Unprocessed Virtual Reality Behavior Data for Hippocampal Contextual Code Analysis

All virtual reality behavior data for reproducing empirical prior distributions over morph values, as used in Plitt & Giocomo (2021). The dataset is 1.0 GB in size, authored by Mark Plitt, and was last updated on 2026-04 09. It supports the Nature Neuroscience paper 'Experience-dependent contextual codes in the hippocampus'.

Use Cases

• Reproducing empirical prior distributions over morph values based on the described virtual reality behavior.
• Analyzing experience-dependent contextual codes in the hippocampus based on the behavioral data.
• Modeling hippocampal neural activity patterns based on virtual reality navigation trajectories.
• Validating computational models of spatial memory using the raw behavioral data.

Strengths

• Dataset size is 1.0 GB, indicating a substantial volume of raw behavioral data.
• Directly supports a peer-reviewed publication in Nature Neuroscience (Plitt & Giocomo, 2021).
• Released under a permissive CC-BY-4.0 license for open reuse.

Limitations

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

Provenance

Source

Mark Plitt via figshare.

Collection Method

Virtual reality behavior data collected for a neuroscience study.

Time Range

Temporal coverage is not specified in the description.

Freshness

Last updated 2026-04-09 17:48:11.

Geography

Spatial coverage is not specified in the description.