Eeg-representational geometries and psychometric distortions in approximate numerical judgment

HIGHLIGHTS

  • who: Stefan Appelhoff et al. from the Germany Editor:, University of have published the research: EEG-representational geometries and psychometric distortions in approximate numerical judgment, in the Journal: (JOURNAL)
  • what: The model formalizes the transformation of objective sample values X (here: numbers 1-9, normalized to the range ) into a subjective decision value dv as a sign-preserving power function: dv= X-b k=jX - bj; jX - bj where exponent k (kappa) determines the overall shape of the transformation (k and amp;lt;1: compression; k=1: linear; k>1: anti-compression). The model was . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?