| Year |
Citation |
Score |
| 2023 |
Snoek L, Jack RE, Schyns PG, Garrod OGB, Mittenbühler M, Chen C, Oosterwijk S, Scholte HS. Testing, explaining, and exploring models of facial expressions of emotions. Science Advances. 9: eabq8421. PMID 36763663 DOI: 10.1126/sciadv.abq8421 |
0.514 |
|
| 2022 |
Loke J, Seijdel N, Snoek L, van der Meer M, van de Klundert R, Quispel E, Cappaert N, Scholte HS. A Critical Test of Deep Convolutional Neural Networks' Ability to Capture Recurrent Processing in the Brain Using Visual Masking. Journal of Cognitive Neuroscience. 1-16. PMID 36122352 DOI: 10.1162/jocn_a_01914 |
0.358 |
|
| 2020 |
Oosterwijk S, Snoek L, Tekoppele J, Engelbert LH, Scholte HS. Choosing to view morbid information involves reward circuitry. Scientific Reports. 10: 15291. PMID 32943668 DOI: 10.1038/S41598-020-71662-Y |
0.517 |
|
| 2019 |
Snoek L, Miletić S, Scholte HS. How to control for confounds in decoding analyses of neuroimaging data. Neuroimage. 184: 741-760. PMID 30268846 DOI: 10.1016/J.Neuroimage.2018.09.074 |
0.485 |
|
| 2017 |
Oosterwijk S, Snoek L, Rotteveel M, Barrett LF, Scholte HS. Shared States: Using MVPA to test neural overlap between self-focused emotion imagery and other-focused emotion understanding. Social Cognitive and Affective Neuroscience. PMID 28475756 DOI: 10.1093/Scan/Nsx037 |
0.532 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2022 |
Schyns PG, Snoek L, Daube C. Degrees of algorithmic equivalence between the brain and its DNN models. Trends in Cognitive Sciences. 26: 1090-1102. PMID 36216674 DOI: 10.1016/j.tics.2022.09.003 |
0.299 |
|
| 2023 |
Schyns PG, Snoek L, Daube C. Stimulus models test hypotheses in brains and DNNs. Trends in Cognitive Sciences. PMID 36635180 DOI: 10.1016/j.tics.2022.12.003 |
0.277 |
|
| 2022 |
Ridderinkhof KR, Snoek L, Savelsbergh G, Cousijn J, van Campen AD. Action Intentions, Predictive Processing, and Mind Reading: Turning Goalkeepers Into Penalty Killers. Frontiers in Human Neuroscience. 15: 789817. PMID 35126073 DOI: 10.3389/fnhum.2021.789817 |
0.233 |
|
| 2018 |
van Mourik T, Snoek L, Knapen T, Norris DG. Porcupine: A visual pipeline tool for neuroimaging analysis. Plos Computational Biology. 14: e1006064. PMID 29746461 DOI: 10.1371/Journal.Pcbi.1006064 |
0.159 |
|
| 2021 |
Snoek L, van der Miesen MM, Beemsterboer T, van der Leij A, Eigenhuis A, Steven Scholte H. The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses. Scientific Data. 8: 85. PMID 33741990 DOI: 10.1038/s41597-021-00870-6 |
0.12 |
|
| 2020 |
Hoogeveen S, Snoek L, van Elk M. Religious belief and cognitive conflict sensitivity: A preregistered fMRI study. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 129: 247-265. PMID 32535377 DOI: 10.1016/j.cortex.2020.04.011 |
0.12 |
|
| 2019 |
van Elk M, Snoek L. The relationship between individual differences in gray matter volume and religiosity and mystical experiences: A preregistered voxel-based morphometry study. The European Journal of Neuroscience. 51: 850-865. PMID 31465601 DOI: 10.1111/ejn.14563 |
0.12 |
|
| Hide low-probability matches. |