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ORCIDAlan A. Stocker
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- affiliation: New York University, USA
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2020 – today
- 2021
[j6]Long Luu
, Alan A. Stocker:
Categorical judgments do not modify sensory representations in working memory. PLoS Comput. Biol. 17(6) (2021)
2010 – 2019
- 2016
- [j5]Xue-Xin Wei, Alan A. Stocker:
Mutual Information, Fisher Information, and Efficient Coding. Neural Comput. 28(2): 305-326 (2016) - [j4]Zhuo Wang, Alan A. Stocker, Daniel D. Lee:
Efficient Neural Codes That Minimize Lp Reconstruction Error. Neural Comput. 28(12): 2656-2686 (2016) - [c19]Pedro A. Ortega, Alan A. Stocker:
Human Decision-Making under Limited Time. NIPS 2016: 100-108 - [c18]Zhuo Wang, Xue-Xin Wei, Alan A. Stocker, Daniel D. Lee:
Efficient Neural Codes under Metabolic Constraints. NIPS 2016: 4619-4627 - [i1]Pedro A. Ortega, Alan A. Stocker:
Human Decision-Making under Limited Time. CoRR abs/1610.01698 (2016) - 2015
- [c17]Pedro A. Ortega, Daniel D. Lee, Alan A. Stocker:
Causal reasoning in a prediction task with hidden causes. CogSci 2015 - 2014
- [j3]Adam M. Gifford, Yale E. Cohen, Alan A. Stocker:
Characterizing the Impact of Category Uncertainty on Human Auditory Categorization Behavior. PLoS Comput. Biol. 10(7) (2014) - 2013
- [c16]Zhuo Wang, Alan A. Stocker, Daniel D. Lee:
Optimal Neural Population Codes for High-dimensional Stimulus Variables. NIPS 2013: 297-305 - [c15]Matjaz Jogan, Alan A. Stocker:
Optimal integration of visual speed across different spatiotemporal frequency channels. NIPS 2013: 3201-3209 - 2012
- [c14]Xue-Xin Wei, Alan A. Stocker:
Bayesian Inference with Efficient Neural Population Codes. ICANN (1) 2012: 523-530 - [c13]Xue-Xin Wei, Alan A. Stocker:
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference. NIPS 2012: 1313-1321 - [c12]Zhuo Wang, Alan A. Stocker, Daniel D. Lee:
"Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss". NIPS 2012: 2177-2185
2000 – 2009
- 2009
- [j2]Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli:
Is the Homunculus "Aware" of Sensory Adaptation? Neural Comput. 21(12): 3271-3304 (2009) - 2008
- [c11]Alan Stocker, Pierre Villeneuve:
Generalized Chromodynamic Detection. IGARSS (2) 2008: 609-612 - 2007
- [c10]Alan Stocker, Eero P. Simoncelli:
A Bayesian Model of Conditioned Perception. NIPS 2007: 1409-1416 - 2005
- [c9]Vlatko Becanovic, Stefan Kubina, Alan A. Stocker:
An embedded vision system based on an analog VLSI vision sensor [robot vision applications]. ISCAS (3) 2005: 2767-2770 - [c8]Alan Stocker, Eero P. Simoncelli:
Sensory Adaptation within a Bayesian Framework for Perception. NIPS 2005: 1289-1296 - 2004
- [j1]Alan A. Stocker:
Analog VLSI focal-plane array with dynamic connections for the estimation of piecewise-smooth optical flow. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(5): 963-973 (2004) - [c7]Alan P. Schaum, Alan Stocker:
Advanced Algorithms for Autonomous Hyperspectral Change Detection. AIPR 2004: 33-38 - [c6]Alan A. Stocker, Rodney J. Douglas:
Analog integrated 2-D optical flow sensor with programmable pixels. ISCAS (3) 2004: 9-12 - [c5]Alan Stocker, Eero P. Simoncelli:
Constraining a Bayesian Model of Human Visual Speed Perception. NIPS 2004: 1361-1368 - 2003
- [c4]Alan A. Stocker:
Compact integrated transconductance amplifier circuit for temporal differentiation. ISCAS (1) 2003: 201-204 - 2002
- [c3]Jakob Heinzle, Alan Stocker:
Classifying Patterns of Visual Motion - a Neuromorphic Approach. NIPS 2002: 1123-1130 - 2001
- [b1]Alan A. Stocker:
Constraint optimization networks for visual motion perception: analysis and synthesis. ETH Zurich, Zürich, Switzerland, 2001
1990 – 1999
- 1998
- [c2]Alan Stocker, Rodney J. Douglas:
Computation of Smooth Optical Flow in a Feedback Connected Analog Network. NIPS 1998: 706-712 - 1996
- [c1]Alan A. Stocker, Outi Sipilä, Ari Visa, Oili Salonen, Toivo Katila:
Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images. ICPR 1996: 472-476
Coauthor Index
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