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Ruth Seurinck

Showing results (1-10 of 47) with videos related to

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Biometrics|November 15, 2021
Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying GuoBeatrijs Moerkerke, Ruth Seurinck
Frontiers in Human Neuroscience|September 3, 2011
Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysisMassimo Silvetti, Ruth Seurinck, Tom Verguts
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|June 22, 2012
Value and prediction error estimation account for volatility effects in ACC: a model-based fMRI studyMassimo Silvetti, Ruth Seurinck, Tom Verguts
Plos One|October 1, 2014
Inside the syntactic box: the neural correlates of the functional and positional level in covert sentence productionSimona Collina, Ruth Seurinck, Robert J Hartsuiker
Frontiers in Human Neuroscience|July 28, 2010
The Internal Anticipation of Sensory Action Effects: When Action Induces FFA and PPA ActivitySimone Kühn, Ruth Seurinck, Wim Fias, et al.
Neuroinformatics|July 6, 2013
Adaptive smoothing as inference strategy: more specificity for unequally sized or neighbouring regionsMarijke Welvaert, Karsten Tabelow, Ruth Seurinck, et al.
Elife|May 24, 2024
Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomicsChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Cognitive and Behavioral Neurology : Official Journal of the Society for Behavioral and Cognitive Neurology|December 6, 2008
Prism adaptation moves neglect-related perseveration to contralesional spaceGudrun M S Nys, Ruth Seurinck, H Chris Dijkerman
Plos One|December 1, 2018
Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRIFreya Acar, Ruth Seurinck, Simon B Eickhoff, et al.
Nature Protocols|March 4, 2025
Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics dataChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Biometrics|November 15, 2021
Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying GuoBeatrijs Moerkerke, Ruth Seurinck
Frontiers in Human Neuroscience|September 3, 2011
Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysisMassimo Silvetti, Ruth Seurinck, Tom Verguts
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|June 22, 2012
Value and prediction error estimation account for volatility effects in ACC: a model-based fMRI studyMassimo Silvetti, Ruth Seurinck, Tom Verguts
Plos One|October 1, 2014
Inside the syntactic box: the neural correlates of the functional and positional level in covert sentence productionSimona Collina, Ruth Seurinck, Robert J Hartsuiker
Frontiers in Human Neuroscience|July 28, 2010
The Internal Anticipation of Sensory Action Effects: When Action Induces FFA and PPA ActivitySimone Kühn, Ruth Seurinck, Wim Fias, et al.
Neuroinformatics|July 6, 2013
Adaptive smoothing as inference strategy: more specificity for unequally sized or neighbouring regionsMarijke Welvaert, Karsten Tabelow, Ruth Seurinck, et al.
Elife|May 24, 2024
Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomicsChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Cognitive and Behavioral Neurology : Official Journal of the Society for Behavioral and Cognitive Neurology|December 6, 2008
Prism adaptation moves neglect-related perseveration to contralesional spaceGudrun M S Nys, Ruth Seurinck, H Chris Dijkerman
Plos One|December 1, 2018
Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRIFreya Acar, Ruth Seurinck, Simon B Eickhoff, et al.
Nature Protocols|March 4, 2025
Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics dataChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Pageof 5