Welcome to pRFpy’s documentation!

pRFpy is a package that allows you to simulate and fit population receptive field (pRF) parameters from time series data. We have big plans for pRFpy, and will be developing intensely in the coming months.

Reference

• Receptive fields
  • gauss1D_cart()
  • gauss1D_log()
  • gauss2D_iso_cart()
  • gauss2D_logpolar()
  • gauss2D_rot_cart()
  • vonMises1D()
• Timecourse functionality
  • convolve_stimulus_dm()
  • dcfilter_predictions()
  • filter_predictions()
  • generate_arima_noise()
  • generate_random_cosine_drifts()
  • generate_random_legendre_drifts()
  • sgfilter_predictions()
  • stimulus_through_prf()
• Stimulus classes
  • CFStimulus
  • PRFStimulus1D
  • PRFStimulus2D
• Grid classes
  • CFGaussianModel
  • CSS_Iso2DGaussianModel
  • DoG_Iso2DGaussianModel
  • Iso2DGaussianModel
  • Model
  • Norm_Iso2DGaussianModel
• Fit classes
  • CFFitter
  • CSS_Iso2DGaussianFitter
  • DoG_Iso2DGaussianFitter
  • Extend_Iso2DGaussianFitter
  • Fitter
  • Iso2DGaussianFitter
  • Norm_Iso2DGaussianFitter
  • error_function()
  • iterative_search()
• CNN