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Holger Mohr

Showing results (1-10 of 20) with videos related to

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Neuroinformatics|September 16, 2020
Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate SettingHolger Mohr, Hannes Ruge
Neuroimage|November 28, 2017
Large-scale coupling dynamics of instructed reversal learningHolger Mohr, Uta Wolfensteller, Hannes Ruge
Translational Psychiatry|December 13, 2022
The challenge to disentangle age and recovery effects in research focusing on adolescent anorexia nervosaIlka Boehm, Holger Mohr, Stefan Ehrlich
Neuroimage|December 4, 2014
Sparse regularization techniques provide novel insights into outcome integration processesHolger Mohr, Uta Wolfensteller, Steffi Frimmel, et al.
Psychophysiology|April 18, 2023
Are electrophysiological correlates of response inhibition linked to impulsivity and compulsivity? A machine-learning analysis of a Go/Nogo taskKerstin Dück, Rebecca Overmeyer, Holger Mohr, et al.
Neuropsychologia|November 3, 2015
The neural basis of integrating pre- and post-response information for goal-directed actionsSteffi Frimmel, Uta Wolfensteller, Holger Mohr, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|September 29, 2023
Disrupted Salience and Cingulo-Opercular Network Connectivity During Impaired Rapid Instructed Task Learning in SchizophreniaJulia M Sheffield, Holger Mohr, Hannes Ruge, et al.
Elife|November 19, 2019
Neural representation of newly instructed rule identities during early implementation trialsHannes Ruge, Theo Aj Schäfer, Katharina Zwosta, 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.
Neuroimage|August 29, 2021
Brain state kinematics and the trajectory of task performance improvementEli J Müller, Brandon Munn, Holger Mohr, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Neuroinformatics|September 16, 2020
Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate SettingHolger Mohr, Hannes Ruge
Neuroimage|November 28, 2017
Large-scale coupling dynamics of instructed reversal learningHolger Mohr, Uta Wolfensteller, Hannes Ruge
Translational Psychiatry|December 13, 2022
The challenge to disentangle age and recovery effects in research focusing on adolescent anorexia nervosaIlka Boehm, Holger Mohr, Stefan Ehrlich
Neuroimage|December 4, 2014
Sparse regularization techniques provide novel insights into outcome integration processesHolger Mohr, Uta Wolfensteller, Steffi Frimmel, et al.
Psychophysiology|April 18, 2023
Are electrophysiological correlates of response inhibition linked to impulsivity and compulsivity? A machine-learning analysis of a Go/Nogo taskKerstin Dück, Rebecca Overmeyer, Holger Mohr, et al.
Neuropsychologia|November 3, 2015
The neural basis of integrating pre- and post-response information for goal-directed actionsSteffi Frimmel, Uta Wolfensteller, Holger Mohr, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|September 29, 2023
Disrupted Salience and Cingulo-Opercular Network Connectivity During Impaired Rapid Instructed Task Learning in SchizophreniaJulia M Sheffield, Holger Mohr, Hannes Ruge, et al.
Elife|November 19, 2019
Neural representation of newly instructed rule identities during early implementation trialsHannes Ruge, Theo Aj Schäfer, Katharina Zwosta, 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.
Neuroimage|August 29, 2021
Brain state kinematics and the trajectory of task performance improvementEli J Müller, Brandon Munn, Holger Mohr, et al.
Pageof 2