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Journal Articles
- 2024
[j5]C. Daniel Greenidge, Benjamin Scholl, Jacob L. Yates, Jonathan W. Pillow:
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression. Neural Comput. 36(2): 175-226 (2024)- 2021
- [j4]Richard D. Lange, Ankani Chattoraj
, Jeffrey M. Beck, Jacob L. Yates, Ralf M. Haefner:
A confirmation bias in perceptual decision-making due to hierarchical approximate inference. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j3]Yuan Zhao, Jacob L. Yates, Aaron J. Levi, Alexander C. Huk, Il Memming Park:
Stimulus-choice (mis)alignment in primate area MT. PLoS Comput. Biol. 16(5) (2020) - 2013
- [j2]Justin M. Ales, Jacob L. Yates, Anthony M. Norcia:
On determining the intracranial sources of visual evoked potentials from scalp topography: A reply to Kelly et al. (this issue). NeuroImage 64: 703-711 (2013) - 2010
- [j1]Justin M. Ales, Jacob L. Yates, Anthony M. Norcia:
V1 is not uniquely identified by polarity reversals of responses to upper and lower visual field stimuli. NeuroImage 52(4): 1401-1409 (2010)
Conference and Workshop Papers
- 2023
- [c2]Hadi Vafaii, Jacob L. Yates, Daniel Butts:
Hierarchical VAEs provide a normative account of motion processing in the primate brain. NeurIPS 2023 - 2014
- [c1]Karin C. Knudson, Jacob L. Yates, Alexander Huk, Jonathan W. Pillow:
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit. NIPS 2014: 1215-1223
Reference Works
- 2014
- [r1]Alexander C. Huk, Leor N. Katz, Jacob L. Yates:
Accumulation of Evidence in Decision Making. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2024
- [i3]Ruiming Cao, Dekel Galor, Amit P. S. Kohli, Jacob L. Yates, Laura Waller:
Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras. CoRR abs/2404.01298 (2024) - [i2]Hadi Vafaii, Dekel Galor, Jacob L. Yates:
Poisson Variational Autoencoder. CoRR abs/2405.14473 (2024) - 2019
- [i1]Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow:
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations. CoRR abs/1906.03318 (2019)
Coauthor Index
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last updated on 2024-06-20 21:30 CEST by the dblp team
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