The relationship between frequency content and representational dynamics in the decoding of neurophysiological data.

ABSTRACT: Decoding of high temporal resolution, stimulus-evoked neurophysiological data is increasingly used to test theories about how the brain processes information. However, a fundamental relationship between the frequency spectra of the neural signal and the subsequent decoding accuracy timecourse is not widely recognised. We show that, in commonly used instantaneous signal decoding paradigms, each sinusoidal component of the evoked response is translated to double its original frequency in the subsequent decoding accuracy timecourses. We therefore recommend, where researchers use instantaneous signal decoding paradigms, that more aggressive low pass filtering is applied with a cut-off at one quarter of the sampling rate, to eliminate representational alias artefacts. However, this does not neg

SUBMITTER: Higgins C 

PROVIDER: S-EPMC10565838 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature