What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Statistics
- Artificial intelligence
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.
Her most cited work include:
- Erroneous analyses of interactions in neuroscience: a problem of significance (517 citations)
- Striatum and pre-SMA facilitate decision-making under time pressure (483 citations)
- The neural basis of the speed–accuracy tradeoff (452 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Neuroscience (44.16%)
- Cognition (25.89%)
- Subthalamic nucleus (26.90%)
What were the highlights of her more recent work (between 2019-2021)?
- Neuroscience (44.16%)
- Cognition (25.89%)
- Neuroimaging (19.29%)
In recent papers she was focusing on the following fields of study:
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.
Between 2019 and 2021, her most popular works were:
- Increasing propensity to mind-wander by transcranial direct current stimulation? A registered report. (18 citations)
- Mutual benefits: Combining reinforcement learning with sequential sampling models. (14 citations)
- The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. (10 citations)
In her most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Artificial intelligence
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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