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Sebastian Bitzer

Showing results (1-10 of 14) with videos related to

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Biological Cybernetics|May 15, 2012
Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networksSebastian Bitzer, Stefan J Kiebel
Plos Computational Biology|August 13, 2015
A Bayesian Attractor Model for Perceptual Decision MakingSebastian Bitzer, Jelle Bruineberg, Stefan J Kiebel
Cognition & Emotion|October 11, 2014
Human preferences are biased towards associative informationSabrina Trapp, Amitai Shenhav, Sebastian Bitzer, et al.
Plos Computational Biology|October 10, 2015
Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian InferenceDario Cuevas Rivera, Sebastian Bitzer, Stefan J Kiebel
Frontiers in Human Neuroscience|March 12, 2014
Perceptual decision making: drift-diffusion model is equivalent to a Bayesian modelSebastian Bitzer, Hame Park, Felix Blankenburg, et al.
Frontiers in Neuroscience|March 21, 2022
Stochastic Motion Stimuli Influence Perceptual Choices in Human ParticipantsPouyan R Fard, Sebastian Bitzer, Sebastian Pannasch, et al.
Frontiers in Human Neuroscience|March 3, 2020
Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic StimuliSebastian Bitzer, Hame Park, Burkhard Maess, et al.
Frontiers in Computational Neuroscience|May 30, 2017
A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision MakingPouyan R Fard, Hame Park, Andrej Warkentin, et al.
Plos Computational Biology|November 30, 2018
Deterministic response strategies in a trial-and-error learning taskHolger Mohr, Katharina Zwosta, Dimitrije Markovic, et al.
Scientific Reports|January 12, 2016
Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision makingHame Park, Jan-Matthis Lueckmann, Katharina von Kriegstein, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Biological Cybernetics|May 15, 2012
Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networksSebastian Bitzer, Stefan J Kiebel
Plos Computational Biology|August 13, 2015
A Bayesian Attractor Model for Perceptual Decision MakingSebastian Bitzer, Jelle Bruineberg, Stefan J Kiebel
Cognition & Emotion|October 11, 2014
Human preferences are biased towards associative informationSabrina Trapp, Amitai Shenhav, Sebastian Bitzer, et al.
Plos Computational Biology|October 10, 2015
Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian InferenceDario Cuevas Rivera, Sebastian Bitzer, Stefan J Kiebel
Frontiers in Human Neuroscience|March 12, 2014
Perceptual decision making: drift-diffusion model is equivalent to a Bayesian modelSebastian Bitzer, Hame Park, Felix Blankenburg, et al.
Frontiers in Neuroscience|March 21, 2022
Stochastic Motion Stimuli Influence Perceptual Choices in Human ParticipantsPouyan R Fard, Sebastian Bitzer, Sebastian Pannasch, et al.
Frontiers in Human Neuroscience|March 3, 2020
Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic StimuliSebastian Bitzer, Hame Park, Burkhard Maess, et al.
Frontiers in Computational Neuroscience|May 30, 2017
A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision MakingPouyan R Fard, Hame Park, Andrej Warkentin, et al.
Plos Computational Biology|November 30, 2018
Deterministic response strategies in a trial-and-error learning taskHolger Mohr, Katharina Zwosta, Dimitrije Markovic, et al.
Scientific Reports|January 12, 2016
Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision makingHame Park, Jan-Matthis Lueckmann, Katharina von Kriegstein, et al.
Pageof 2