Entorhinal velocity signals reflect environmental geometry

Area of Science:

• Neuroscience
• Spatial Navigation
• Computational Neuroscience

Background:

• The entorhinal cortex is crucial for self-location representation, housing grid cells and velocity signals.
• Environmental geometry influences grid cell firing, but the adaptability of velocity signals across environments is unclear.

Purpose of the Study:

• To investigate whether entorhinal cortex velocity signals, including speed and head direction cells, adapt to changes in environmental size and shape.
• To explore the coordination between different entorhinal cell types during environmental transformations.

Main Methods:

• Recording neural activity from entorhinal cortex neurons in mice exposed to environments of varying size and shape.
• Utilizing a knockout mouse model to dissociate the coordinated responses of grid, speed, and head direction cells.

Main Results:

• Speed cells demonstrated rescaling of their firing rate in response to altered environmental dimensions.
• Head direction cells exhibited experience-dependent reorganization, aligning with environmental axes.
• Grid and speed cells showed coordinated responses to environmental changes, while head direction cells did not.

Conclusions:

• Entorhinal cortex cell types exhibit significant malleability in their coding features.
• The findings suggest that speed cells contribute dynamically to self-motion representation across diverse environments.
• Understanding this neural plasticity is key for computational models of spatial navigation.