Population receptive fields of human primary visual cortex organised as DC-balanced bandpass filters.

ABSTRACT: The response to visual stimulation of population receptive fields (pRF) in the human visual cortex has been modelled with a Difference of Gaussians model, yet many aspects of their organisation remain poorly understood. Here, we examined the mathematical basis and signal-processing properties of this model and argue that the DC-balanced Difference of Gaussians (DoG) holds a number of advantages over a DC-biased DoG. Through functional magnetic resonance imaging (fMRI) pRF mapping, we compared performance of DC-balanced and DC-biased models in human primary visual cortex and found that when model complexity is taken into account, the DC-balanced model is preferred. Finally, we present evidence indicating that the BOLD signal DC offset contains information related to the processing of visual

SUBMITTER: Kristensen DG 

PROVIDER: S-EPMC8599479 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature