Abstract

The discovery of speed-modulated grid, head direction, and conjunctive grid x head direction cells in the medial entorhinal cortex has led to the hypothesis that path integration, the updating of one’s spatial representation based on movement, may be carried out within this region. This hypothesis has been formalized by many computational models, including a class known as attractor network models. While many of these models propose specific mechanisms by which path integration might occur, predictions of these specific mechanisms have not been tested. Here I derive and test a key prediction of one attractor network path integration mechanism. Specifically, I first demonstrate that this mechanism predicts a periodic distribution of conjunctive cell preferred directions in order to minimize drift. Next, I test whether conjunctive cell preferred directions are in fact periodically organized. Results indicate that conjunctive cells are preferentially tuned to increments of 36°, consistent with drift minimization in this path integration mechanism. By contrast, no periodicity was observed in the preferred directions of either pure grid or pure head direction cells. These results provide the first neural evidence of a nonuniform structure in the directional preferences of any head direction representation found in the brain.

Highlights

  • The ability to update one’s spatial representation based on movement–a process known as path integration–is crucial to the successful function of any allocentric spatial representational system

  • Since the discovery of speed-modulated grid, head direction, and conjunctive grid x head direction cells in the medial entorhinal cortex [1,2,3], it has been widely hypothesized that this circuit might maintain path-integrated allocentric spatial representations, in the form of the grid code

  • The results indicate that conjunctive cells are preferentially tuned to headings in increments of 36°

Read more

Summary

Introduction

The ability to update one’s spatial representation based on movement–a process known as path integration–is crucial to the successful function of any allocentric spatial representational system. Since the discovery of speed-modulated grid, head direction, and conjunctive grid x head direction cells in the medial entorhinal cortex (mEC) [1,2,3], it has been widely hypothesized that this circuit might maintain path-integrated allocentric spatial representations, in the form of the grid code. This hypothesis has been formalized by a number of computational models, including a class known as attractor network models [4,5,6,7].

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call