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Kenneth W Latimer
Kenneth W Latimer
Staff Scientist, University of Chicago
Verified email at uchicago.edu - Homepage
Title
Cited by
Cited by
Year
Single-trial spike trains in parietal cortex reveal discrete steps during decision-making
KW Latimer, JL Yates, MLR Meister, AC Huk, JW Pillow
Science 349 (6244), 184-187, 2015
3362015
Response to Comment on “Single-trial spike trains in parietal cortex reveal discrete steps during decision-making”
KW Latimer, JL Yates, MLR Meister, AC Huk, JW Pillow
Science 351 (6280), 1406-1406, 2016
502016
Discrete stepping and nonlinear ramping dynamics underlie spiking responses of LIP neurons during decision-making
DM Zoltowski, KW Latimer, JL Yates, AC Huk, JW Pillow
Neuron 102 (6), 1249-1258. e10, 2019
492019
Inferring synaptic inputs from spikes with a conductance-based neural encoding model
KW Latimer, F Rieke, JW Pillow
eLife 8, e47012, 2019
322019
Multiple timescales account for adaptive responses across sensory cortices
KW Latimer, D Barbera, M Sokoletsky, B Awwad, Y Katz, I Nelken, I Lampl, ...
Journal of Neuroscience, 1642-19, 2019
322019
A retinal source of spatial contrast gain control
B Scholl, KW Latimer, NJ Priebe
The Journal of Neuroscience 32 (29), 9824-9830, 2012
252012
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
KW Latimer, EJ Chichilnisky, F Rieke, JW Pillow
Advances in neural information processing systems 27, 954-962, 2014
202014
Universal models for binary spike patterns using centered Dirichlet processes
IM Park, EW Archer, K Latimer, JW Pillow
Advances in neural information processing systems 26, 2463-2471, 2013
162013
Dopamine neurons evaluate natural fluctuations in performance quality
A Duffy, KW Latimer, JH Goldberg, AL Fairhall, V Gadagkar
Cell reports 38 (13), 2022
142022
Low-dimensional encoding of decisions in parietal cortex reflects long-term training history
KW Latimer, DJ Freedman
Nature Communications 14 (1), 1010, 2023
92023
No cause for pause: new analyses of ramping and stepping dynamics in LIP (Rebuttal to Response to Reply to Comment on Latimer et al. 2015)
KW Latimer, AC Huk, JW Pillow
bioRxiv, 160994, 2017
92017
Capturing multiple timescales of adaptation to second-order statistics with generalized linear models: gain scaling and fractional differentiation
KW Latimer, AL Fairhall
Frontiers in Systems Neuroscience 14, 60, 2020
62020
Superior colliculus activates new perspectives on decision-making
KW Latimer, AC Huk
Nature Neuroscience 24 (8), 1048-1050, 2021
32021
7 Bayesian inference for latent stepping and ramping models of spike train data
KW Latimer, AC Huk, JW Pillow
Advanced State Space Methods for Neural and Clinical Data, 160, 2015
32015
Nonlinear demixed component analysis for neural population data as a low-rank kernel regression problem
KW Latimer
Neurons, Behavior, Data analysis, and Theory 4 (1), 1-24, 2019
22019
Statistical approaches for unraveling the neural code in the visual system
KW Latimer
12015
Experience shapes initial exploration for non-generalizable spatial learning
MP Awh, KW Latimer, N Zhou, ZM Leveroni, ZM Stephens, JY Yu
bioRxiv, 2023.12. 26.573368, 2023
2023
Scalable nonparametric models for binary spike patterns
IM Park, EW Archer, K Latimer, JW Pillow
Computational and Systems Neuroscience Meeting (COSYNE 2014), 162-163, 2014
2014
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