2023 - Research.com Neuroscience in Switzerland Leader Award
2022 - Research.com Neuroscience in Switzerland Leader Award
His primary areas of investigation include Neuroscience, Artificial intelligence, Bayesian inference, Bayes' theorem and Dynamic causal modelling. His work is dedicated to discovering how Neuroscience, Cognitive psychology are connected with Perception and Dopamine and other disciplines. His Artificial intelligence study integrates concerns from other disciplines, such as Neuroimaging, Free parameter, Applied mathematics and Pattern recognition.
His Bayesian inference study combines topics in areas such as Conditional probability and Conditional probability distribution. The study incorporates disciplines such as Cognition, Machine learning and Inference in addition to Bayes' theorem. Klaas E. Stephan combines subjects such as Resting state fMRI, Theoretical computer science and Causal model with his study of Dynamic causal modelling.
The scientist’s investigation covers issues in Neuroscience, Artificial intelligence, Functional magnetic resonance imaging, Cognitive psychology and Bayesian inference. The Artificial intelligence study combines topics in areas such as Machine learning, Causal model and Pattern recognition. Klaas E. Stephan has researched Causal model in several fields, including Dynamic causal modelling and Brain mapping.
His study in Functional magnetic resonance imaging is interdisciplinary in nature, drawing from both Resting state fMRI, Internal medicine, Neuroimaging and Dorsolateral prefrontal cortex. The concepts of his Cognitive psychology study are interwoven with issues in Perception, Cognition, Impulsivity, Antisaccade task and Reinforcement learning. His Bayesian inference research is included under the broader classification of Bayesian probability.
His scientific interests lie mostly in Neuroscience, Functional magnetic resonance imaging, Cognitive psychology, Sensory system and Internal medicine. His research is interdisciplinary, bridging the disciplines of Impulsivity and Neuroscience. Klaas E. Stephan has included themes like Resting state fMRI, Aspirin, Generative model and Dorsolateral prefrontal cortex in his Functional magnetic resonance imaging study.
His Cognitive psychology research incorporates themes from Cognition, Anterior insula, Anxiety, Bayesian inference and Reinforcement learning. His work investigates the relationship between Bayesian inference and topics such as Inference that intersect with problems in Bayesian probability, Schizophrenia, Paranoia and Situational ethics. The study incorporates disciplines such as Interoception, Perception, Electroencephalography, Stimulus and Metacognition in addition to Sensory system.
His scientific interests lie mostly in Neuroscience, Impulsivity, Stimulus, Cognitive psychology and Sensory system. Klaas E. Stephan frequently studies issues relating to Multiple sclerosis and Neuroscience. Klaas E. Stephan works mostly in the field of Impulsivity, limiting it down to concerns involving Ventromedial prefrontal cortex and, occasionally, Ventral striatum and Disinhibition.
Klaas E. Stephan interconnects Speech recognition, Functional imaging, Categorical variable, Neuroplasticity and General linear model in the investigation of issues within Stimulus. His biological study spans a wide range of topics, including Functional magnetic resonance imaging, Cognition and Reinforcement learning. His work deals with themes such as Mismatch negativity, Inference, Perception and Bayesian inference, which intersect with Sensory system.
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A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
Simon B. Eickhoff;Klaas E. Stephan;Hartmut Mohlberg;Christian Grefkes.
Empathic neural responses are modulated by the perceived fairness of others
Tania Singer;Ben Seymour;John P. O'Doherty;Klaas E. Stephan.
Bayesian model selection for group studies.
Klaas Enno Stephan;Will D. Penny;Jean Daunizeau;Rosalyn J. Moran.
Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoring
Klaas E. Stephan;Klaas E. Stephan;Karl J. Friston;Chris D. Frith;Chris D. Frith.
Schizophrenia Bulletin (2009)
The mismatch negativity: a review of underlying mechanisms.
Marta I. Garrido;James M. Kilner;Klaas E. Stephan;Karl J. Friston.
Clinical Neurophysiology (2009)
The Balanced Accuracy and Its Posterior Distribution
Kay Henning Brodersen;Cheng Soon Ong;Klaas Enno Stephan;Joachim M. Buhmann.
international conference on pattern recognition (2010)
The anatomical basis of functional localization in the cortex
Richard E. Passingham;Richard E. Passingham;Klaas E. Stephan;Klaas E. Stephan;Rolf Kötter.
Nature Reviews Neuroscience (2002)
Comparing dynamic causal models
William D. Penny;Klaas E. Stephan;Andrea Mechelli;Karl J. Friston.
Synaptic plasticity and dysconnection in schizophrenia.
Klaas E. Stephan;Torsten Baldeweg;Karl J. Friston.
Biological Psychiatry (2006)
Ten simple rules for dynamic causal modeling.
K.E. Stephan;K.E. Stephan;W.D. Penny;R.J. Moran;H.E.M. den Ouden.
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