dr. M.K. (Marieke) van Vugt

Assistant Professor in Cognitive Modeling

Research

Postal address:
Nijenborgh9
Gebouw 5161, ruimte 0326
9747 AG
Groningen
Netherlands
Phone: +31 50 363 9487Fax: +31 50 363 6687
  1. 2020
  2. van Vugt, M. K., Pollock, J., Johnson, B., Gyatso, K., Norbu, N., Lodroe, T., ... Fresco, D. M. (2020). Inter-brain Synchronization in the Practice of Tibetan Monastic Debate. Mindfulness. https://doi.org/10.1007/s12671-020-01338-1
  3. 2019
  4. van Vugt, M. (2019). Using reason to meditate: initial findings about the effects of analytical meditation on brain and behavior. Abstract from Landelijk Mindfulness Symposium, Nijmegen, Netherlands.
  5. van Vugt, M. K., Moye, A., Pollock, J., Johnson, B., Bonn-Miller, M. O., Gyatso, K., ... Fresco, D. M. (2019). Tibetan Buddhist monastic debate: Psychological and neuroscientific analysis of a reasoning-based analytical meditation practice. In Imagining the Brain: Episodes in the History of Brain Research (Vol. 244, pp. 233-253). (Progress in brain research). Elsevier. https://doi.org/10.1016/bs.pbr.2018.10.018
  6. Vugt, M. V. (2019). Mindfulness as a Potential Tool for Productivity. In C. Sadowski, & T. Zimmermann (Eds.), Rethinking Productivity in Software Engineering (pp. 293-302). (Rethinking Productivity in Software Engineering). Apress. https://doi.org/10.1007/978-1-4842-4221-6_25
  7. Vugt, M. V. (2019). Using Biometric Sensors to Measure Productivity. In C. Sadowski , & T. Zimmermann (Eds.), Rethinking Productivity in Software Engineering (pp. 159-167). (Rethinking Productivity in Software Engineering). Berkeley, CA: Apress. https://doi.org/10.1007/978-1-4842-4221-6_14
  8. 2018
  9. van der Velde, M., van Vugt, M., & Taatgen, N. (2018). Modelling the Effect of Depression on Working Memory. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 200). Madison, WI: University of Wisconsin.
  10. 2017
  11. van Vugt, M., Brandt, A., & Schulze-Bonhage, A. (2017). Tracking Perceptual and Memory Decisions by Decoding Brain Activity. In BIAS 2017 preproceedings (pp. 76-85). University of Groningen.
  12. Huijser, S., Taatgen, N., & van Vugt, M. (2017). Distracted in a Demanding Task: A Classification Study with Artificial Neural Networks. In B. Verheij, & M. Wiering (Eds.), Proceedings of BNAIC 2017 (pp. 199-212). University of Groningen.
  13. Moye, A. S., & van Vugt, M. (2017). A computational model of focused attention meditation and its transfer to a sustained attention task. In M. K. van Vugt, A. P. Banks, & W. G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 43-48). Coventry, UK: University of Warwick, Inclusive Technology Ltd.
  14. van der Velde, M., & ESM-MERGE Investigators (2017). How does rumination impact cognition? A first mechanistic model. In M. van Vugt, A. P. Banks, & W. G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 25-30). Coventry, UK: University of Warwick, Inclusive Technology Ltd.
  15. van Vugt, M. (2017). Getting Stuck on Myself: The Cognitive Processes Underlying Mental Suffering. In S. Menon, N. Nagaraj, & V. V. Binoy (Eds.), Self, Culture and Consciousness (pp. 319-333). Springer. https://doi.org/10.1007/978-981-10-5777-9_19
  16. 2016
  17. 2015
  18. Taatgen, N., Katidioti, I., Borst, J., & van Vugt, M. (2015). A Model of Distraction using new Architectural Mechanisms to Manage Multiple Goals. In N. Taatgen, M. van Vugt, J. Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling (pp. 264-269). Groningen, The Netherlands: University of Groningen.
  19. van Vugt, M. K. (2015). Cognitive benefits of mindfulness meditation. In K. W. Brown, J. D. Creswell, & R. M. Ryan (Eds.), Handbook of Mindfulness: Theory, Research, and Practice Guilford Press.
  20. van Vugt, M., Taatgen, N., Sackur, J., & Bastian, M. (2015). Modeling mind-wandering: a tool to better understand distraction. In N. Taatgen, M. van Vugt, J. Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling. (pp. 252). Groningen: University of Groningen.
  21. 2014
  22. Provost, A. L., Turner, B., van Vugt, M., Johnson, B., & Heathcote, A. (2014). Simultaneously modeling the cognitive and neural mechanisms involving different types of expertise in mental rotation. In International Conference on Cognitive Neuroscience Brisbane . https://doi.org/10.3389/conf.fnhum.2015.217.00082
  23. 2013
  24. van Vugt, M. K. (2013). Towards a dynamical view of ACT-R's electrophysiological correlates. In R. West, & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling
  25. 2012
  26. van Vugt, M. K. (2012). Relating ACT-R buffer activation to EEG activity during an attentional blink task. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.), 11th International Conference on Cognitive Modeling - ICCM2012 Universitaetsverlag der TU Berlin.
  27. 2011
  28. van Vugt, M. K., Simen, P., & Cohen, J. D. (2011). Finding neural correlates of drift diffusion processes in EEG oscillations. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2439-2444). Austin, TX: Cognitive Science Society.
  29. van Vugt, M. K., Simen, P., & Cohen, J. D. (2011). Trial-by-trial adaptation of decision making performance - a model-based EEG analysis. In J. Özyurt, A. Anschütz, S. Bernholt, & J. Lenk (Eds.), Interdisciplinary Perspectives on Cognition, Education, and the Brain. (Vol. 7, pp. 139-148). (Hanse Studies). Oldenburg: BIS.
  30. 2010
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