diff --git a/cv.html b/cv.html index 5f3181e..0cfc93a 100644 --- a/cv.html +++ b/cv.html @@ -160,63 +160,65 @@
2. Shatek S.M., Robinson A.K., Grootswagers T., Carlson T.A. (2022). Capacity for movement is an organisational principle in object representations. NeuroImage, 119517 https://doi.org/10.1016/j.neuroimage.2022.119517
+2. Hoang, Q.T., Yong, K.-T., Liu, X., Mahony, D., Chaitarvornkit, A., Cohen, A., Grootswagers, T. (2023). Detecting mild traumatic brain injury for athletes using SSVEP classification: A case study. Biomedical Signal Processing and Control, 86, 105274. https://doi.org/10.1016/j.bspc.2023.105274
-3. Moshel M., Robinson A.K., Carlson T.A., Grootswagers T. (2022). Are you for real? Decoding realistic AI-generated faces from neural activity. Vision Research, 108079 https://doi.org/10.1016/j.visres.2022.108079
+3. Shatek S.M., Robinson A.K., Grootswagers T., Carlson T.A. (2022). Capacity for movement is an organisational principle in object representations. NeuroImage, 119517 https://doi.org/10.1016/j.neuroimage.2022.119517
-4. Grootswagers T., McKay H., Varlet M. (2022). Unique Contributions of Perceptual and Conceptual Humanness to Object Representations in the Human Brain. NeuroImage, 119350 https://doi.org/10.1016/j.neuroimage.2022.119350
+4. Moshel M., Robinson A.K., Carlson T.A., Grootswagers T. (2022). Are you for real? Decoding realistic AI-generated faces from neural activity. Vision Research, 108079 https://doi.org/10.1016/j.visres.2022.108079
-5. Moerel D., Grootswagers T., Robinson A.K., Shatek S.M., Woolgar A., Carlson T.A., Rich A.N. (2022). The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes. Scientific Reports, 12, 6968 https://doi.org/10.1038/s41598-022-10687-x
+5. Grootswagers T., McKay H., Varlet M. (2022). Unique Contributions of Perceptual and Conceptual Humanness to Object Representations in the Human Brain. NeuroImage, 119350 https://doi.org/10.1016/j.neuroimage.2022.119350
-6. Teichmann L., Moerel D., Baker C.I., Grootswagers T. (2022). An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding. Aperture Neuro, 1 (8) 1-10 https://www.doi.org/10.52294/82179f90-eeb9-4933-adbe-c2a454577289
+6. Moerel D., Grootswagers T., Robinson A.K., Shatek S.M., Woolgar A., Carlson T.A., Rich A.N. (2022). The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes. Scientific Reports, 12, 6968 https://doi.org/10.1038/s41598-022-10687-x
-7. Grootswagers T., Zhou I., Robinson A.K., Hebart M.N., Carlson T.A. (2022). Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams. Sci Data, 9 (3) https://doi.org/10.1038/s41597-021-01102-7
+7. Teichmann L., Moerel D., Baker C.I., Grootswagers T. (2022). An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding. Aperture Neuro, 1 (8) 1-10 https://www.doi.org/10.52294/82179f90-eeb9-4933-adbe-c2a454577289
-8. Levitis E.*, Gould van Praag C.D.*, Gau R.*, Heunis S.*, ..., Grootswagers T., ..., Maumet C. (110 authors) (2021). Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective. GigaScience, 10 (8) https://doi.org/10.1093/gigascience/giab051
+8. Grootswagers T., Zhou I., Robinson A.K., Hebart M.N., Carlson T.A. (2022). Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams. Sci Data, 9 (3) https://doi.org/10.1038/s41597-021-01102-7
-9. Grootswagers T., Robinson A.K. (2021). Overfitting the Literature to One Set of Stimuli and Data. Frontiers in Human Neuroscience, 15:682661 https://doi.org/10.3389/fnhum.2021.682661
+9. Levitis E.*, Gould van Praag C.D.*, Gau R.*, Heunis S.*, ..., Grootswagers T., ..., Maumet C. (110 authors) (2021). Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective. GigaScience, 10 (8) https://doi.org/10.1093/gigascience/giab051
-10. Teichmann L., Grootswagers T., Moerel D., Carlson T.A., Rich A.N. (2021). Temporal dissociation of neural activity underlying synaesthetic and perceptual colours. Proceedings of the National Academy of Sciences, 118 (6) https://doi.org/10.1073/pnas.2020434118
+10. Grootswagers T., Robinson A.K. (2021). Overfitting the Literature to One Set of Stimuli and Data. Frontiers in Human Neuroscience, 15:682661 https://doi.org/10.3389/fnhum.2021.682661
-11. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2021). The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data Analysis, and Theory, 5(1) https://doi.org/10.51628/001c.21174
+11. Teichmann L., Grootswagers T., Moerel D., Carlson T.A., Rich A.N. (2021). Temporal dissociation of neural activity underlying synaesthetic and perceptual colours. Proceedings of the National Academy of Sciences, 118 (6) https://doi.org/10.1073/pnas.2020434118
-12. Robinson A.K., Grootswagers T., Shatek S.M., Gerboni J., Holcombe, A.O., Carlson T.A. (2021). Overlapping neural representations for the position of visible and invisible objects. Neurons, Behaviour, Data Analysis, and Theory, 4(1) https://doi.org/10.51628/001c.19129
+12. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2021). The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data Analysis, and Theory, 5(1) https://doi.org/10.51628/001c.21174
-13. Teichmann L., Quek G.L., Robinson A.K., Grootswagers T., Carlson T.A., Rich A.N. (2020). The Influence of Object-Color Knowledge on Emerging Object Representations in the Brain. The Journal of Neuroscience, 40 (35), 6779-6789 https://doi.org/10.1523/JNEUROSCI.0158-20.2020
+13. Robinson A.K., Grootswagers T., Shatek S.M., Gerboni J., Holcombe, A.O., Carlson T.A. (2021). Overlapping neural representations for the position of visible and invisible objects. Neurons, Behaviour, Data Analysis, and Theory, 4(1) https://doi.org/10.51628/001c.19129
-14. Petit S., Badcock N.A., Grootswagers T., Rich A.N., Brock J., Nickels L., Moerel D., Dermody N., Yau S., Schmidt E., Woolgar A. (2020). Toward an Individualized Neural Assessment of Receptive Language in Children. Journal of Speech, Language, and Hearing Research, 63 (7), 2361-2385 https://doi.org/10.1044/2020_JSLHR-19-00313
+14. Teichmann L., Quek G.L., Robinson A.K., Grootswagers T., Carlson T.A., Rich A.N. (2020). The Influence of Object-Color Knowledge on Emerging Object Representations in the Brain. The Journal of Neuroscience, 40 (35), 6779-6789 https://doi.org/10.1523/JNEUROSCI.0158-20.2020
-15. Petit S., Badcock N.A., Grootswagers T., Woolgar A. (2020). Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. Scientific Reports, 10, 10849 https://doi.org/10.1038/s41598-020-67407-6
+15. Petit S., Badcock N.A., Grootswagers T., Rich A.N., Brock J., Nickels L., Moerel D., Dermody N., Yau S., Schmidt E., Woolgar A. (2020). Toward an Individualized Neural Assessment of Receptive Language in Children. Journal of Speech, Language, and Hearing Research, 63 (7), 2361-2385 https://doi.org/10.1044/2020_JSLHR-19-00313
-16. Grootswagers T. (2020). A primer on running human behavioural experiments online. Behavior Research Methods https://doi.org/10.3758/s13428-020-01395-3
+16. Petit S., Badcock N.A., Grootswagers T., Woolgar A. (2020). Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. Scientific Reports, 10, 10849 https://doi.org/10.1038/s41598-020-67407-6
-17. Contini E.W., Goddard E., Grootswagers T., Williams M., Carlson T.A. (2020). A humanness dimension to visual object coding in the brain. NeuroImage, 117139 https://doi.org/10.1016/j.neuroimage.2020.117139
+17. Grootswagers T. (2020). A primer on running human behavioural experiments online. Behavior Research Methods https://doi.org/10.3758/s13428-020-01395-3
-18. Shatek S.M., Grootswagers T., Robinson A.K., Carlson T.A. (2019). Decoding images in the mind's eye: The temporal dynamics of visual imagery. Vision, 3 (4), 53 https://doi.org/10.3390/vision3040053
+18. Contini E.W., Goddard E., Grootswagers T., Williams M., Carlson T.A. (2020). A humanness dimension to visual object coding in the brain. NeuroImage, 117139 https://doi.org/10.1016/j.neuroimage.2020.117139
-19. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2019). Untangling featural and conceptual object representations. NeuroImage, 202, 116083 https://doi.org/10.1016/j.neuroimage.2019.116083
+19. Shatek S.M., Grootswagers T., Robinson A.K., Carlson T.A. (2019). Decoding images in the mind's eye: The temporal dynamics of visual imagery. Vision, 3 (4), 53 https://doi.org/10.3390/vision3040053
-20. Teichmann L., Grootswagers T., Carlson T.A., Rich A.N. (2019). Seeing versus Knowing: The Temporal Dynamics of Real and Implied Colour Processing in the Human Brain. NeuroImage, 200, 373-381 https://doi.org/10.1016/j.neuroimage.2019.06.062
+20. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2019). Untangling featural and conceptual object representations. NeuroImage, 202, 116083 https://doi.org/10.1016/j.neuroimage.2019.116083
-21. Robinson A.K.*, Grootswagers T.*, Carlson T.A. (2019). The influence of image masking on object representations during rapid serial visual presentation. NeuroImage, 197, 224-231 https://doi.org/10.1016/j.neuroimage.2019.04.050
+21. Teichmann L., Grootswagers T., Carlson T.A., Rich A.N. (2019). Seeing versus Knowing: The Temporal Dynamics of Real and Implied Colour Processing in the Human Brain. NeuroImage, 200, 373-381 https://doi.org/10.1016/j.neuroimage.2019.06.062
-22. Mai A., Grootswagers T., Carlson T.A. (2019). In Search of Consciousness: Examining the Temporal Dynamics of Conscious Visual Perception using MEG time-series data. Neuropsychologia, 129, 310-317 https://doi.org/10.1016/j.neuropsychologia.2019.04.015
+22. Robinson A.K.*, Grootswagers T.*, Carlson T.A. (2019). The influence of image masking on object representations during rapid serial visual presentation. NeuroImage, 197, 224-231 https://doi.org/10.1016/j.neuroimage.2019.04.050
-23. Grootswagers T.*, Robinson A.K.*, Carlson T.A. (2019). The representational dynamics of visual objects in rapid serial visual processing streams. NeuroImage, 188, 668-679 https://doi.org/10.1016/j.neuroimage.2018.12.046
+23. Mai A., Grootswagers T., Carlson T.A. (2019). In Search of Consciousness: Examining the Temporal Dynamics of Conscious Visual Perception using MEG time-series data. Neuropsychologia, 129, 310-317 https://doi.org/10.1016/j.neuropsychologia.2019.04.015
-24. Grootswagers T., Cichy R.M., Carlson T.A. (2018). Finding decodable information that can be read out in behaviour. NeuroImage, 179, 252-262 https://doi.org/10.1016/j.neuroimage.2018.06.022
+24. Grootswagers T.*, Robinson A.K.*, Carlson T.A. (2019). The representational dynamics of visual objects in rapid serial visual processing streams. NeuroImage, 188, 668-679 https://doi.org/10.1016/j.neuroimage.2018.12.046
-25. Teichmann L., Grootswagers T., Carlson T.A., Rich A.N. (2018). Decoding digits and dice with Magnetoencephalography: Evidence for a shared representation of magnitude. Journal of Cognitive Neuroscience, 30 (7), 999-1010 https://doi.org/10.1162/jocn_a_01257
+25. Grootswagers T., Cichy R.M., Carlson T.A. (2018). Finding decodable information that can be read out in behaviour. NeuroImage, 179, 252-262 https://doi.org/10.1016/j.neuroimage.2018.06.022
-26. Grootswagers T.*, Kennedy B.L.*, Most S.L., Carlson T.A. (2017). Neural signatures of dynamic emotion constructs in the human brain. Neuropsychologia https://doi.org/10.1016/j.neuropsychologia.2017.10.016
+26. Teichmann L., Grootswagers T., Carlson T.A., Rich A.N. (2018). Decoding digits and dice with Magnetoencephalography: Evidence for a shared representation of magnitude. Journal of Cognitive Neuroscience, 30 (7), 999-1010 https://doi.org/10.1162/jocn_a_01257
-27. Grootswagers T., Wardle S.G., Carlson T.A. (2017). Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data. Journal of Cognitive Neuroscience, 29(4), 677-697 https://doi.org/10.1162/jocn_a_01068
+27. Grootswagers T.*, Kennedy B.L.*, Most S.L., Carlson T.A. (2017). Neural signatures of dynamic emotion constructs in the human brain. Neuropsychologia https://doi.org/10.1016/j.neuropsychologia.2017.10.016
-28. Grootswagers T., Ritchie J.B., Wardle S.G., Heathcote A., Carlson T.A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995-2010 https://doi.org/10.1162/jocn_a_01177
+28. Grootswagers T., Wardle S.G., Carlson T.A. (2017). Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data. Journal of Cognitive Neuroscience, 29(4), 677-697 https://doi.org/10.1162/jocn_a_01068
-29. de Wit B., Badcock N.A., Grootswagers T., Hardwick K., Teichmann L., Wehrman J., Williams M., Kaplan D.M. (2017). Neurogaming technology meets neuroscience education: A cost-effective, scalable, and highly portable undergraduate teaching laboratory for neuroscience. Journal of Undergraduate Neuroscience Education, 15(2), A104-A109 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480837/
+29. Grootswagers T., Ritchie J.B., Wardle S.G., Heathcote A., Carlson T.A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995-2010 https://doi.org/10.1162/jocn_a_01177
-30. Wardle S.G., Kriegeskorte N., Grootswagers T., Khaligh-Razavi S., Carlson T.A. (2016). Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG. NeuroImage, 132, 59-70 https://doi.org/10.1016/j.neuroimage.2016.02.019
+30. de Wit B., Badcock N.A., Grootswagers T., Hardwick K., Teichmann L., Wehrman J., Williams M., Kaplan D.M. (2017). Neurogaming technology meets neuroscience education: A cost-effective, scalable, and highly portable undergraduate teaching laboratory for neuroscience. Journal of Undergraduate Neuroscience Education, 15(2), A104-A109 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480837/
+ +31. Wardle S.G., Kriegeskorte N., Grootswagers T., Khaligh-Razavi S., Carlson T.A. (2016). Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG. NeuroImage, 132, 59-70 https://doi.org/10.1016/j.neuroimage.2016.02.019
31. Grootswagers T. (2023). Minimal condition repetitions required in rapid serial visual presentation decoding paradigms. biorxiv, 2023.05.30.542960 https://doi.org/10.1101/2023.05.30.542960
+32. Grootswagers T. (2023). Minimal condition repetitions required in rapid serial visual presentation decoding paradigms. biorxiv, 2023.05.30.542960 https://doi.org/10.1101/2023.05.30.542960
-32. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2023). Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration. biorxiv, 2023.04.26.538486 https://doi.org/10.1101/2023.04.26.538486
+33. Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2023). Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration. biorxiv, 2023.04.26.538486 https://doi.org/10.1101/2023.04.26.538486
-33. Koenig-Robert R., Quek G., Grootswagers T., Varlet M. (2023). Movement trajectories as a window into the dynamics of emerging neural representations. biorxiv, 2023.03.15.532848 https://doi.org/10.1101/2023.03.15.532848
+34. Koenig-Robert R., Quek G., Grootswagers T., Varlet M. (2023). Movement trajectories as a window into the dynamics of emerging neural representations. biorxiv, 2023.03.15.532848 https://doi.org/10.1101/2023.03.15.532848
-34. Moerel D., Grootswagers T., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. PsyArXiv, wp73u https://doi.org/10.31234/osf.io/wp73u
+35. Moerel D., Grootswagers T., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. PsyArXiv, wp73u https://doi.org/10.31234/osf.io/wp73u
-35. Tovar D.A., Grootswagers T., Jun J., Cha O., Blake R., Wallace M.T. (2021). Getting the gist faster: Blurry images enhance the early temporal similarity between neural signals and convolutional neural networks. biorxiv, 2021.08.22.451834 https://doi.org/10.1101/2021.08.22.451834
+36. Tovar D.A., Grootswagers T., Jun J., Cha O., Blake R., Wallace M.T. (2021). Getting the gist faster: Blurry images enhance the early temporal similarity between neural signals and convolutional neural networks. biorxiv, 2021.08.22.451834 https://doi.org/10.1101/2021.08.22.451834
-36. Whyte C.J., Robinson A.K., Grootswagers T., Hogendoorn H., Carlson T.A. (2020). Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. biorxiv, 032888 https://doi.org/10.1101/2020.04.08.032888
+37. Whyte C.J., Robinson A.K., Grootswagers T., Hogendoorn H., Carlson T.A. (2020). Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. biorxiv, 032888 https://doi.org/10.1101/2020.04.08.032888
-37. Carlson T., Grootswagers T., Robinson A.K. (2019). An introduction to time-resolved decoding analysis for M/EEG. arxiv, 1905.04820 https://arxiv.org/abs/1905.04820
+38. Carlson T., Grootswagers T., Robinson A.K. (2019). An introduction to time-resolved decoding analysis for M/EEG. arxiv, 1905.04820 https://arxiv.org/abs/1905.04820
38. Grootswagers T, Dijkstra K, ten Bosch L, Brandmeyer A, Sadakata M (2013). Word identification using phonetic features: towards a method to support multivariate fMRI speech decoding. In: INTERSPEECH. 3201-3205.
-39. Gerke P, Langevoort J, Lagarde S, Bax L, Grootswagers T, Drenth R, Slieker V, Vuurpijl L, Haselager W, Sprinkhuizen-Kuyper I (2011). BioMAV: bio-inspired intelligence for autonomous flight. In: Proceedings International Micro Air Vehicle Conference and Flight Competition.
+39. Grootswagers T, Dijkstra K, ten Bosch L, Brandmeyer A, Sadakata M (2013). Word identification using phonetic features: towards a method to support multivariate fMRI speech decoding. In: INTERSPEECH. 3201-3205.
+40. Gerke P, Langevoort J, Lagarde S, Bax L, Grootswagers T, Drenth R, Slieker V, Vuurpijl L, Haselager W, Sprinkhuizen-Kuyper I (2011). BioMAV: bio-inspired intelligence for autonomous flight. In: Proceedings International Micro Air Vehicle Conference and Flight Competition.
40. Grootswagers T, Robinson A, Shatek S, Carlson T (2022). The time course of visual feature coding in the human brain. Perception, 51, 360-360.
-41. Johnson P, Grootswagers T, Moran C, Hogendoorn H (2021) Temporal dynamics of visual population receptive fields. Perception, 50, 48-48
-42. Robinson A, Grootswagers T, Shatek S, Behrmann M, Carlson, T (2020). The temporal dynamics of information integration within and across the hemispheres. Journal of Vision, 20(11), 1016-1016.
-43. Tovar D, Grootswagers T, Robinson A, Wallace M, Carlson T (2019). Optimizing the Number of Visual Presentations for Time-Resolved Decoding Studies. Perception, 48, 134-134.
-44. Teichmann L, Grootswagers T, Carlson T, Rich A (2018). Tomatoes are red, cucumbers are green: Decoding the temporal dynamics of object-colour knowledge using Magnetoencephalography. Journal of Vision, 18(10), 861-861.
-45. Grootswagers T, Cichy R, Carlson T (2016). Predicting behavior from decoded searchlight representations shows where decodable information relates to behavior. Perception, 45, 360-360.
-46. Contini E, Williams M, Grootswagers T, Goddard E, Carlson T (2016). Dichotomy Versus Continuum: Evidence for a More Complex Agency Model of Visual Object Categorisation. Journal of Vision, 16(12), 252- 252.
-47. Grootswagers T, Carlson T (2015). Decoding the emerging representation of degraded visual objects in the human brain. Journal of Vision, 15(12), 1087-1087.
+41. Grootswagers T, Robinson A, Shatek S, Carlson T (2022). The time course of visual feature coding in the human brain. Perception, 51, 360-360.
+42. Johnson P, Grootswagers T, Moran C, Hogendoorn H (2021) Temporal dynamics of visual population receptive fields. Perception, 50, 48-48
+43. Robinson A, Grootswagers T, Shatek S, Behrmann M, Carlson, T (2020). The temporal dynamics of information integration within and across the hemispheres. Journal of Vision, 20(11), 1016-1016.
+44. Tovar D, Grootswagers T, Robinson A, Wallace M, Carlson T (2019). Optimizing the Number of Visual Presentations for Time-Resolved Decoding Studies. Perception, 48, 134-134.
+45. Teichmann L, Grootswagers T, Carlson T, Rich A (2018). Tomatoes are red, cucumbers are green: Decoding the temporal dynamics of object-colour knowledge using Magnetoencephalography. Journal of Vision, 18(10), 861-861.
+46. Grootswagers T, Cichy R, Carlson T (2016). Predicting behavior from decoded searchlight representations shows where decodable information relates to behavior. Perception, 45, 360-360.
+47. Contini E, Williams M, Grootswagers T, Goddard E, Carlson T (2016). Dichotomy Versus Continuum: Evidence for a More Complex Agency Model of Visual Object Categorisation. Journal of Vision, 16(12), 252- 252.
+48. Grootswagers T, Carlson T (2015). Decoding the emerging representation of degraded visual objects in the human brain. Journal of Vision, 15(12), 1087-1087.
Carlson T., Grootswagers T., Robinson A.K. (2019). An introduction to time-resolved decoding analysis for M/EEG. arxiv, 1905.04820 [doi] [pdf]
+Hoang, Q.T., Yong, K.-T., Liu, X., Mahony, D., Chaitarvornkit, A., Cohen, A., Grootswagers, T. (2023). Detecting mild traumatic brain injury for athletes using SSVEP classification: A case study. Biomedical Signal Processing and Control, 86, 105274. [doi] [pdf]
+