Kenneth D. Miller - researchr alias

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2022

Divisive Feature Normalization Improves Image Recognition Performance in AlexNetMichelle Miller, SueYeon Chung, Kenneth D. Miller. iclr 2022: [doi]

2013

Analysis of the Stabilized Supralinear NetworkYashar Ahmadian, Daniel B. Rubin, Kenneth D. Miller. neco, 25(8):1994-2037, 2013. [doi]

2012

Mathematical Equivalence of Two Common Forms of Firing Rate Models of Neural NetworksKenneth D. Miller, Francesco Fumarola. neco, 24(1):25-31, 2012. [doi]

2011

Learning unbelievable probabilitiesXaq Pitkow, Yashar Ahmadian, Kenneth D. Miller. nips 2011: 738-746 [doi]

2009

Maximally Reliable Markov Chains Under Energy ConstraintsSean Escola, Michael Eisele, Kenneth D. Miller, Liam Paninski. neco, 21(7):1863-1912, 2009. [doi]

2004

The contributions of inhibition and noise to responses in V1Thomas Z. Lauritzen, Kenneth D. Miller. ijon, 58-60:901-907, 2004. [doi]

2002

Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning RuleMichael Eisele, Kenneth D. Miller. nips 2003: 237-244 [doi]

Local correlation-based ( push-pull ) circuitry can account for non-linear summation of stimuli in a model of cat V1Thomas Z. Lauritzen, Kenneth D. Miller. ijon, 44-46:509-513, 2002. [doi]

2001

A model of visual cortical temporal frequency tuningAnton E. Krukowski, Todd W. Troyer, Kenneth D. Miller. ijon, 38-40:1379-1383, 2001. [doi]

A model of cross-orientation inhibition in cat primary visual cortexThomas Z. Lauritzen, Anton E. Krukowski, Kenneth D. Miller. ijon, 38-40:757-762, 2001. [doi]

1999

Cross-channel correlations in tetrode recordings: implications for spike-sortingSergei P. Rebrik, Brian D. Wright, Alfred A. Emondi, Kenneth D. Miller. ijon, 26-27:1033-1038, 1999. [doi]

1998

Equivalence of a Sprouting-And-Retraction Model and Correlation-Based Plasticity Models of Neural DevelopmentKenneth D. Miller. neco, 10(3):529-547, 1998.

1997

Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking CelTodd W. Troyer, Kenneth D. Miller. neco, 9(5):971-983, 1997. [doi]

1994

The Role of Constraints in Hebbian LearningKenneth D. Miller, David J. C. MacKay. neco, 6(1):100-126, 1994. [doi]

1990

Analysis of Linsker's Simulations of Hebbian RulesDavid J. C. MacKay, Kenneth D. Miller. neco, 2(2):173-187, 1990. [doi]

Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic PlasticityKenneth D. Miller. neco, 2(3):321-333, 1990. [doi]

1989

Analysis of Linsker s Simulations of Hebbian RulesDavid J. C. MacKay, Kenneth D. Miller. nips 1990: 694-701 [doi]

1988

Models of Ocular Dominance Column Formation: Analytical and Computational ResultsKenneth D. Miller, Joseph B. Keller, Michael P. Stryker. nips 1989: 375-383 [doi]

Network model of ocular dominance column formation: Analytical resultsKenneth D. Miller, Joseph B. Keller, Michael P. Stryker. NN, 1(Supplement-1):266, 1988. [doi]

Network model of ocular dominance column formation: Computational resultsKenneth D. Miller, Michael P. Stryker, Joseph B. Keller. NN, 1(Supplement-1):267, 1988. [doi]

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