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[Abstract Title]. - Society for Neuroscience

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suppressed due to non-specific brain activation in association with the neck extensor muscle<br />

activity.<br />

Disclosures: K. Kunita , None; K. Fujiwara, None; M. Katayama, None; H. Watanabe,<br />

None.<br />

Poster<br />

264. Eye Movements: Smooth Pursuit<br />

Time: Sunday, November 16, 2008, 1:00 pm - 5:00 pm<br />

Program#/Poster#: 264.1/DD18<br />

Topic: D.06.d. Saccades and Pursuit<br />

Support: National Science Foundation Graduate Fellowship<br />

MH077970<br />

HHMI<br />

<strong>Title</strong>: Changes in single unit activity in the frontal eye fields (FEFSEM) during pursuit learning<br />

Authors: *J. X. LI, S. G. LISBERGER;<br />

UCSF, San Francisco, CA<br />

<strong>Abstract</strong>: Repeated exposure to a consistent change in target motion allows the smooth pursuit<br />

eye movement system to rapidly learn to emit an eye movement that predicts the time and<br />

direction of change in target motion (Medina, et.al. 2005). To understand how the neural signals<br />

<strong>for</strong> learning are represented and modified as they progress through the pursuit circuit, we<br />

recorded from the smooth eye movement region of the frontal eye field (FEFSEM). The<br />

FEFSEM is a motor cortex <strong>for</strong> pursuit that processes the visual motion input from area MT to<br />

drive downstream structures. Pursuit neurons in the FEFSEM do not respond in a stereotyped<br />

manner to pursuit. Rather, the coding of pursuit is distributed so that each neuron is most active<br />

during specific epochs of the movement (Schoppik, et.al. 2008). This raises the possibility that a<br />

neuron is selectively involved in learning at the time when it is most active.<br />

We recorded from 55 single units in the macaque FEFSEM to explore how these neurons alter<br />

their activity during pursuit learning. In these experiments, the target changed direction 250 ms<br />

after the onset of target motion, and the direction of target change was chosen to match the<br />

neuron's preferred direction. We found that the learning-related changes in responses varied<br />

widely across neurons. The heterogeneity could not be explained by disparities in the magnitude<br />

of the learned behavior, which remained fairly consistent from day to day. Instead, the amount of

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