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Roland H. Grabner [4]Roland Grabner [1]
  1. Tobias U. Hauser, Stephanie Rotzer, Roland H. Grabner, Susan Mérillat & Lutz Jäncke (2013). Enhancing Performance in Numerical Magnitude Processing and Mental Arithmetic Using Transcranial Direct Current Stimulation (tDCS). Frontiers in Human Neuroscience 7.
    The ability to accurately process numerical magnitudes and solve mental arithmetic is of highest importance for schooling and professional career. Although impairments in these domains in disorders such as developmental dyscalculia (DD) are highly detrimental, remediation is still sparse. In recent years, transcranial brain stimulation methods such as transcranial Direct Current Stimulation (tDCS) have been suggested as a treatment for various neurologic and neuropsychiatric disorders. The posterior parietal cortex (PPC) is known to be crucially involved in numerical magnitude processing and (...)
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  2. Daniel Ansari, Bert de Smedt & Roland Grabner (2012). Neuroeducation–a Critical Overview of an Emerging Field. Neuroethics 5 (2):105-117.
    Abstract In the present article, we provide a critical overview of the emerging field of ‘neuroeducation’ also frequently referred to as ‘mind, brain and education’ or ‘educational neuroscience’. We describe the growing energy behind linking education and neuroscience in an effort to improve learning and instruction. We explore reasons behind such drives for interdisciplinary research. Reviewing some of the key advances in neuroscientific studies that have come to bear on neuroeducation, we discuss recent evidence on the brain circuits underlying reading, (...)
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  3. Roland H. Grabner, Gernot Reishofer, Karl Koschutnig & Franz Ebner (2011). Brain Correlates of Mathematical Competence in Processing Mathematical Representations. Frontiers in Human Neuroscience 5.
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  4. Roland H. Grabner (2009). Expertise in Symbol-Referent Mapping. Behavioral and Brain Sciences 32 (3-4):338-339.
    Much evidence cited by Cohen Kadosh & Walsh (CK&W) in support of their notation-specific representation hypothesis is based on tasks requiring automatic number processing. Several of these findings can be alternatively explained by differential expertise in mapping numerical symbols onto semantic magnitude representations. The importance of considering symbol-referent mapping expertise in theories on numerical representations is highlighted.
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  5. Aljoscha C. Neubauer, Andreas Fink & Roland H. Grabner (2006). Sensitivity of Alpha Band ERD to Individual Differences in Cognition. In Susana Martinez-Conde, S. L. Macknik, L. M. Martinez, J.-M. Alonso & P. U. Tse (eds.), Progress in Brain Research. Elsevier Science. 159--167.
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