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prfmodel 0.0.1 documentation
prfmodel 0.0.1 documentation

Contents:

  • Introduction
  • Installation
  • Getting started
  • Tutorials & Examples
    • Tutorials
      • How to fit a compressive spatial summation population receptive field model to simulated data
      • How to fit a Difference of Gaussians population receptive field model to simulated data
      • How to fit a Divisive Normalization population receptive field model to simulated data
      • Adding regressors to a model
    • Examples
      • Fitting a 2D population receptive field model to fMRI data from a visual experiment
      • Fitting a connective field model to fMRI data from a visual experiment
  • Development
    • Architecture
  • API Reference
    • prfmodel.density
      • derivative_gamma_density
      • gamma_density
      • shifted_gamma_density
    • prfmodel.examples
      • load_2d_prf_bar_stimulus
      • load_single_subject_fmri_data
      • load_surface_mesh
    • prfmodel.exceptions
      • ShapeError
      • ShapeMismatchError
    • prfmodel.fitters
      • prfmodel.fitters.adapter
        • Adapter
        • ParameterConstraint
        • ParameterTransform
      • GridFitter
      • GridHistory
      • LeastSquaresFitter
      • LeastSquaresHistory
      • SGDFitter
      • SGDHistory
    • prfmodel.impulse
      • prfmodel.impulse.base
        • BaseImpulse
      • prfmodel.impulse.defaults
        • default_two_gamma_impulse_glover_hrf
        • default_two_gamma_impulse_spm_hrf
      • DerivativeTwoGammaImpulse
      • ShiftedGammaImpulse
      • TwoGammaImpulse
      • convolve_prf_impulse_response
    • prfmodel.models
      • prfmodel.models.base
        • BaseCanonical
        • BasePopulationResponse
        • BaseStimulusEncoder
      • prfmodel.models.cf
        • prfmodel.models.cf.canonical
          • CanonicalCFModel
        • CFStimulusEncoder
        • GaussianCFModel
        • GaussianCFResponse
      • prfmodel.models.compression
        • CompressiveEncoder
      • prfmodel.models.prf
        • prfmodel.models.prf.canonical
          • CanonicalPRFModel
          • CenterSurroundPRFModel
          • DelayedNormPRFModel
          • DivNormPRFModel
        • DelayedNormGaussian2DPRFModel
        • DelayedNormPRFModel
        • DivNormGaussian2DPRFModel
        • DivNormPRFModel
        • DoG2DPRFModel
        • Gaussian2DCSSPRFModel
        • Gaussian2DPRFModel
        • Gaussian2DPRFResponse
        • PRFStimulusEncoder
        • encode_prf_response
        • init_css_from_gaussian
        • init_delayed_norm_from_gaussian
        • init_div_norm_from_dog_css
        • init_dog_from_gaussian
        • predict_gaussian_response
    • prfmodel.plotting
      • animate_2d_prf_stimulus
      • plot_2d_prf_stimulus
    • prfmodel.regressors
      • prfmodel.regressors.base
        • BaseRegressors
      • AdditiveRegressors
      • ConvolvedRegressors
      • RegressorsList
    • prfmodel.scaling
      • prfmodel.scaling.base
        • BaseScaling
      • Baseline
      • BaselineAmplitude
    • prfmodel.stimuli
      • prfmodel.stimuli.base
        • Stimulus
      • CFStimulus
      • PRFStimulus
      • Stimulus
    • prfmodel.typing
    • prfmodel.utils
      • UndefinedResponseWarning
      • ModelProtocol
      • ParamsDict
      • batched
      • convert_parameters_to_tensor
      • get_dtype
      • normalize_response
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