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Wilson Geisler, Director SEA 4.328A, Mailcode A8000, Austin, TX 78712 • 512-471-5380

Eyal Seidemann

Associate Professor Ph.D., Stanford University

Eyal Seidemann

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Biography

Eyal Seidemann received his Ph.D. in Neuroscience from Stanford University. He studies the cortical mechanisms that mediate visual perception and visually guided behavior. In his own words: the central goal of my research is to understand how perceptual events and motor plans are represented and processed in the primate cerebral cortex. To address these questions, we employ a novel combination of optical imaging and electrophysiological techniques in awake, behaving primates. Our ability to record optically from the cortex of alert animals puts us in a unique position; it allows us to directly visualize cortical activity in real-time, while subjects perform demanding perceptual or motor tasks. We then build computational models that attempt to explain how the measured neural activity could lead to the observed behavior. Finally, we test the predictions of these quantitative models by measuring how perceptual judgments or motor plans change following selective manipulations of the neural response using electrical microstimulation or pharmacological microinjections.

Publications

Chen Y, Seidemann E. 2012. Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1. Neuron 74:557-66
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Palmer CR, Chen Y, Seidemann E. 2012. Uniform spatial spread of population activity in primate parafoveal V1. Journal of Neurophysiology 107:1857-67
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Chen Y, Palmer CR, Seidemann E. 2012. The relationship between voltage-sensitive dye imaging signals and spiking activity of neural populations in primate V1. Journal of Neurophysiology (in press)
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Seidemann, E., Chen, Y. & Geisler, W. (2009) Encoding and Decoding with Neural Populations in the Primate Cortex. In Gazzaniga M. S. (Ed.), . The Cognitive Neuroscience IV. Cambridge: MIT Press, 419-434.
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Sit, Y.-F., Chen, Y., Geisler, W. S., Miikkulaine, R. & Seidemann, E. (2009) Complex dynamics of V1 population responses explained by a simple gain-control model. Neuron 64, 943-56.
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Chen, Y. & Geisler, W. & Seidemann, E. (2008, September) Optimal temporal decoding of neural population responses in a reaction time visual detection task. Journal of Neurophysiology, 99(3), 1366-1379.
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Palmer, C. & Cheng, S. & Seidemann, E. (2007, September) Linking Neuronal and Behavioral Performance in a Reaction-Time Visual Detection Task. The Journal of Neuroscience, 27(30), 8122-8137.
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Yang, Z. & Heeger, D. & Seidemann, E. (2007, September) Rapid and precise retinotopic mapping of the visual cortex obtained by voltage sensitive dye imaging in the behaving monkey. Journal of Neurophysiology, 98(2), 1002-1014.
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Chen, Y. & Geisler, W. & Seidemann, E. (2006, September) Optimal decoding of correlated neural population responses in the primate visual cortex. Nature Neuroscience, 9(11), 1412-1420.
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Seidemann, E., Arieli, A., Grinvald, A. & Slovin, H. (2002, September) Dynamics of depolarization and hyperpolarization in the frontal cortex and saccade goal. Science, 295(5556), 862-865.
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Seidemann, E. & Newsome, W. (1999, September) Effect of spatial attention on the responses of area MT neurons. Journal of Neurophysiology, 81(4), 1783-1794.
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D.J. Heeger., Boynton, G., Newsome, W. & Demb, J., Seidemann, E. (1999, September) Motion opponency in visual cortex. The Journal of Neuroscience, 19(16), 7162-74
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Seidemann, E., Poirson, A., Wandell, B. & Newsome, W. (1999, September) Color signals in area MT of the macaque monkey. Neuron, 24(4):911-7.
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Seidemann, E. & Zohary, E. (1998, September) Temporal gating of neural signals during performance of a visual discrimination task. Nature, 394(6688), 72-75.
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Seidemann, E., Meilijson, I., Abeles, M., Bergman, H. & Vaadia, E. (1996, September) Simultaneously recorded single units in the frontal cortex go through sequences of discrete and stable states in monkeys performing a delayed localization task. The Journal of Neuroscience, 16(2), 752-768.
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Courses

SPRING 2012

NEU 383T PRINCIPLES OF NEUROSCIENCE II

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