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The Journal of Neurophysiology Vol. 84 No. 2 August 2000, pp. 651-665
Copyright ©2000 by the American Physiological Society
Division of Biology, California Institute of Technology, Pasadena, California 91125
Xing, Jing and
Richard A. Andersen.
Memory Activity of LIP Neurons for Sequential Eye Movements
Simulated With Neural Networks. J. Neurophysiol. 84: 651-665, 2000. Many neurons in macaque lateral
intraparietal cortex (LIP) maintain elevated activity induced by visual
or auditory targets during tasks in which monkeys are required to
withhold one or more planned eye movements. We studied the mechanisms
for such memory activity with neural network modeling. Recurrent
connections among simulated LIP neurons were used to model memory
responses of LIP neurons. The connection weights were computed using an optimization procedure to produce desired outputs in memory-saccade tasks. One constraint for the training process is the
"single-purpose" rule, which mimics the fact that once LIP neurons
hold the memory activity of a saccade, they are insensitive to further
stimuli until the motor action is completed. After training, excitatory connections were developed between units with similar preferred saccade
directions, while inhibitory connections were formed between units with
dissimilar directions. This "push-pull" mechanism enables the
network to encode the next intended eye movement and is essential for
programming sequential saccades. In simulating double saccades, the
push-pull connections locked the on-going activity in the network for
the first saccade until the saccade was made, then a new population of
units became active to prepare for the second saccade. The simulated
LIP neurons exhibited sensory responses and memory activities similar
to those recorded in LIP neurons. We propose that push-pull recurrent
connections might be the basic structure mediating the memory activity
of area LIP in planning sequential eye movements.
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