@article{KrauseLindemannTonietal.2014,
  author    = {Krause, Florian and Lindemann, Oliver and Toni, Ivan and Bekkering, Harold},
  title     = {Different brains process Numbers differently: Structural bases of individual differences in spatial and nonspatial number representations},
  series = {Journal of cognitive neuroscience},
  volume    = {26},
  journal   = {Journal of cognitive neuroscience},
  number    = {4},
  publisher = {MIT Press},
  address   = {Cambridge},
  issn      = {0898-929X},
  doi       = {10.1162/jocn_a_00518},
  pages     = {768 -- 776},
  year      = {2014},
  abstract  = {A dominant hypothesis on how the brain processes numerical size proposes a spatial representation of numbers as positions on a "mental number line." An alternative hypothesis considers numbers as elements of a generalized representation of sensorimotor-related magnitude, which is not obligatorily spatial. Here we show that individuals' relative use of spatial and nonspatial representations has a cerebral counterpart in the structural organization of the posterior parietal cortex. Interindividual variability in the linkage between numbers and spatial responses (faster left responses to small numbers and right responses to large numbers; spatial-numerical association of response codes effect) correlated with variations in gray matter volume around the right precuneus. Conversely, differences in the disposition to link numbers to force production (faster soft responses to small numbers and hard responses to large numbers) were related to gray matter volume in the left angular gyrus. This finding suggests that numerical cognition relies on multiple mental representations of analogue magnitude using different neural implementations that are linked to individual traits.},
  language  = {en}
}
@misc{KrauseLindemann2014,
  author    = {Krause, Florian and Lindemann, Oliver},
  title     = {Expyriment: A Python library for cognitive and neuroscientific experiments},
  series = {Behavior research methods : a journal of the Psychonomic Society},
  volume    = {46},
  journal   = {Behavior research methods : a journal of the Psychonomic Society},
  number    = {2},
  publisher = {Springer},
  address   = {New York},
  issn      = {1554-351X},
  doi       = {10.3758/s13428-013-0436-9},
  pages     = {416 -- 428},
  year      = {2014},
  language  = {en}
}
@article{KrauseLindemann2014,
  author    = {Krause, Florian and Lindemann, Oliver},
  title     = {Expyriment: A Python library for cognitive and neuroscientific experiments},
  series = {Behavior research methods : a journal of the Psychonomic Society},
  volume    = {46},
  journal   = {Behavior research methods : a journal of the Psychonomic Society},
  number    = {2},
  publisher = {Springer},
  address   = {New York},
  issn      = {1554-351X},
  doi       = {10.3758/s13428-013-0390-6},
  pages     = {416 -- 428},
  year      = {2014},
  abstract  = {Expyriment is an open-source and platform-independent lightweight Python library for designing and conducting timing-critical behavioral and neuroimaging experiments. The major goal is to provide a well-structured Python library for script-based experiment development, with a high priority being the readability of the resulting program code. Expyriment has been tested extensively under Linux and Windows and is an all-in-one solution, as it handles stimulus presentation, the recording of input/output events, communication with other devices, and the collection and preprocessing of data. Furthermore, it offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running program. It is therefore also suited for students, as well as for experimental psychologists and neuro-scientists with little programming experience.},
  language  = {en}
}