Search Results - "Brodersen, Kay H"

Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning by Iglesias, Sandra, Mathys, Christoph, Brodersen, Kay H., Kasper, Lars, Piccirelli, Marco, den Ouden, Hanneke E.M., Stephan, Klaas E.

“…In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for predicting sensory inputs and inferring their underlying…”
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INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS by Brodersen, Kay H., Gallusser, Fabian, Koehler, Jim, Remy, Nicolas, Scott, Steven L.

“…An important problem in econometrics and marketing is to infer the causal impact that a designed market intervention has exerted on an outcome metric over…”
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Reward-Guided Learning with and without Causal Attribution by Jocham, Gerhard, Brodersen, Kay H., Constantinescu, Alexandra O., Kahn, Martin C., Ianni, Angela M., Walton, Mark E., Rushworth, Matthew F.S., Behrens, Timothy E.J.

“…When an organism receives a reward, it is crucial to know which of many candidate actions caused this reward. However, recent work suggests that learning is…”
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Decoding the perception of pain from fMRI using multivariate pattern analysis by Brodersen, Kay H., Wiech, Katja, Lomakina, Ekaterina I., Lin, Chia-shu, Buhmann, Joachim M., Bingel, Ulrike, Ploner, Markus, Stephan, Klaas Enno, Tracey, Irene

“…Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial…”
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Laminar activity in the hippocampus and entorhinal cortex related to novelty and episodic encoding by Maass, Anne, Schütze, Hartmut, Speck, Oliver, Yonelinas, Andrew, Tempelmann, Claus, Heinze, Hans-Jochen, Berron, David, Cardenas-Blanco, Arturo, Brodersen, Kay H., Enno Stephan, Klaas, Düzel, Emrah

“…The ability to form long-term memories for novel events depends on information processing within the hippocampus (HC) and entorhinal cortex (EC). The HC–EC…”
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TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry by Frässle, Stefan, Aponte, Eduardo A., Bollmann, Saskia, Brodersen, Kay H., Do, Cao T., Harrison, Olivia K., Harrison, Samuel J., Heinzle, Jakob, Iglesias, Sandra, Kasper, Lars, Lomakina, Ekaterina I., Mathys, Christoph, Müller-Schrader, Matthias, Pereira, Inês, Petzschner, Frederike H., Raman, Sudhir, Schöbi, Dario, Toussaint, Birte, Weber, Lilian A., Yao, Yu, Stephan, Klaas E.

“…Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and…”
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Generative embedding for model-based classification of fMRI data by Brodersen, Kay H, Schofield, Thomas M, Leff, Alexander P, Ong, Cheng Soon, Lomakina, Ekaterina I, Buhmann, Joachim M, Stephan, Klaas E

“…Decoding models, such as those underlying multivariate classification algorithms, have been increasingly used to infer cognitive or clinical brain states from…”
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Dissecting psychiatric spectrum disorders by generative embedding by Brodersen, Kay H, Deserno, Lorenz, Schlagenhauf, Florian, Lin, Zhihao, Penny, Will D, Buhmann, Joachim M, Stephan, Klaas E

“…This proof-of-concept study examines the feasibility of defining subgroups in psychiatric spectrum disorders by generative embedding, using dynamical system…”
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Atypical processing of uncertainty in individuals at risk for psychosis by Cole, David M., Diaconescu, Andreea O., Pfeiffer, Ulrich J., Brodersen, Kay H., Mathys, Christoph D., Julkowski, Dominika, Ruhrmann, Stephan, Schilbach, Leonhard, Tittgemeyer, Marc, Vogeley, Kai, Stephan, Klaas E.

“…•Humans at psychosis clinical high risk (CHR) over-estimate environmental volatility.•Low-level prediction error (PE) signals evoke increased frontal activity…”
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Disentangling spatial perception and spatial memory in the hippocampus: a univariate and multivariate pattern analysis fMRI study by Lee, Andy C H, Brodersen, Kay H, Rudebeck, Sarah R

“…Although the role of the hippocampus in spatial cognition is well accepted, it is unclear whether its involvement is restricted to the mnemonic domain or also…”
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Anterior insula integrates information about salience into perceptual decisions about pain by Wiech, Katja, Lin, Chia-shu, Brodersen, Kay H, Bingel, Ulrike, Ploner, Markus, Tracey, Irene

“…The decision as to whether a sensation is perceived as painful does not only depend on sensory input but also on the significance of the stimulus. Here, we…”
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Uncertainty in perception and the Hierarchical Gaussian Filter by Mathys, Christoph D, Lomakina, Ekaterina I, Daunizeau, Jean, Iglesias, Sandra, Brodersen, Kay H, Friston, Karl J, Stephan, Klaas E

“…In its full sense, perception rests on an agent's model of how its sensory input comes about and the inferences it draws based on this model. These inferences…”
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Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning by Iglesias, Sandra, Mathys, Christoph, Brodersen, Kay H., Kasper, Lars, Piccirelli, Marco, den Ouden, Hanneke E.M., Stephan, Klaas E.

“…Specifically, we used the open source software SPM8 (release number 4193) for fMRI analyses, which, by default, sequentially orthogonalizes parametrically…”
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Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data by Feis, Delia-Lisa, Brodersen, Kay H., von Cramon, D. Yves, Luders, Eileen, Tittgemeyer, Marc

“…The female brain contains a larger proportion of gray matter tissue, while the male brain comprises more white matter. Findings like these have sparked…”
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Editorial Note to: Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning by Iglesias, Sandra, Mathys, Christoph, Brodersen, Kay H., Kasper, Lars, Piccirelli, Marco, den Ouden, Hanneke E.M., Stephan, Klaas E.

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The Balanced Accuracy and Its Posterior Distribution by Brodersen, Kay H, Cheng Soon Ong, Stephan, Klaas E, Buhmann, Joachim M

“…Evaluating the performance of a classification algorithm critically requires a measure of the degree to which unseen examples have been identified with their…”
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Variational Bayesian mixed-effects inference for classification studies by Brodersen, Kay H., Daunizeau, Jean, Mathys, Christoph, Chumbley, Justin R., Buhmann, Joachim M., Stephan, Klaas E.

“…Multivariate classification algorithms are powerful tools for predicting cognitive or pathophysiological states from neuroimaging data. Assessing the utility…”
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Inversion of hierarchical Bayesian models using Gaussian processes by Lomakina, Ekaterina I., Paliwal, Saee, Diaconescu, Andreea O., Brodersen, Kay H., Aponte, Eduardo A., Buhmann, Joachim M., Stephan, Klaas E.

“…Over the past decade, computational approaches to neuroimaging have increasingly made use of hierarchical Bayesian models (HBMs), either for inferring on…”
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Model-based feature construction for multivariate decoding by Brodersen, Kay H., Haiss, Florent, Ong, Cheng Soon, Jung, Fabienne, Tittgemeyer, Marc, Buhmann, Joachim M., Weber, Bruno, Stephan, Klaas E.

“…Conventional decoding methods in neuroscience aim to predict discrete brain states from multivariate correlates of neural activity. This approach faces two…”
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Integrated Bayesian models of learning and decision making for saccadic eye movements by Brodersen, Kay H., Penny, Will D., Harrison, Lee M., Daunizeau, Jean, Ruff, Christian C., Duzel, Emrah, Friston, Karl J., Stephan, Klaas E.

“…The neurophysiology of eye movements has been studied extensively, and several computational models have been proposed for decision-making processes that…”
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