What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
Tobias H. Donner mainly investigates Neuroscience, Stimulus, Magnetoencephalography, Sensory system and Perception.
His Neuroscience study combines topics in areas such as Cued speech and Communication.
His biological study deals with issues like Visual cortex, which deal with fields such as Visual memory, Cortical Synchronization, Prefrontal cortex, Visual perception and N2pc.
His Sensory system research incorporates elements of Brain mapping and Electroencephalography.
He interconnects Motor cortex and Cognitive psychology in the investigation of issues within Perception.
His Motor cortex research includes elements of Motion detection, Visual motion detection and Perceptual decision.
His most cited work include:
- Spectral fingerprints of large-scale neuronal interactions (831 citations)
- Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention (393 citations)
- Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention (393 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroscience, Perception, Cognitive psychology, Sensory system and Arousal.
His work is connected to Magnetoencephalography, Visual cortex, Stimulus, Human brain and Cerebral cortex, as a part of Neuroscience.
The various areas that he examines in his Visual cortex study include Motion perception, Visual perception and Visual memory.
Tobias H. Donner works on Perception which deals in particular with Perceptual decision.
His work is dedicated to discovering how Sensory system, Motor cortex are connected with Motion detection and other disciplines.
His studies deal with areas such as Pupil, Pupillary response and Brainstem as well as Arousal.
He most often published in these fields:
- Neuroscience (84.71%)
- Perception (61.78%)
- Cognitive psychology (49.68%)
What were the highlights of his more recent work (between 2018-2021)?
- Cognitive psychology (49.68%)
- Neuroscience (84.71%)
- Arousal (36.31%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cognitive psychology, Neuroscience, Arousal, Pupil and Perception.
His Cognitive psychology research includes themes of Cognitive complexity and Confirmation bias.
His research related to Sensory system, Magnetoencephalography, Stimulus, Cortex and Visual cortex might be considered part of Neuroscience.
Tobias H. Donner focuses mostly in the field of Magnetoencephalography, narrowing it down to topics relating to Cerebral cortex and, in certain cases, Visual task.
His work on Pupillary response as part of general Pupil study is frequently linked to Ask price, therefore connecting diverse disciplines of science.
His work on Stimulus modality as part of general Perception study is frequently connected to Phenomenon, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Between 2018 and 2021, his most popular works were:
- Choice history biases subsequent evidence accumulation (57 citations)
- Choice history biases subsequent evidence accumulation (57 citations)
- Confidence predicts speed-accuracy tradeoff for subsequent decisions. (17 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
His primary scientific interests are in Perception, Cognitive psychology, Neuroscience, Arousal and Decision model.
His study in the fields of Stimulus modality under the domain of Cognitive psychology overlaps with other disciplines such as Phenomenon.
His Magnetoencephalography, Sensory system, Cortex and Brainstem study in the realm of Neuroscience connects with subjects such as Schizophrenia.
Tobias H. Donner combines subjects such as Stimulus and Cerebral cortex with his study of Magnetoencephalography.
His Arousal research incorporates elements of Surprise and Pupil, Pupillary response.
His Decision model research is multidisciplinary, incorporating elements of Bounded function and Artificial intelligence.
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