Synthetic PET imaging for grasping: from primate Neurophysiology to human behavior

Authors:
Michael A. Arbib;Andrew H. Fagg;Scott T. Grafton
Affiliations:
USC Brain Project, University of Southern California Los Angeles, California;Computer Science Department, University of Massachusetts, Amherst, MA;Dartmouth College, Hanover, NH
Venue:
Exploratory analysis and data modeling in functional neuroimaging
Year:
2003

Citing 6
Cited 3

A model of primate visual-motor conditional learning

Adaptive Behavior
A computational model of the cortical mechanisms involved in primate grasping

A computational model of the cortical mechanisms involved in primate grasping
Modeling parietal-premotor interactions in primate control of grasping

Neural Networks - Special issue on neural control and robotics: biology and technology
Perspective on neuron model complexity

The handbook of brain theory and neural networks
Synthetic brain imaging: grasping, mirror neurons and imitation

Neural Networks - Special issue on the global brain: imaging and modelling
The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks

From mirror writing to mirror neurons

SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments

Neural Networks
Modeling the BOLD correlates of competitive neural dynamics

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Synthetic PET imaging is a technique for using computational models derived from primate neurophysiological data to predict and analyze the results of human PET studies. This technique makes use of the hypothesis that is correlated with the integrated synaptic activity in a localized brain region. In this chapter, we describe the Synthetic PET imaging approach, and demonstrate how it is applied to the FARS model to parietal-premotor interactions underlying primate grasp control. The Synthetic PET measures are interactions underlying primate grasp control. The Synthetic PET measures are computed for a simulated conditional/non-coditional grasping experiment, and then compared to the results of a similar human PET study. We then show how the human PET results may be used to further constrain the computational model.