Mohan et al. (2026): Primate Inferotemporal Cortex Plasticity Data and Code

Data and code accompany the Nature Communications article 'Visual Learning at Fast and Slow Timescales is Driven by Distinct Plasticity Rules in Primate Inferotemporal Cortex' by Mohan et al. (2026). The dataset is 2.9 MB in size and is available in XLSX format under a CC-BY-4.0 license. It was last updated on May 20, 2026.

Use Cases

• Replicate the analysis of fast and slow timescale learning based on the described plasticity rules.
• Validate computational models of neural plasticity in the primate inferotemporal cortex using the provided data.
• Conduct secondary analysis on the relationship between visual learning and distinct neural mechanisms.

Strengths

• Data is directly linked to a peer-reviewed publication in Nature Communications (2026).
• Dataset is shared under a permissive CC-BY-4.0 license, facilitating reuse.
• File format (XLSX) is widely accessible and commonly used for tabular data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The 2.9 MB size suggests a relatively small dataset, potentially limiting statistical power.

Provenance

Source

Mohan

Collection Method

Likely contains experimental data from primate neuroscience studies, as described in the associated journal article.

Freshness

Last updated 2026-05-20 19:28:52