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Related Experiment Video

Updated: Apr 8, 2026

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

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PMv Neuronal Firing May Be Driven by a Movement Command Trajectory within Multidimensional Gaussian Fields.

Rahul Agarwal¹, Nitish V Thakor², Sridevi V Sarma²

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, and rahul.jhu@gmail.com.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|June 26, 2015

Summary

The ventral premotor cortex (PMv) encodes movement intentions using multidimensional Gaussian fields (MGFs), processing visual trajectory commands approximately 250 ms before movement initiation.

Keywords:

MGF brain machine interface movement command position/configuration premotor cortex reach and grasp

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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

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Published on: June 2, 2014

Area of Science:

Neuroscience
Motor Control
Computational Neuroscience

Background:

The premotor cortex (PM) integrates visual and somatosensory information for movement production.
The ventral premotor cortex (PMv) role in detailed signal encoding requires further elucidation.

Purpose of the Study:

To model and understand the signal encoding mechanisms within the ventral premotor cortex (PMv).
To investigate how PMv neurons process movement-related information.

Main Methods:

Recorded neuronal firing data from 110 PMv neurons in two rhesus macaques during reach-grasp-manipulate tasks.
Developed multidimensional Gaussian field (MGF) models to explain observed neural firing patterns.

Main Results:

Approximately 90% of PMv neurons' firing patterns were explained by MGFs encoding high-dimensional trajectory-like signals.
MGFs were characterized as (hyper) disc-like, with neurons tuned to specific directions in the signal space.
Findings align with observed arm-referent tuning curves and target selectivity in PMv visual-motor neurons.

Conclusions:

PMv neurons likely process visually specified reference commands for intended arm/hand trajectories.
PMv may function as a lookup table, translating intended trajectories into motor commands.
MGFs offer a novel nonlinear framework for decoding intended arm/hand trajectories well before movement.