Birte U. Forstmann spends much of her time researching Neuroscience, Cognitive psychology, Functional magnetic resonance imaging, Cognition and Subthalamic nucleus. Neuroscience and Developmental psychology are frequently intertwined in her study. Her Cognitive psychology study incorporates themes from Cognitive development, Motion perception, Motion, Perception and LIDA.
Her Perception research is multidisciplinary, incorporating elements of Social psychology and Distraction. Her Cognition study combines topics from a wide range of disciplines, such as Machine learning, Decision model and Cognitive science. Her Cognitive science study combines topics in areas such as Statistical hypothesis testing and Rational analysis.
Birte U. Forstmann mainly investigates Neuroscience, Cognition, Subthalamic nucleus, Cognitive psychology and Artificial intelligence. Her work in Neuroscience addresses subjects such as Probabilistic atlas, which are connected to disciplines such as Ventral tegmental area. Her Cognition study frequently draws connections to other fields, such as Cognitive science.
Her Subthalamic nucleus study deals with Magnetic resonance imaging intersecting with Neuroimaging, Biomedical engineering and Pathology. Her Cognitive psychology research includes themes of Social psychology, Perception and Neural substrate. Her work deals with themes such as Machine learning, Computer vision and Pattern recognition, which intersect with Artificial intelligence.
Birte U. Forstmann focuses on Neuroscience, Cognition, Neuroimaging, Artificial intelligence and Subthalamic nucleus. Her Neuroscience research incorporates elements of Region of interest, Probabilistic atlas and 7 tesla mri. Many of her research projects under Cognition are closely connected to Pupillometry with Pupillometry, tying the diverse disciplines of science together.
The concepts of her Neuroimaging study are interwoven with issues in Corpus callosum and Normative. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Decision model, Instrumental learning and Pattern recognition. Her research investigates the connection with Subthalamic nucleus and areas like Magnetic resonance imaging which intersect with concerns in Globus pallidus, Physical medicine and rehabilitation and Database.
Birte U. Forstmann mainly focuses on Cognitive neuroscience, Neuroscience, Functional magnetic resonance imaging, Cognition and Mind-wandering. Her Cognitive neuroscience research incorporates themes from Ventral tegmental area, Region of interest, Probabilistic atlas, Bold fmri and 7 tesla mri. Her Neuroscience study frequently draws connections between adjacent fields such as Experience sampling method.
Her Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Echo, Repetition Time, Cortex and Echo-planar imaging. Her Cognition research is multidisciplinary, relying on both Sequential sampling, Instrumental learning, Cognitive science, Variety and Reinforcement learning. Her Mind-wandering research includes elements of Pre-Registration, Physical medicine and rehabilitation, Electroencephalography, Modality and Transcranial direct-current stimulation.
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Erroneous analyses of interactions in neuroscience: a problem of significance
Sander Nieuwenhuis;Birte U Forstmann;Eric-Jan Wagenmakers.
Nature Neuroscience (2011)
Striatum and pre-SMA facilitate decision-making under time pressure
Birte U. Forstmann;Gilles Dutilh;Scott Brown;Jane Neumann.
Proceedings of the National Academy of Sciences of the United States of America (2008)
The neural basis of the speed–accuracy tradeoff
Rafal Bogacz;Eric-Jan Wagenmakers;Birte U. Forstmann;Sander Nieuwenhuis.
Trends in Neurosciences (2010)
The role of the inferior frontal junction area in cognitive control.
Marcel Brass;Jan Derrfuss;Birte U. Forstmann;D. Yves von Cramon.
Trends in Cognitive Sciences (2005)
Cortico-striatal connections predict control over speed and accuracy in perceptual decision making
Birte U. Forstmann;Alfred Anwander;Andreas Schäfer;Jane Neumann.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions.
Birte U Forstmann;Roger Ratcliff;E.-J. Wagenmakers.
Annual Review of Psychology (2016)
Effective Connectivity Reveals Important Roles for Both the Hyperdirect (Fronto-Subthalamic) and the Indirect (Fronto-Striatal-Pallidal) Fronto-Basal Ganglia Pathways during Response Inhibition
S. Jahfari;L. Waldorp;W.P.M. van den Wildenberg;H.S. Scholte.
The Journal of Neuroscience (2011)
Bias in the brain: A diffusion model analysis of prior probability and potential payoff
Martijn J. Mulder;Eric-Jan Wagenmakers;Roger Ratcliff;Wouter Boekel.
The Journal of Neuroscience (2012)
Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: A model-based approach
Birte U. Forstmann;Sara Jahfari;H. Steven Scholte;Uta Wolfensteller.
The Journal of Neuroscience (2008)
Posterior medial frontal cortex activity predicts post-error adaptations in task-related visual and motor areas
Claudia Danielmeier;Tom Eichele;Birte U. Forstmann;Marc Tittgemeyer.
The Journal of Neuroscience (2011)
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