Kenneth W. Latimer, Ph.D.

Affiliations: 
2010-2015 Neuroscience University of Texas at Austin, Austin, Texas, U.S.A. 
 2015- Physiology & Biophysics University of Washington, Seattle, Seattle, WA 
Area:
Computational Neuroscience, Statistical Modeling
Website:
http://www.kennethlatimer.com
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"Kenneth Latimer"
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SNBCP
Cross-listing: Computational Biology Tree

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Publications

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Latimer KW, Barbera D, Sokoletsky M, et al. (2019) Multiple timescales account for adaptive responses across sensory cortices. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Zoltowski DM, Latimer KW, Yates JL, et al. (2019) Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making. Neuron
Latimer KW, Yates JL, Meister ML, et al. (2016) Response to Comment on "Single-trial spike trains in parietal cortex reveal discrete steps during decision-making". Science (New York, N.Y.). 351: 1406
Latimer KW, Yates JL, Meister ML, et al. (2015) Single-trial spike trains in parietal cortex reveal discrete steps during decision-making. Science (New York, N.Y.). 349: 184-187
Latimer KW, Huk AC, Pillow JW. (2015) Bayesian inference for latent stepping and ramping models of spike train data Advanced State Space Methods For Neural and Clinical Data. 160-185
Latimer KW, Chichilnisky EJ, Rieke F, et al. (2014) Inferring synaptic conductances from spike trains under a biophysically inspired point process model Advances in Neural Information Processing Systems. 2: 954-962
Park IM, Archer E, Latimer K, et al. (2013) Universal models for binary spike patterns using centered Dirichlet processes Advances in Neural Information Processing Systems
Scholl B, Latimer KW, Priebe NJ. (2012) A retinal source of spatial contrast gain control. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 9824-30
Mingus B, Kriete T, Herd S, et al. (2011) Generalization of figure-ground segmentation from binocular to monocular vision in an embodied biological brain model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6830: 351-356
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