Skip to content

Commit

Permalink
add preprint
Browse files Browse the repository at this point in the history
  • Loading branch information
@Tijl
Tijl committed Oct 10, 2023
1 parent 5468dac commit 7c1425d
Show file tree
Hide file tree
Showing 4 changed files with 22 additions and 17 deletions.
36 changes: 19 additions & 17 deletions cv.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -233,37 +233,39 @@ <h2 class="heading">
Preprints
</div>

<p>33. <strong>Grootswagers T</strong>. (2023). Minimal condition repetitions required in rapid serial visual presentation decoding paradigms. <i>biorxiv</i>, 2023.05.30.542960 <a target="_blank" href="https://doi.org/10.1101/2023.05.30.542960">https://doi.org/10.1101/2023.05.30.542960</a></p>
<p>33. Scrivener C.L., <strong>Grootswagers T</strong>., Woolgar A. (2023). Optimising analysis choices for multivariate decoding: creating pseudotrials using trial averaging and resampling. <i>biorxiv</i>, 2023.10.04.560678 <a target="_blank" href="https://doi.org/10.1101/2023.10.04.560678">https://doi.org/10.1101/2023.10.04.560678</a></p>

<p>34. <strong>Grootswagers T</strong>., Robinson A.K., Shatek S.M., Carlson T.A. (2023). Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration. <i>biorxiv</i>, 2023.04.26.538486 <a target="_blank" href="https://doi.org/10.1101/2023.04.26.538486">https://doi.org/10.1101/2023.04.26.538486</a></p>
<p>34. <strong>Grootswagers T</strong>. (2023). Minimal condition repetitions required in rapid serial visual presentation decoding paradigms. <i>biorxiv</i>, 2023.05.30.542960 <a target="_blank" href="https://doi.org/10.1101/2023.05.30.542960">https://doi.org/10.1101/2023.05.30.542960</a></p>

<p>35. Koenig-Robert R., Quek G., <strong>Grootswagers T</strong>., Varlet M. (2023). Movement trajectories as a window into the dynamics of emerging neural representations. <i>biorxiv</i>, 2023.03.15.532848 <a target="_blank" href="https://doi.org/10.1101/2023.03.15.532848">https://doi.org/10.1101/2023.03.15.532848</a></p>
<p>35. <strong>Grootswagers T</strong>., Robinson A.K., Shatek S.M., Carlson T.A. (2023). Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration. <i>biorxiv</i>, 2023.04.26.538486 <a target="_blank" href="https://doi.org/10.1101/2023.04.26.538486">https://doi.org/10.1101/2023.04.26.538486</a></p>

<p>36. Moerel D., <strong>Grootswagers T</strong>., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. <i>PsyArXiv</i>, wp73u <a target="_blank" href="https://doi.org/10.31234/osf.io/wp73u">https://doi.org/10.31234/osf.io/wp73u</a></p>
<p>36. Koenig-Robert R., Quek G., <strong>Grootswagers T</strong>., Varlet M. (2023). Movement trajectories as a window into the dynamics of emerging neural representations. <i>biorxiv</i>, 2023.03.15.532848 <a target="_blank" href="https://doi.org/10.1101/2023.03.15.532848">https://doi.org/10.1101/2023.03.15.532848</a></p>

<p>37. Tovar D.A., <strong>Grootswagers T</strong>., 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. <i>biorxiv</i>, 2021.08.22.451834 <a target="_blank" href="https://doi.org/10.1101/2021.08.22.451834">https://doi.org/10.1101/2021.08.22.451834</a></p>
<p>37. Moerel D., <strong>Grootswagers T</strong>., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. <i>PsyArXiv</i>, wp73u <a target="_blank" href="https://doi.org/10.31234/osf.io/wp73u">https://doi.org/10.31234/osf.io/wp73u</a></p>

<p>38. Whyte C.J., Robinson A.K., <strong>Grootswagers T</strong>., Hogendoorn H., Carlson T.A. (2020). Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. <i>biorxiv</i>, 032888 <a target="_blank" href="https://doi.org/10.1101/2020.04.08.032888">https://doi.org/10.1101/2020.04.08.032888</a></p>
<p>38. Tovar D.A., <strong>Grootswagers T</strong>., 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. <i>biorxiv</i>, 2021.08.22.451834 <a target="_blank" href="https://doi.org/10.1101/2021.08.22.451834">https://doi.org/10.1101/2021.08.22.451834</a></p>

<p>39. Carlson T., <strong>Grootswagers T</strong>., Robinson A.K. (2019). An introduction to time-resolved decoding analysis for M/EEG. <i>arxiv</i>, 1905.04820 <a target="_blank" href="https://arxiv.org/abs/1905.04820">https://arxiv.org/abs/1905.04820</a></p>
<p>39. Whyte C.J., Robinson A.K., <strong>Grootswagers T</strong>., Hogendoorn H., Carlson T.A. (2020). Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. <i>biorxiv</i>, 032888 <a target="_blank" href="https://doi.org/10.1101/2020.04.08.032888">https://doi.org/10.1101/2020.04.08.032888</a></p>

<p>40. Carlson T., <strong>Grootswagers T</strong>., Robinson A.K. (2019). An introduction to time-resolved decoding analysis for M/EEG. <i>arxiv</i>, 1905.04820 <a target="_blank" href="https://arxiv.org/abs/1905.04820">https://arxiv.org/abs/1905.04820</a></p>

<div class="year">
Published conference proceedings
</div>
<p>40. <strong>Grootswagers T</strong>, 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: <i>INTERSPEECH</i>. 3201-3205.</p>
<p>41. Gerke P, Langevoort J, Lagarde S, Bax L, <strong>Grootswagers T</strong>, Drenth R, Slieker V, Vuurpijl L, Haselager W, Sprinkhuizen-Kuyper I (2011). BioMAV: bio-inspired intelligence for autonomous flight. In: <i>Proceedings International Micro Air Vehicle Conference and Flight Competition</i>.</p>
<p>41. <strong>Grootswagers T</strong>, 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: <i>INTERSPEECH</i>. 3201-3205.</p>
<p>42. Gerke P, Langevoort J, Lagarde S, Bax L, <strong>Grootswagers T</strong>, Drenth R, Slieker V, Vuurpijl L, Haselager W, Sprinkhuizen-Kuyper I (2011). BioMAV: bio-inspired intelligence for autonomous flight. In: <i>Proceedings International Micro Air Vehicle Conference and Flight Competition</i>.</p>

<div class="year">
Published conference abstracts
</div>
<p>42. <strong>Grootswagers T</strong>, Robinson A, Shatek S, Carlson T (2022). The time course of visual feature coding in the human brain. <i>Perception</i>, 51, 360-360.</p>
<p>43. Johnson P, <strong>Grootswagers T</strong>, Moran C, Hogendoorn H (2021) Temporal dynamics of visual population receptive fields. <i>Perception</i>, 50, 48-48</p>
<p>44. Robinson A, <strong>Grootswagers T</strong>, Shatek S, Behrmann M, Carlson, T (2020). The temporal dynamics of information integration within and across the hemispheres. <i>Journal of Vision</i>, 20(11), 1016-1016.</p>
<p>45. Tovar D, <strong>Grootswagers T</strong>, Robinson A, Wallace M, Carlson T (2019). Optimizing the Number of Visual Presentations for Time-Resolved Decoding Studies. <i>Perception</i>, 48, 134-134.</p>
<p>46. Teichmann L, <strong>Grootswagers T</strong>, Carlson T, Rich A (2018). Tomatoes are red, cucumbers are green: Decoding the temporal dynamics of object-colour knowledge using Magnetoencephalography. <i>Journal of Vision</i>, 18(10), 861-861.</p>
<p>47. <strong>Grootswagers T</strong>, Cichy R, Carlson T (2016). Predicting behavior from decoded searchlight representations shows where decodable information relates to behavior. <i>Perception</i>, 45, 360-360.</p>
<p>48. Contini E, Williams M, Grootswagers T</strong>, Goddard E, Carlson T (2016). Dichotomy Versus Continuum: Evidence for a More Complex Agency Model of Visual Object Categorisation. <i>Journal of Vision</i>, 16(12), 252- 252.</p>
<p>49. <strong>Grootswagers T</strong>, Carlson T (2015). Decoding the emerging representation of degraded visual objects in the human brain. <i>Journal of Vision</i>, 15(12), 1087-1087.</p>
<p>43. <strong>Grootswagers T</strong>, Robinson A, Shatek S, Carlson T (2022). The time course of visual feature coding in the human brain. <i>Perception</i>, 51, 360-360.</p>
<p>44. Johnson P, <strong>Grootswagers T</strong>, Moran C, Hogendoorn H (2021) Temporal dynamics of visual population receptive fields. <i>Perception</i>, 50, 48-48</p>
<p>45. Robinson A, <strong>Grootswagers T</strong>, Shatek S, Behrmann M, Carlson, T (2020). The temporal dynamics of information integration within and across the hemispheres. <i>Journal of Vision</i>, 20(11), 1016-1016.</p>
<p>46. Tovar D, <strong>Grootswagers T</strong>, Robinson A, Wallace M, Carlson T (2019). Optimizing the Number of Visual Presentations for Time-Resolved Decoding Studies. <i>Perception</i>, 48, 134-134.</p>
<p>47. Teichmann L, <strong>Grootswagers T</strong>, Carlson T, Rich A (2018). Tomatoes are red, cucumbers are green: Decoding the temporal dynamics of object-colour knowledge using Magnetoencephalography. <i>Journal of Vision</i>, 18(10), 861-861.</p>
<p>48. <strong>Grootswagers T</strong>, Cichy R, Carlson T (2016). Predicting behavior from decoded searchlight representations shows where decodable information relates to behavior. <i>Perception</i>, 45, 360-360.</p>
<p>49. Contini E, Williams M, Grootswagers T</strong>, Goddard E, Carlson T (2016). Dichotomy Versus Continuum: Evidence for a More Complex Agency Model of Visual Object Categorisation. <i>Journal of Vision</i>, 16(12), 252- 252.</p>
<p>50. <strong>Grootswagers T</strong>, Carlson T (2015). Decoding the emerging representation of degraded visual objects in the human brain. <i>Journal of Vision</i>, 15(12), 1087-1087.</p>

<h2 class="heading">
Conference presentations (presenting author)
Expand Down
2 changes: 2 additions & 0 deletions index.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,8 @@ <h2 class="heading">
preprints
</div>

<p>Scrivener C.L., Grootswagers T., Woolgar A. (2023). Optimising analysis choices for multivariate decoding: creating pseudotrials using trial averaging and resampling. <i>biorxiv</i>, 2023.10.04.560678 <a target="_blank" class="doilink" href="https://doi.org/10.1101/2023.10.04.560678">[doi]</a><a target="_blank" class="pdflink" href="tijl-grootswagers-pdf/Scrivener_et_al_-_2023_-_Optimising_analysis_choices_for_multivariate_decod.pdf"> [pdf]</a> <a target="_blank" href="https://osf.io/hjf75/">[code]</a></p>

<p>Grootswagers T. (2023). Minimal condition repetitions required in rapid serial visual presentation decoding paradigms. <i>biorxiv</i>, 2023.05.30.542960 <a target="_blank" class="doilink" href="https://doi.org/10.1101/2023.05.30.542960">[doi]</a><a target="_blank" class="pdflink" href="tijl-grootswagers-pdf/Grootswagers_-_2023_-_Minimal_condition_repetitions_required_in_rapid_se.pdf"> [pdf]</a> <a target="_blank" href="https://github.com/Tijl/RSVP-repetitions-test">[data+code]</a></p>

<p>Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2023). Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration. <i>biorxiv</i>, 2023.04.26.538486 <a target="_blank" class="doilink" href="https://doi.org/10.1101/2023.04.26.538486">[doi]</a><a target="_blank" class="pdflink" href="tijl-grootswagers-pdf/Grootswagers_et_al_-_2023_-_Mapping_the_Dynamics_of_Visual_Feature_Coding_Ins.pdf"> [pdf]</a> <a target="_blank" href="https://github.com/Tijl/features-eeg">[data+code]</a></p>
Expand Down
1 change: 1 addition & 0 deletions publicationlist.csv
View file
Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
year authors title journal volume+pages doi links
preprint2023 Scrivener C.L., Grootswagers T., Woolgar A. Optimising analysis choices for multivariate decoding: creating pseudotrials using trial averaging and resampling biorxiv 2023.10.04.560678 https://doi.org/10.1101/2023.10.04.560678 [code][https://osf.io/hjf75/]
2023 Sharabas D., Varlet M., Grootswagers T. An online browser-based attentional blink replication using visual objects PLoS ONE 18(8) e0289623 https://doi.org/10.1371/journal.pone.0289623 [data+code][https://osf.io/atjpe/]
2023 Hoang, Q.T., Yong, K.-T., Liu, X., Mahony, D., Chaitarvornkit, A., Cohen, A., Grootswagers, T. 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
preprint2023 Grootswagers T. 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 [data+code][https://github.com/Tijl/RSVP-repetitions-test]
Expand Down
Binary file added ...agers-pdf/Scrivener_et_al_-_2023_-_Optimising_analysis_choices_for_multivariate_decod.pdf
View file
Binary file not shown.

0 comments on commit 7c1425d

Please sign in to comment.