Kenneth D. Miller

24 papers A* 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations.
PLoS Comput. Biol.
Caleb J. Holt, Kenneth D. Miller, Yashar Ahmadian
2022 A* conf
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet.
ICLR
Michelle Miller, SueYeon Chung, Kenneth D. Miller
2013 J jnl
Analysis of the Stabilized Supralinear Network.
Neural Comput.
Yashar Ahmadian, Daniel B. Rubin, Kenneth D. Miller
2012 J jnl
Mathematical Equivalence of Two Common Forms of Firing Rate Models of Neural Networks.
Neural Comput.
Kenneth D. Miller, Francesco Fumarola
2011 J jnl
Learning unbelievable marginal probabilities
CoRR
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller
2011 — conf
Learning unbelievable probabilities.
NIPS
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller
2009 J jnl
Maximally Reliable Markov Chains Under Energy Constraints.
Neural Comput.
G. Sean Escola, Michael Eisele, Kenneth D. Miller, Liam Paninski
2004 J jnl
The contributions of inhibition and noise to responses in V1.
Neurocomputing
Thomas Z. Lauritzen, Kenneth D. Miller
2002 — conf
Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule.
NIPS
Michael Eisele, Kenneth D. Miller
2002 J jnl
Local correlation-based ("push-pull") circuitry can account for non-linear summation of stimuli in a model of cat V1.
Neurocomputing
Thomas Z. Lauritzen, Kenneth D. Miller
2001 J jnl
A model of cross-orientation inhibition in cat primary visual cortex.
Neurocomputing
Thomas Z. Lauritzen, Anton E. Krukowski, Kenneth D. Miller
2001 J jnl
A model of visual cortical temporal frequency tuning.
Neurocomputing
Anton E. Krukowski, Todd W. Troyer, Kenneth D. Miller
1999 J jnl
Cross-channel correlations in tetrode recordings: implications for spike-sorting.
Neurocomputing
Sergei P. Rebrik, Brian D. Wright, Alfred A. Emondi, Kenneth D. Miller
1998 J jnl
Equivalence of a Sprouting-And-Retraction Model and Correlation-Based Plasticity Models of Neural Development.
Neural Comput.
Kenneth D. Miller
1997 J jnl
Development of spatiotemporal receptive fields of simple cells: I. Model formulation.
Biol. Cybern.
Stefan Wimbauer, Oliver G. Wenisch, Kenneth D. Miller, J. Leo van Hemmen
1997 J jnl
Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis.
Biol. Cybern.
Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen, Kenneth D. Miller
1997 J jnl
Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cel.
Neural Comput.
Todd W. Troyer, Kenneth D. Miller
1994 J jnl
The Role of Constraints in Hebbian Learning.
Neural Comput.
Kenneth D. Miller, David J. C. MacKay
1990 J jnl
Analysis of Linsker's Simulations of Hebbian Rules.
Neural Comput.
David J. C. MacKay, Kenneth D. Miller
1990 J jnl
Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic Plasticity.
Neural Comput.
Kenneth D. Miller
1989 — conf
Analysis of Linsker's Simulations of Hebbian Rules.
NIPS
David J. C. MacKay, Kenneth D. Miller
1988 — conf
Models of Ocular Dominance Column Formation: Analytical and Computational Results.
NIPS
Kenneth D. Miller, Joseph B. Keller, Michael P. Stryker
1988 J jnl
Network model of ocular dominance column formation: Analytical results.
Neural Networks
Kenneth D. Miller, Joseph B. Keller, Michael P. Stryker
1988 J jnl
Network model of ocular dominance column formation: Computational results.
Neural Networks
Kenneth D. Miller, Michael P. Stryker, Joseph B. Keller