Model Fitting Summary for Sensory Integration with Parameter Counts

A 5.5 KB Excel file summarizing fitted models for sensory integration research. The data, uploaded by Shuze Liu on May 8, 2026, details the number of free parameters for different modeling components, including sensory noise and prior functions. It compares unisensory and bisensory fits across different causal inference strategies.

Use Cases

• Compare parameter complexity across different causal inference strategies (MS, MA, PM) based on the model summary.
• Analyze the structure of semiparametric and lifted semiparametric models based on the described fitting procedure.
• Examine the role of auditory range recalibration parameters based on their variation between unisensory and bisensory fits.

Strengths

• File size is 5.5 KB, ensuring quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing broad reuse.
• Last updated on 2026-05-08, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author Shuze Liu.

Collection Method

Likely generated from computational modeling experiments.

Time Range

Publication date is 2026-05-08; experimental date range is unknown.

Freshness

Last updated 2026-05-08 17:54:54; freshness should be verified.

Geography

Geographic coverage is not specified.