Fit parameters for monotonic, tuned numerosity, aggregate Fourier power, and non-numerical cues neural response models. The data, authored by Jacob M. Paul, originates from paperswithcode and is associated with an Open Access (green) license.
Use Cases
- Modeling voxel responses in visual field maps based on monotonic numerosity parameters.
- Analyzing neural tuning to numerosity based on fitted model parameters.
- Investigating the role of aggregate Fourier power in visual processing based on model fits.
- Studying the influence of non-numerical visual cues on neural activity based on response model parameters.
Strengths
- Data is associated with an Open Access (green) license, facilitating reuse.
- Parameters are derived from fitting multiple distinct neural response models, allowing for comparative analysis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Jacob M. Paul via paperswithcode
- Collection Method
- Parameters were likely fitted to voxel responses from neuroimaging experiments.