D. Nykamp

发表

Permitted Sets and Convex Coding in Nonthreshold Linear Networks

Steven Collazos, D. Nykamp, 2022, Neural Computation.

Directed functional connectivity matures with motor learning in a cortical pattern 1 generator 2 Running head : Development of directed functional connectivity 3

Kyle L. Terleski, T. Nick, N. Day, 2012 .

Dynamics of a network of excitatory and inhibitory neurons induced by depolarization block

Christopher M. Kim, D. Nykamp, 2014, BMC Neuroscience.

Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size.

D. Tranchina, D. Q. Nykamp, E. Haskell, 2001, Network.

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

Duane Q. Nykamp, Christopher M. Kim, D. Nykamp, 2017, Journal of Computational Neuroscience.

Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory

A. Compte, K. Wimmer, D. Q. Nykamp, 2014, Nature Neuroscience.

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

Duane Q. Nykamp, Daniel Tranchina, D. Tranchina, 2004, Journal of Computational Neuroscience.

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

Duane Q. Nykamp, Daniel Tranchina, D. Tranchina, 2001, Neural Computation.

Fast neural network simulations with population density methods

Duane Q. Nykamp, Daniel Tranchina, D. Tranchina, 2000, Neurocomputing.

learning in a cortical pattern generator Directed functional connectivity matures with motor

Richard Bertram, Duane Q. Nykamp, Wei Wu, 2015 .

Directed functional connectivity matures with motor learning in a cortical pattern generator.

Kyle L. Terleski, D. Q. Nykamp, T. Nick, 2013, Journal of neurophysiology.

Dynamical changes in neurons during seizures determine tonic to clonic shift

Theoden I. Netoff, Duane Q. Nykamp, Bryce Beverlin, 2011, Journal of Computational Neuroscience.

Synchronization from Second Order Network Connectivity Statistics

Theoden I. Netoff, Duane Q. Nykamp, Bryce Beverlin, 2011, Front. Comput. Neurosci..

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

Christopher M. Kim, D. Nykamp, 2017, Journal of Computational Neuroscience.

Persistent sodium currents in mesencephalic v neurons participate in burst generation and control of membrane excitability.

E. Izhikevich, S. H. Chandler, N. Wu, 2005, Journal of neurophysiology.

Glutamate Receptor Activation of GIRK Channels Slow Synaptic Inhibition Mediated by Metabotropic

Stephen D. Shea, Kyle L. Terleski, S. Sherman, 2015 .

Dynamical changes in neurons during seizures determine tonic to clonic shift

T. Netoff, J. Kakalios, Bryce Beverlin, 2012, Journal of Computational Neuroscience.

Revealing Pairwise Coupling in Linear-Nonlinear Networks

Duane Q. Nykamp, D. Nykamp, 2005, SIAM J. Appl. Math..

Full identification of a linear-nonlinear system via cross-correlation analysis.

Duane Q Nykamp, Dario L Ringach, D. Ringach, 2002, Journal of vision.

Pinpointing connectivity despite hidden nodes within stimulus-driven networks.

Duane Q Nykamp, D. Nykamp, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Exploiting History-Dependent Effects to Infer Network Connectivity

Duane Q. Nykamp, D. Nykamp, 2007, SIAM J. Appl. Math..

A mathematical framework for inferring connectivity in probabilistic neuronal networks.

D. Q. Nykamp, D. Nykamp, 2007, Mathematical biosciences.

A stimulus-dependent connectivity analysis of neuronal networks

Duane Q Nykamp, D. Nykamp, 2009, Journal of mathematical biology.

White Noise Analysis of Coupled Linear-Nonlinear Systems

Duane Q. Nykamp, D. Nykamp, 2003, SIAM J. Appl. Math..

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

Duane Q. Nykamp, Chin-Yueh Liu, D. Nykamp, 2008, Journal of Computational Neuroscience.

Measuring linear and quadratic contributions to neuronal response

Duane Q Nykamp, D. Q. Nykamp, D. Nykamp, 2003, Network.

Searching for optimal stimuli: ascending a neuron’s response function

Duane Q. Nykamp, Melinda Evrithiki Koelling, M. Koelling, 2012, Journal of Computational Neuroscience.

Computing linear approximations to nonlinear neuronal responses

Duane Q Nykamp, Melinda E Koelling, M. Koelling, 2008, BMC Neuroscience.

Reconstructing Stimulus-Driven Neural Networks from Spike Times

Duane Q. Nykamp, D. Q. Nykamp, D. Nykamp, 2002, NIPS.