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Publications

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Open Access Policy. 

Books

Turner, B. M., Forstmann, B. U. & Steyvers, M. 2017. Simultaneous modeling of neural and behavioral data. New York: Springer.

Forstmann, B. U. & Wagenmakers, E.-J. (Eds.) 2015. An introduction to model-based cognitive neuroscience. New York: Springer. 

2018

pdficon smallHawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (in press). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology.

pdficon smallTurner, B. M., Miletic, S., & Forstmann, B. U. (in press). Outlook on Deep Neural Networks in Computational Cognitive Neuroscience. NeuroImage. 

2017

pdficon smallForstmann, B. U., de Hollander, G., van Maanen, L., Alkemade, A., & Keuken, M. C. (2017). Towards a mechanistic understanding of the human subcortex. Nature Reviews Neuroscience, 18, 57-65.

pdficon smallForstmann, B. U., Isaacs, B. R., & Temel, Y. (2017). Ultra-High Field MRI Guided Deep Brain Stimulation. Trends in Biotechnology, 35, 904-907.

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 Salzer, Y., de Hollander, G., & Forstmann, B. U. (2017). Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach. Neuroscience & Biobehavioral Reviews, 77, 48-57.

pdficon smallTona, K.-D., Keuken, M. C., de Rover, M., Lakke, E., Forstmann, B. U., Nieuwenhuis, S., & van Osch, M. J. P. (2017). In vivo visualization of the locus coeruleus in humans: Quantifying the test-retest reliability. Brain Structure and Function, 1-15.

pdficon smallAlkemade, A., de Hollander, G., Keuken, M. C., Schaefer, A., Ott, D., Schwarz, J., Weise, D., Kotz, S. A., & Forstmann, B. U. (2017). Comparison of T2* and QSM contrasts in Parkinson’s disease to visualize the STN with MRI. PLoS ONE, 12(4):e0176130.

pdficon smallBoekel, W., Forstmann, B. U., & Keuken, M. C. (2017). A test-retest reliability analysis of diffusion measures of white matter tracts relevant for cognitive control. Psychophysiology, 54, 24-33.

pdficon smallForstmann, B. U., & Alkemade, A. (2017). The Neuroanatomy and Neurochemistry of Response Inhibition. In T. Egner (Ed.). The Wiley Handbook of Cognitive Control. John Wiley & Sons, 274-291.

pdficon smallTurner, B. M., Forstmann, B. U., Love, B. C., Palmeri, T. J., & van Maanen, L. (2017). Approaches of Analysis in Model-based Cognitive Neuroscience. Journal of Mathematical Psychology, 76, 65-79.

pdficon smallde Hollander, G., Keuken, M. C., van der Zwaag, W., Forstmann, B. U., & Trampel, R. (2017). Comparing Functional MRI Protocols for Small, Iron-Rich Basal Ganglia Nuclei Such as the Subthalamic Nucleus at 7 T and 3 T. Human Brain Mapping, 38, 3226-3248.

pdficon smallHawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology.

pdficon smallKeuken, M. C., Bazin, P.-L., Beekhuizen, S., Himmer, L., Kandola, A., Lafeber, J. J., Prochazkova, L., Trutti, A., Schaefer, A., Turner, R., & Forstmann, B. U. (2017). Effects of aging on T1, T2*, and QSM MRI values in the subcortex. Brain Structure & Function, 222, 2487-2505.

pdficon smallKeuken, M. C., Ly, A., Boekel, W. E., Wagenmakers, E.-J., Belay, L., Verhagen, A. J., Brown, S. D.,& Forstmann, B. U. (2017). Corrigendum for: A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 93, 229-233.

pdficon smallMiletic, S., Turner, B. M., Forstmann, B. U., & van Maanen, L. (2017). Parameter recovery for the leaky competing accumulator model. Journal of Mathematical Psychology, 76, 25-50. 

2016

pdficon smallChambers, C. D., Forstmann, B. U., & Pruszynski, J. (2016). Registered Reports at the European Journal of Neuroscience: Consolidating and extending peer-reviewed study pre-registration. European Journal of Neuroscience, doi: 10.1111/ejn.13519.

pdficon smallLy, A., Boehm, U., Heathcote, A., Turner, B. M., Forstmann, B. U., Marsman, M., & Matzke, D. (2016). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. Computational Models of Brain and Behavior. John Wiley and Sons.

pdficon smallWinkel, J., Hawkins, G. E., Ivry, R. B., Brown, S. D., Cools, R., & Forstmann, B. U. (2016). Focal striatum lesions impair cautiousness in humans. Cortex, 85, 37-45.

pdficon smallForstmann, B. U., Keuken, M. C., & Alkemade, A. (2016). The Next Step for Imaging the Subthalamic Nucleus. Brain.

pdficon smallAron, A., Herz, D., Brown, P., Forstmann, B. U., & Zaghloul, K. (2016). Fronto-Subthalamic Circuits for Control of Action and Cognition. The Journal of Neuroscience, 36, 11489-11495.

pdficon smallKeuken, M. C., Schaefer, A., & Forstmann, B. U. (2016). Can We Rely on Susceptibility-Weighted Imaging (SWI) for Subthalamic Nucleus Identification in Deep Brain Stimulation Surgery? Neurosurgery, 79, e945-e946.

pdficon smallvan Maanen, L., Fontanesi, L., Hawkins, G. E., & Forstmann, B. U. (2016). Striatal activation reflects urgency in perceptual decision-making. NeuroImage, 139, 294-303.

pdficon smallVisser, E., Keuken, M. C., Forstmann, B. U., & Jenkinson, M. (2016). Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7T data at young and old age. NeuroImage, 139, 324-336.

pdficon smallMittner, M., Hawkins, G. E., Boekel, W., & Forstmann, B. U. (2016). A neural model of mind wandering. Trends in Cognitive Sciences, 20, 570-578.

pdficon smallde Hollander, G., Labruna, L., Sellaro, R., Trutti, A., Colzato, L., Ratcliff, R., Ivry, R., & Forstmann, B. U. (2016). Transcranial direct current stimulation does not influence the speed-accuracy tradeoff in perceptual decision-making: Evidence from three independent replication studies. Journal of Cognitive Neuroscience, 7, 1-12.

pdficon smallde Hollander, G., Forstmann, B. U., & Brown, S. D. (2016). Different ways of linking behavioral and neural data via computational cognitive models. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, 101-109.

pdficon smallde Hollander, G. (2016). Combining computational models of cognition and neural data to learn about mixed task strategies. The Journal of Neuroscience, 36(1), 1-3.

pdficon smallForstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2016). Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions. Annual Review of Psychology, 67, 641-666.

pdficon smallBoekel, W., Forstmann, B. U., & Wagenmakers, E.-J. (2016). Challenges in replicating brain-behavior correlations: Rejoinder to Kanai (2015) and Muhlert and Ridgway (2015). Cortex, 74, 348-352.

pdficon smallKarayanidis, F., Keuken, M. C., Wong, A. S., Rennie, J., L., de Hollander, G., Cooper, P. S., Fulham, W. R., Lenroot, R. Parsons, M. W., Philips, N., Mitchie, P. T., Forstmann, B. U. (2016). The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository. NeuroImage, 124(B), 1137-1142.

pdficon smallten Kulve, J., van Bloemendaal, L., Balesar, R. A., IJzerman, R., Swaab, D. F., Diamant, M., ... Alkemade, J. M. (2016). Decreased Hypothalamic Glucagon-Like Peptide-1 Receptor Expression in Type 2 Diabetes Patients. Journal of clinical endocrinology and metabolism101(5), 2122-2129. DOI: 10.1210/jc.2015-3291 [details]

pdficon smallGayet, S., van Maanen, L., Heilbron, M., Paffen, C. L. E., & van der Stigchel, S. (2016). Visual input that matches the content of visual working memory requires less (not faster) evidence sampling to reach conscious accessJournal of Vision16, 1-20. [details]

pdficon smallvan Maanen, L. (2016). Is there evidence for a mixture of processes in speed-accuracy trade-off behavior? Topics in Cognitive Science8(1), 279-290. DOI: 10.1111/tops.12182 [details]

pdficon smallvan Maanen, L., Couto, J., & Lebreton, M. P. (2016). Three boundary conditions for computing the fixed-point property in binary mixture data. PLoS One[details]

pdficon smallAnders, R., Alario, F-X., & van Maanen, L. (2016). The shifted Wald distribution for response time data analysis. Psychological Methods21, 309-327. DOI: 10.1037/met0000066 [details]

pdficon smallvan Rijn, H., Borst, J., Taatgen, N. A., & van Maanen, L. (2016). On the Necessity of Integrating Multiple Levels of Abstraction in a Single Computational FrameworkCurrent Opinion in Behavioral Sciences11, 116-120. [details]

 

2015

pdficon smallForstmann, B. U., Keuken, M. C. & Alkemade, A. (2015). An introduction to human brain anatomy. In B. U. Forstmann, & E.-J. Wagenmakers (Eds). An introduction to Model-Based Cognitive Neuroscience. Springer: New York.

pdficon smallVisser, E., Keuken, M. C., Douaud, G., Gaura, V., Bachoud-Levi, A.-C., Remy, P., Forstmann, B. U., & Jenkinson, M. (2015). Automatic segmentation of the striatum and globus pallidus using MIST: multimodal image segmentation tool. NeuroImage, 125, 479-497.

pdficon smallBoonstra, E., De Kleijn, R., Colzato, L.S., Alkemade, A., Forstmann, B.U., & Nieuwenhuis. S. (2015). Neurotransmitters as food supplements: the effects of GABA on brain and behavior. Frontiers in Psychology, 6, 1520.

pdficon smallHawkins, G.E., Mittner, M., Boekel, W., Heathcote, A., Forstmann, B.U. (2015). Toward a model-based cognitive neuroscience of mind wandering. Neuroscience, 310, 290-305.

pdficon smallKeuken, M. C., van Maanen, L., Bogacz, R., Schaefer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2015). The subthalamic nucleus during decision-making with multiple alternatives. Human Brain Mapping, 36, 10, 4041–4052.

pdficon smallKeuken, M. C., & Forstmann, B. U. (2015). A probabilistic atlas of the basal ganglia using 7T MRI. Data in Brief, 4, 577-582.

pdficon smallWeiss, M., Alkemade, A., Keuken, M. C., Mueller-Axt, C., Geyer, S., Turner, R., & Forstmann, B. U. (2015). Spatial normalization of ultra-high resolution 7 Tesla Magnetic Resonance Imaging data of the postmortem human subthalamic nucleus- a multi-stage approach. Brain Structure and Function, 220, 1695-1703.

pdficon smallAlkemade, A., Schnitzler, A., & Forstmann, B. U. (2015). Topographic organization of the human and non-human primate subthalamic nucleus. Brain Structure and Function, 220, 3075–3086.

pdficon smallde Hollander, G., Keuken, M. C., & Forstmann, B. U. (2015). The subcortical cocktail problem: mixed signals from the subthalamic nucleus and substantia nigra. PLoS ONE, 1, 18.

pdficon smallvan Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2015). The impact of MRI scanner environment on perceptual decision making. Behavior Research Methods, 1-17.

pdficon smallTurner, B. M., van Maanen, L., & Forstmann, B. U. (2015). Combining Cognitive Abstractions with Neurophysiology: The Neural Drift Diffusion Model. Psychological Review, 122, 312-336.

pdficon smallHawkins, G. E., (2015). Friend or foe? Perceptual categorization across species. The Journal of Neuroscience, 35, 871-872.

pdficon smallHawkins, G. E., Forstmann, B. U., Wagenmakers, E.-J., Ratcliff, R., & Brown, S. D. (2015). Revisiting the Evidence of Collapsing Boundaries and Urgency Signals in Perceptual Decision-Making. The Journal of Neuroscience, 35, 2476-2484.

pdficon smallBoekel, W., Wagenmakers, E.-J., Belay, L., Verhagen, A. J., Brown, S. D., & Forstmann, B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 66, 115-133.

pdficon smallvan Maanen, L., Turner, B. M., & Forstmann, B. U. (2015). From model-based decision-making to perceptual interference control. Current Opinion in Behavioral Sciences, 1, 72-77.

pdficon smallAlkemade, J. M. (2015). Thyroid hormone and the developing hypothalamus. Frontiers in Neuroanatomy. DOI: 10.3389/fnana.2015.00015. Review. [details]

pdficon smallvan Maanen, L. (2015). Speed-accuracy trade-off behavior: Response caution adjustment or mixing task strategies? In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015: 13th International Conference on Cognitive Modeling. (pp. 214-219). Groningen: University of Groningen. [details] [PDF]

pdficon smallAnders, R., Alario, F-X., & van Maanen, L. (2015). A measurement tool for response time distributions, with direct correspondence to accumulation modeling. In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015: 13th International Conference on Cognitive Modeling. (pp. 220-225). Groningen: University of Groningen. [details] [PDF]

pdficon smallAnders, R., Riès, S., van Maanen, L., & Alario, F-X. (2015). Evidence accumulation as a model for lexical selection. Cognitive Psychology82, 57-73. DOI: 10.1016/j.cogpsych.2015.07.002 [details]

2014

pdficon smallForstmann, B. U., Keuken, M. C., Schaefer, A., Bazin, P.-L., Alkemade, A., & Turner, R. (2014). Multi-modal ultra-high resolution structural 7-Tesla MRI data repository. Scientific Data, 1, 140050.

pdficon smallde Hollander, G., Wagenmakers, E.-J., Waldorp, L., & Forstmann, B. U. (2014). An antidote to the imager's fallacy, or how to identify brain areas that are in limbo. PLoS ONE, 9, e115700.

pdficon smallMittner, M., Boekel, W., Tucker, A., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. The Journal of Neuroscience, 34, 16286-16295.

pdficon smallMulder, M. (2014). The temporal dynamics of evidence accumulation in the brain. The Journal of Neuroscience, 34, 13870-13871. 

pdficon smallMulder, M., van Maanen, L., & Forstmann, B. U. (2014). Perceptual decision neurosciences - A model-based review. Neuroscience, 277, 872-884.

pdficon smallvan Ravenzwaaij, D., Boekel, W., Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2014). Action Video Games Do No Improve the Speed of Information Processing in Simple Perceptual Tasks. Journal of Experimental Psychology: General, 143, 1794-805.

pdficon smallKeuken, M. C., Mueller-Axt, C., Langner, R., Eickhoff, S. B., Forstmann, B. U., & Neumann, J. (2014). Brain networks of perceptual decision-making: An fMRI ALE meta-analysis. Frontiers in Human Neuroscience, 8, 445.

pdficon smallAlkemade, A., & Forstmann, B. U.  (2014). Do we need to revise the tripartite subdivision hypothesis of the human subthalamic nucleus (STN)? NeuroImage, 95, 326-329.  

pdficon smallLambert, C., Zrinzo, L., Nagy, Z., Lutti, A., Hariz, M., Foltynie, T., Draganski, B., Ashburner, J., & Frackowiak, R. (2015). Do we need to revise the tripartite subdivision hypothesis of the subthalamic nucleus (STN)? Response to Alkemade and Forstmann. NeuroImage, 110, 1-2.

pdficon smallBoehm, U., van Maanen, L., Forstmann, B. U., &  van Rijn, H. (2014). Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustments of response caution. NeuroImage, 96, 95-105.

pdficon smallKeuken, M. C., Bazin, P.-L., Crown, L., Hootsmanns, J., Laufer, A., Mueller-Axt, C., Sier, R., van der Putten, E. J., Schaefer, A., Turner, R., & Forstmann, B. U. (2014). Quantifying Inter-Individual Anatomical Variability in the Subcortex using 7T Structural MRI. NeuroImage, 94, 40-46.

pdficon smallde Hollander, G., Keuken, M. C., Bazin, P.-L., Weiss, M., Neumann, J., Reimann, K., Waehnert, K., Turner, R., Forstmann, B. U., & Schaefer, A. (2014). A gradual increase of iron towards the medial-inferior tip of the Subthalamic Nucleus. Human Brain Mapping, 35, 4440-4449.

pdficon smallWinkel, J., Keuken, M. C., van Maanen, L., Wagenmakers, E.-J., & Forstmann, B. U. (2014). Early evidence affects later decisions: Why evidence accumulation is required to explain reaction time data. Psychonomic Bulletin & Review, 21, 777-784.

pdficon smallMulder, M J., Boekel, W., Ratcliff, R., & Forstmann, B. U. (2014). Cortico-subthalamic connection predicts sensitivity to reward in perceptual decision-making. Brain Structure and Function, 219, 1239-1249.

pdficon smallWagenmakers, E.-J., & Forstmann, B. U. (2014). Rewarding high-power replication research. Cortex, 51, 105-106.

pdficon smallBorgers, A. J., Koopman, K. E., Bisschop, P. H., Serlie, M. J., Swaab, D. F., Fliers, E., ... Alkemade, A. (2014). Decreased serotonin transporter immunoreactivity in the human hypothalamic infundibular nucleus of overweight subjects. Frontiers in Neuroscience8, 106. [106]. DOI: 10.3389/fnins.2014.00106 [details] [PDF]

pdficon smallBorgers, A. J., van den Born, B-J. H., Alkemade, A., Eeftinck Schattenkerk, D. W., van Lieshout, J. J., Wesseling, K. H., ... Westerhof, B. E. (2014). Determinants of vascular and cardiac baroreflex sensitivity values in a random population sample. Medical & Biological Engineering & Computing52(1), 65-73. DOI: 10.1007/s11517-013-1111-0 [details]

pdficon smallGirault, E. M., Guigas, B., Alkemade, A., Foppen, E., Ackermans, M. T., la Fleur, S. E., ... Kalsbeek, A. (2014). Chronic treatment with olanzapine increases adiposity by changing fuel substrate and causes desensitization of the acute metabolic side effects. Naunyn-Schmiedeberg's Archives of Pharmacology387(2), 185-195. DOI: 10.1007/s00210-013-0933-5 [details]

pdficon smallvan Maanen, L., de Jong, R., & van Rijn, H. (2014). How to assess the existence of competing strategies in cognitive tasks: a primer on the fixed-point property. PLoS One9(8), e106113. [e106113]. DOI: 10.1371/journal.pone.0106113 [details] [PDF]

pdficon smallDonkin, C., & van Maanen, L. (2014). Piéron's Law is not just an artifact of the response mechanism. Journal of Mathematical Psychology62-63, 22-32. DOI: 10.1016/j.jmp.2014.09.006 [details]

2013

pdficon smallAlkemade, A., Keuken, M. C., & Forstmann, B. U. (2013). A perspective on terra incognita: uncovering the neuroanatomy of the human subcortex. Frontiers in Neuroanatomy, 7, 40.

pdficon smallMittner, M. B. (2013). Functional integration of large-scale brain networks. The Journal of Neuroscience, 33, 18710-19711.

pdficon smallAlkemade, A. (2013). Subdivisions and anatomical boundaries of the subthalamic nucleus. The Journal of Neuroscience, 33, 9233-9234.

pdficon smallKeuken, M. C., Bazin, P.-L., Schaefer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2013). Ultra-high 7T MRI of structural age-related changes of the Subthalamic Nucleus. The Journal of Neuroscience, 33, 4896-4900.

pdficon smallMulder, M J., Keuken, M. C., van Maanen, L., Boekel, W., Forstmann, B. U., & Wagenmakers, E.-J., (2013). The speed and accuracy of a perceptual decision in a random-tones pitch task. Attention, Perception & Psychophysics, 75, 1048-1058.

pdficon smallTurner, B. M., Forstmann, B. U., Wagenmakers, E.-J., Brown, S., Sederberg, S. B., & Steyvers, M. (2013). A bayesian framework of simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206.

pdficon smallForstmann, B. U., & Wagenmakers, E.-J. (in press). Model-based cognitive neuroscience: A conceptual introduction. In B. U. Forstmann, & E.-J. Wagenmakers (Eds). An introduction to Model-Based Cognitive Neuroscience. Springer: New York.

pdficon smallDutilh, G., Forstmann, B. U., Vanderkerckhove, J., & Wagenmakers, E.-J. (2013). A diffusion model account of age differences in post-error slowing.Psychology and Aging, 28, 64-76.

pdficon smallBorgers, A. J., Fliers, E., Siljee, J. E., Swaab, D. F., van Someren, E. J. W., Bisschop, P. H., & Alkemade, A. (2013). Arginine vasopressin immunoreactivity is decreased in the hypothalamic suprachiasmatic nucleus of subjects with suprasellar tumors. Brain Pathology23(4), 440-444. DOI: 10.1111/bpa.12016 [details]

pdficon smallBorgers, A. J., Alkemade, A., van de Giessen, E. M., Drent, M. L., Booij, J., Bisschop, P. H., & Fliers, E. (2013). Imaging of serotonin transporters with [123I]FP-CIT SPECT in the human hypothalamus. EJNMMI Research3, 34. [34]. DOI: 10.1186/2191-219X-1-34 [details] [PDF]

pdficon smallMittag, J., Lyons, D. J., Sällström, J., Vujoviv, M., Dudazy-Gralla, S., Warner, A., ... Vennström, B. (2013). Thyroid hormone is required for hypothalamic neurons regulating cardiovascular functions. The journal of clinical investigation123(1), 509-516. DOI: 10.1172/JCI65252 [details]

pdficon smallSiljee, J. E., Unmehopa, U. A., Kalsbeek, A., Swaab, D. F., Fliers, E., & Alkemade, A. (2013). Melanocortin 4 receptor distribution in the human hypothalamus. European journal of endocrinology168(3), 361-369. DOI: 10.1530/EJE-12-0750 [details]

pdficon smallMulder, M. J., & van Maanen, L. (2013). Are accuracy and reaction time affected via different processes? PLoS One8(11), e80222. [e80222]. DOI: 10.1371/journal.pone.0080222 [details] [PDF]

2012

pdficon smallWinkel, J., van Maanen, L., Ratcliff, R., van der Schaaf, M. E., van Schouwenburg, M. R., Cools, R. & Forstmann, B. U. (2012). Bromocriptine does not alter the speed-accuracy tradeoff. Frontiers in Decision Neuroscience, 6, 126.

pdficon smallJahfari, S., Verbruggen, F., Frank, M. J., Waldorp, L, Colzato, L, Ridderinkhof, K. R., & Forstmann, B. U. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature responses. The Journal of Neuroscience, 32, 10870-10878.

pdficon smallHo, T., Brown, S., van Maanen, L., Forstmann, B. U., Wagenmakers, E.-J., & Serences, J. T. (2012). The optimality of sensory processing during the speed-accuracy tradeoff. The Journal of Neuroscience, 32, 7992-8003.

pdficon smallKeuken, M. C., Uylings, H. B. M., Geyer, S., Schäfer, A., Turner, R., & Forstmann, B. U. (2012). Are there three subdivisions in the primate subthalamic nucleus? Frontiers in Neuroanatomy, 6, 14.

pdficon smallMulder, M. J., Wagenmakers, E.-J., Ratcliff, R., Boekel, W., & Forstmann, B. U. (2012). Bias in the brain: A diffusion model analysis of prior probability and potential payoff. The Journal of Neuroscience, 32, 2335-2343.

pdficon smallvan Maanen, L., Grassman, R. P. P. P., Forstmann, B. U., Keuken, M. C., Brown, S. & Wagenmakers, E.-J. (2012). Similarity and number of alternatives in the random dot motion paradigm. Attention, Perception & Psychophysics, 74, 739-753.

pdficon smallForstmann, B. U., Keuken, M. C., Jahfari, S., Bazin, P.-L., Neumann, J., Schaefer, A., Anwander, A., & Turner, R. (2012). Cortico-subthalamic white matter tract strength predict interindividual efficacy in stopping a motor response. NeuroImage, 60, 370-375.*

* Note that the reported STN probability maps are freely available in FSL and can also be found here: http://www.nitrc.org/projects/atag/

pdficon smallvan Maanen, L., Grassman, R. P. P. P., Forstmann, B. U., & Wagenmakers, E.-J. (2012). Pieron's law and optimal behaviour in perceptual decision making. Frontiers in Decision Neuroscience, 5, 143.

pdficon smallWinkel, J., Wijnen, J. Danielmeier, C., Groen, I., Derrfuss, J., Ridderinkhof, K. R., & Forstmann, B. U. (2012). Observed and self-experienced conflict induce similar behavioral and neural adaptation. Social Neuroscience, 7, 385-397.

pdficon smallDutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E.-J., (2012). Testing theories of post-error slowing. Attention, Perception & Psychophysics, 72, 454-465.

pdficon smallSchafer, A., Forstmann, B. U., Neumann, J., Wharton, S., Mietke, A., Bowtell, R., & Turner, R. (2012). Direct Visualization of the Subthalamic Nucleus and its Iron Distribution using High-Resolution Susceptibility Mapping. Human Brain Mapping, 33, 2831-2842.

pdficon smallDutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E.-J. (2012). How to measure post-error slowing - A confound and a simple solution. The Journal of Mathematical Psychology, 56, 208-2016.

pdficon smallvan Maanen, L., van Rijn, H., & Taatgen, N. (2012). RACE/A: An architectural account of the interactions between learning, task control, and retrieval dynamics. Cognitive Science36(1), 62-101. DOI: 10.1111/j.1551-6709.2011.01213.x [details]

2011

pdficon smallForstmann, B. U., Tittgemeyer, M., Wagenmakers, E.-J., Derrfuss, J., Imperati, D., & Brown. S. (2011). The speed-accuracy tradeoff in the elderly brain: A structural model-based approach. The Journal of Neuroscience, 31, 177242-177249.

pdficon smallvan Maanen, L., Brown, S., Eichele, T., Wagenmakers, E.-J., Ho, T., Serences, J., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. The Journal of Neuroscience, 31, 17488-17495.

pdficon smallKrypotos, A.-M., Jahfari, S., van Ast., V., Kindt, M., & Forstmann, B. U. (2011). Individual differences in heart rate variability predict the degree of slowing during response inhibition and initiation in the presence of emotional stimuli. Frontiers in Cognition, 2, 278. 

pdficon smallMansfield, E. L., Karayanidis, F., Jamadar, S., Heathcote, A., & Forstmann, B. U. (2011). Adjustments of response threshold during task switching: A model-based  fMRI study. The Journal of Neuroscience, 12, 14688-14692.

pdficon smallNieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E.-J. (2011). Erroneous analyses of interactions in neuroscience: A problem of significance. Nature  Neuroscience 14, 1105-1107.

pdficon smallForstmann, B. U., Wagenmakers, E.-J., Eichele, T., Brown, S., & Serences, J. (2011). Reciprocal Relations Between Cognitive Neuroscience and Cognitive Models: Opposites Attract?  Trends in  Cognitive Sciences, 6, 272-279.

pdficon smallJahfari, 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 the indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition . The Journal of Neuroscience, 31, 6891-6899.*

*For more information about 'Effective connectivity using ancestral graph theory' please download:

pdficon smallWaldorp, L., Christoffels, I., & van de Ven, V. (2011). Effective connectivity of fMRI data using ancestral graph theory: Dealing with missing regions. NeuroImage, 54, 2695–2705.

pdficon smallHarsay, H., Cohen, M. X.,  Oosterhof, N., Forstmann, B. U., Mars, R., & Ridderinkhof, K. R. (2011). Functional connectivity of the striatum links motivation to action control in humans. The Journal of Neuroscience, 31, 10701-10711.

pdficon smallDanielmeier, C., Eichele, T., Forstmann, B. U., Tittgemeyer, M., & Ullsperger, M. (2011). Posterior medial frontal cortex activity predicts post-error adaptations in task-related visual and motor areas. The Journal of Neuroscience, 31, 1780-1789.

2010

pdficon smallVan den Wildenberg, W. P. M., Wylie, S. A., Forstmann, B. U., Burle, B., Hasbroucq, T., & Ridderinkhof, K. R. (2010). To head or to heed? Beyond the surface of selective action inhibition: A review. Frontiers in Human Neuroscience, 4, 222.

pdficon smallRidderinkhof, K. R., Cohen, M. X., & Forstmann, B. U. (2010). Motivational modulation of action control: How individual variability may shed light on the motivation-control interface and its neurocognitive mechanisms. In: Mars RB, Sallet J, Rushworth MFS, Yeung N (Eds.) Neural basis of motivational and cognitive control. Cambridge: MIT Press.

pdficon smallForstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E.-J.,Bogacz, R., Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Sciences, 107, 15916-15920. Featured under "Editors' Choice" in Science (2010), vol. 329, p. 1443. Highlighted in Kanai & Reese (2011), Nature Reviews Neuroscience.

pdficon smallForstmann, B. U., Brown, S., Dutilh, G., Neumann, J., & Wagenmakers, E.-J. (2010). The neural substrate of prior information in perceptual decision making: A model-based analysis. Frontiers in Human Neuroscience, 4, 40.

pdficon smallKarayanidis, F., Jamadar, S., Ruge, H., Phillips, N., Heathcote, A., & Forstmann, B. U. (2010). Advance preparation in task-switching: Converging evidence from behavioral, brain activation and model-based approaches. Frontiers in Cognition, 1, 25.

pdficon smallRidderinkhof, K. R., Forstmann, B. U., Wylie, S., Burle, B., & van den Wildenberg, W. P. M. (2010). Neurocognitive mechansims of action control: Resisting the call of Sirens. Wylie Interdisciplinary Reviews (WIREs) Cognitive Science, 2, 174-192.

pdficon smallBogacz, R., Wagenmakers, E.-J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences, 33, 10-16.

2009

pdficon smallWinkel, J., Wijnen, J. G., Ridderinkhof, K. R., Groen, I., Derrfuss, J., Danielmeier, C., & Forstmann, B. U. (2009). Your conflict matters to me! Behavioral and neural manifestations of control adjustments after self-experienced and observed decision-conflict. Frontiers in Human Neuroscience, 3, 57.

2008

pdficon smallForstmann, B. U., Dutilh, G., Brown, S., Neumann, J.,  von Cramon, D.Y., Ridderinkhof, K. R., & Wagenmakers, E.-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences, 105, 17538-17542.             

pdficon smallForstmann, 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, 9790-9796.         

pdficon smallForstmann, B. U., van den Wildenberg, W. P. M., & Ridderinkhof, K. R. (2008). Neural mechanisms, temporal dynamics, and individual differences in interference control in the Simon task. Journal of Cognitive Neuroscience, 20, 1854-1865.              

pdficon smallForstmann, B. U., Wolfensteller,U., Derrfuss, J., Neumann, J., Brass, M., Ridderinkhof, K. R., & von Cramon, D. Y. (2008). When the choice is ours: Context and agency modulate the neural bases of decision-making. PLoS ONE, 3, e1899.

 

2007

pdficon smallForstmann, B. U., Ridderinkhof, K. R., Kaiser, J., & Bledowski, C. (2007). At your own peril: An ERP study of voluntary task-set selection processes in medial frontal cortex. Cognitive, Affective, & Behavioural Neuroscience, 7, 286-296.

pdficon smallForstmann, B. U., Brass, M., & Koch, I. (2007). Methodological and empirical issues when dissociating cue-related from task-related processes in the explicit task-cuing procedure. Psychological Research, 72, 393-400.

2006

pdficon smallForstmann, B. U., Brass, M., Koch, I., & von Cramon, D. Y. (2006). Voluntary selection of task sets revealed by functional magnetic resonance imaging. Neuroscience, 18, 388-398.

pdficon smallNeumann, J., von Cramon, D. Y., Forstmann, B. U., Zysset, S., & Lohmann, G. (2006). The parcellation of cortical areas using replicator dynamics in fMRI. NeuroImage, 32, 208-219.

pdficon smallPreul, C., Hund-Georgiadis, M., Forstmann, B. U., & Lohmann, G. (2006). Characterization of cortical thickness and ventricular width in normal ageing: A morphometric study at 3 Tesla. Journal of Magnetic Resonance Imaging, 24, 513-519.

2005

pdficon smallForstmann, B. U., Brass, M., Koch, I., & von Cramon, D. Y. (2005). Internally generated and directly cued task sets: An investigation with fMRI. Neuropsychologia, 43, 943-952.

pdficon smallBrass, M., Derrfuss, J., Forstmann, B., & von Cramon, D. Y. (2005). The role of the inferior frontal junction area in cognitive control. Trends in Cognitive Sciences, 9, 314-315.