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Saccade direction encoding in the primate entorhinal cortex during visual exploration.

Nathaniel J Killian¹, Steve M Potter², Elizabeth A Buffalo³

¹Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114; Yerkes National Primate Research Center, Atlanta, GA 30329; Laboratory for Neuroengineering, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332;

Proceedings of the National Academy of Sciences of the United States of America

|December 9, 2015

Summary

This summary is machine-generated.

Researchers discovered saccade direction cells in the primate entorhinal cortex (EC) that encode eye movement information during visual exploration. These cells may support spatial computations similar to those in rodents.

Keywords:

grid cell head direction medial temporal lobe spatial representation vision

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Published on: March 18, 2019

Area of Science:

Neuroscience
Primate Cognition
Spatial Navigation

Background:

The primate entorhinal cortex (EC) contains grid cells representing position in visual space.
This suggests shared neural mechanisms for exploring visual scenes and physical environments.

Purpose of the Study:

To investigate neural encoding of eye movements during visual exploration in the primate EC.
To identify cells involved in processing saccade direction.

Main Methods:

Electrophysiological recordings from the posterior EC of monkeys during free-viewing of complex images.
Analysis of neuronal activity in relation to saccade direction.

Main Results:

A population of saccade direction (SD) cells was identified in the posterior EC, encoding eye movement information.
Twenty percent of recorded cells showed significant saccade direction encoding.
Two distinct populations of SD cells encoded either future or previous saccade directions.

Conclusions:

Saccade direction cells in the primate EC contribute to spatial processing during visual exploration.
These findings suggest homologous spatial computation mechanisms across different exploratory contexts (visual vs. physical space).
The EC neural circuitry may support diverse spatial computations through adaptable signaling mechanisms.