Duane Q. Nykamp

According to our database, Duane Q. Nykamp authored at least 15 papers between 2000 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Permitted Sets and Convex Coding in Nonthreshold Linear Networks.

Steven Collazos, Duane Q. Nykamp

Neural Comput., 2022

2017

The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons.

Christopher M. Kim, Duane Q. Nykamp

J. Comput. Neurosci., 2017

2012

Searching for optimal stimuli: ascending a neuron's response function.

Melinda Evrithiki Koelling, Duane Q. Nykamp

J. Comput. Neurosci., 2012

Dynamical changes in neurons during seizures determine tonic to clonic shift.

Bryce Beverlin II, James Kakalios, Duane Q. Nykamp, Theoden I. Netoff

J. Comput. Neurosci., 2012

2011

Synchronization from Second Order Network Connectivity Statistics.

Liqiong Zhao, Bryce Beverlin II, Theoden I. Netoff, Duane Q. Nykamp

Frontiers Comput. Neurosci., 2011

2009

A kinetic theory approach to capturing interneuronal correlation: the feed-forward case.

Chin-Yueh Liu, Duane Q. Nykamp

J. Comput. Neurosci., 2009

2007

Exploiting History-Dependent Effects to Infer Network Connectivity.

Duane Q. Nykamp

SIAM J. Appl. Math., 2007

2005

Revealing Pairwise Coupling in Linear-Nonlinear Networks.

Duane Q. Nykamp

SIAM J. Appl. Math., 2005

2003

White Noise Analysis of Coupled Linear-Nonlinear Systems.

Duane Q. Nykamp

SIAM J. Appl. Math., 2003

Spike Correlation Measures that Eliminate Stimulus Effects in Response to White Noise.

Duane Q. Nykamp

J. Comput. Neurosci., 2003

2002

Reconstructing Stimulus-Driven Neural Networks from Spike Times.

Duane Q. Nykamp

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses.

Duane Q. Nykamp, Daniel Tranchina

Neural Comput., 2001

A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics.

E. Haskell, Duane Q. Nykamp, Daniel Tranchina

Neurocomputing, 2001

2000

A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientation Tuning.

Duane Q. Nykamp, Daniel Tranchina

J. Comput. Neurosci., 2000

Fast neural network simulations with population density methods.

Duane Q. Nykamp, Daniel Tranchina

Neurocomputing, 2000