Fitted Models: iLQR-VAE Parameters for Neocortical Consensus Dynamics

5.3 GB of fitted model parameters from a computational neuroscience study on inter-area brain dynamics. The dataset, authored by Mitra Javadzadeh, supports the findings of a 2024 bioRxiv preprint on dynamic consensus-building between neocortical areas. It was last updated on May 17, 2026.

Use Cases

• Reproducing the neural dynamics simulations described in the associated bioRxiv paper.
• Analyzing the role of long-range connections in cortical computation based on the fitted model parameters.
• Benchmarking new neural network or variational inference methods against the provided iLQR-VAE models.
• Investigating the relationship between model parameters like TAU_E, TAU_I, and SCALES and simulated neural activity.

Strengths

• Dataset size of 5.3 GB suggests a substantial collection of model parameters.
• Directly linked to a specific, peer-reviewed preprint (bioRxiv 2024), providing clear research context.
• Released under the permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics for parameters like C_MASK, B_EXT, and UNPACKED_W must be inferred from the source code.
• Row count is unknown, which may limit suitability assessment for specific analysis tasks.
• The description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

Mitra Javadzadeh, via figshare

Collection Method

Models fitted using the iLQR-VAE method as described in the associated publication.

Time Range

Associated with research published in 2024.

Freshness

Last updated 2026-05-17 23:42:20; freshness should be verified

Geography

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