Mouse Parietal Cortex Activity During Virtual Navigation and Decision-Making

Neural activity recordings from the posterior parietal cortex (PPC) of mice performing virtual reality navigation tasks were collected by Michael Krumin and released in 2020. The data captures neuronal firing patterns relative to spatial position, heading angle, and visual decision-making variables during trajectory selection.

Use Cases

• Predicting individual PPC neuron activity using spatial position and heading angle as primary features
• Evaluating the predictive accuracy of visual versus motor variable models on neural trajectory data
• Decoding navigation trajectories from choice-selective firing sequences in the parietal cortex

Strengths

• Captures specific combinations of spatial position and heading angle selectivity in PPC neurons
• Includes collective firing patterns arranged in choice-selective sequences for trajectory encoding
• Released under CC0-1.0 Universal Public Domain Dedication

Limitations

• Lack of detailed column metadata and file structure in the primary description
• Restricted to the posterior parietal cortex, excluding other navigation-related brain regions
• Temporal staleness with no updates in over three years

Provenance

Source

Dryad Digital Repository

Collection Method

Sensor-based neural recording during virtual reality navigation tasks

Freshness

Last updated June 2020; no scheduled updates.