://doi.org/10.1007/s10803-007-0467-0 [details]
- van Gaal, S., Ridderinkhof, K. R., Fahrenfort, J. J., Scholte, H. S., & Lamme, V. A. F. (2008). Frontal cortex mediates unconsciously triggered inhibitory control. The Journal of Neuroscience, 28(32), 8053-8062. https://doi.org/10.1523/JNEUROSCI.1278-08.2008 [details]
- van Strien, N. M., Scholte, H. S., & Witter, M. P. (2008). Activation of the human medial temporal lobes by stereoscopic depth cues. NeuroImage, 40, 1815-1823. https://doi.org/10.1016/j.neuroimage.2008.01.046 [details]
2019
- Seijdel, N., Tsakmakidis, N., De Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2019). Depth in convolutional neural networks solves scene segmentation. (v1 ed.) BioRxiv. https://doi.org/10.1101/2019.12.16.877753 [details]
2018
- Prochazkova, E., Prochazkova, L., Giffin, M. R., Scholte, H. S., De Dreu, C. K. W., & Kret, M. E. (2018). Reply to Mathôt and Naber: Neuroimaging shows that pupil mimicry is a social phenomenon. Proceedings of the National Academy of Sciences of the United States of America, 115(50), E11566-E11567. https://doi.org/10.1073/pnas.1815545115 [details]
- Scholte, H. S. (2018). Fantastic DNimals and where to find them. NeuroImage, 180(A), 112-113. https://doi.org/10.1016/j.neuroimage.2017.12.077 [details]
2016
- Ramakrishnan, K., Scholte, H. S., Smeulders, A., & Ghebreab, S. (2016). Mapping human visual representations by deep neural networks. Journal of Vision, 16(12), Article 373. https://doi.org/10.1167/16.12.373 [details]
2013
- Groen, I., Ghebreab, S., Lamme, V., & Scholte, H. (2013). Two stages in the time-course of natural scene gist perception. Perception, 42(Suppl. 1), 161. https://journals.sagepub.com/toc/pec/42/1_suppl [details]
2014
- Sligte, I. G., van der Leij, A. R., Shapiro, K. R., & Scholte, H. S. (2014). A link between brain structure/connectivity and visual short-term memory capacity. Abstract from Vision Sciences Society 14th Annual Meeting, .
2013
- Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2013). Neural Dissimilarity of Scene Naturalness Maps Onto Low-Level Contrast Statistics. Abstract from 19th Annual Meeting of the Organization for Human Brain Mapping, Seattle, Washington, United States. http://www.science.uva.nl/research/publications/2013/GroenHBM2013
- Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2013). Two Stages in Scene Gist Perception. Abstract from 2013 Annual Meeting of the Vision Sciences Society, Naples, Florida, United States. http://www.science.uva.nl/research/publications/2013/GroenVSS2013
- van der Leij, A. R., Ridderinkhof, R., Waldorp, L., & Scholte, H. S. (2013). Efficiency of reaction and inhibition are associated with unique white matter network fingerprints in a large (N=950) sample representative of the Dutch population. Abstract from Society for Neuroscience 2013. http://www.abstractsonline.com/plan/ViewAbstract.aspx?cKey=92397d7e-317a-426b-aa45-a9cd0fb04ea9&mID=3236&mKey=8d2a5bec-4825-4cd6-9439-b42bb151d1cf&sKey=d437e33b-3e39-48f9-9a14-c91b98fbd28e
2012
- Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Man-Made or Natural? Tracking Neural Processing of Scene Gist Using Single-Trial EEG. http://www.science.uva.nl/research/publications/2012/GroenSN2012
2015
- Ramakrishnan, K., Scholte, S., Lamme, V., Smeulders, A., & Ghebreab, S. (2015). Convolutional Neural Networks in the Brain: an fMRI study. Journal of Vision, 15(12), Article 371. https://doi.org/10.1167/15.12.371
2014
- Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, S. (2014). Neural computation of scene gist with and without attention. Journal of Vision, 14(10), 884. https://doi.org/10.1167/14.10.884
- Jahfari, S., Waldorp, L. J., Ridderinkhof, K. R., & Scholte, H. S. (2014). Visual information shapes the dynamics of cortico-basal ganglia pathways during perceptual response selection and inhibition. Journal of Vision, 14(10), Article 308. https://doi.org/10.1167/14.10.308
- Scholte, H. S., & Ghebreab, S. (2014). Improving computational models of early visual cortex using single image ERP data. Journal of Vision, 14(10), 886. https://doi.org/10.1167/14.10.886
2013
- Jahfari, S., Ridderinkhof, K. R., Waldorp, L., & Scholte, H. S. (2013). The prefrontal cortex and higher sensory areas co-direct the basal ganglia to pass the most optimal response. Psychophysiology, 50(S1), S22. https://doi.org/10.1111/psyp.12119
2010
- Ghebreab, S., Scholte, H. S., Lamme, V., & Smeulders, A. (2010). Rapid Natural Image Identification Based on EEG Data and Global Scene Statistics. Journal of Vision, 10(7), 1394. https://doi.org/10.1167/10.7.1394
- Groen, I., Ghebreab, S., Lamme, V., & Scholte, H. S. (2010). The role of Weibull image statistics in rapid object detection in natural scenes. Journal of Vision, 10(7), 992. https://doi.org/10.1167/10.7.992
- Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to correlation structure of natural images. Journal of Vision, 10(7), 1363. https://doi.org/10.1167/10.7.1363
- Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to local correlation structure of natural images. Frontiers in Neuroscience, Conference abstract(Computational and Systems Neuroscience 2010). https://doi.org/10.3389/conf.fnins.2010.03.00162 [details]
Prijs / subsidie
- Rouw, R. & Scholte, S. (2010). "Faculty of 1000 Medicine".
2021
- Snoek, L., van der Miesen, M. M., Beemsterboer, T., van der Leij, A., Eigenhuis, A. & Steven Scholte, S. H. (2021). Metadata record for: The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses. Figshare. https://doi.org/10.6084/m9.figshare.13606946.v1
2020
- Sörensen, L. K. A., Zambrano, D., Slagter, H., Bohte, S. & Scholte, S. (16-12-2020). ModelAnalysis. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13386377.v1
- Sörensen, L. K. A., Zambrano, D., Slagter, H., Bohte, S. & Scholte, S. (16-12-2020). ModelTraining. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13386395.v1
- Sörensen, L. K. A., Zambrano, D., Slagter, H., Bohte, S. & Scholte, S. (16-12-2020). ModelEvaluation. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13385471.v1
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Neursensics BV
Müller, N., Groen, I. I. A., & Scholte, H. S. (2023). Pre-Training on High-Quality Natural Image Data Reduces DCNN Texture Bias. In CCN : Conference on Cognitive Computational Neuroscience: Oxford, UK, August 24-27, 2023 (pp. 371-374). CCN.