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ORCIDDuane Q. Nykamp
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2020 – today
- 2022
[j14]Steven Collazos, Duane Q. Nykamp:
Permitted Sets and Convex Coding in Nonthreshold Linear Networks. Neural Comput. 34(9): 1978-2008 (2022)
2010 – 2019
- 2017
- [j13]Christopher M. Kim
, Duane Q. Nykamp:
The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons. J. Comput. Neurosci. 43(1): 65-79 (2017) - 2012
- [j12]Bryce Beverlin II, James Kakalios, Duane Q. Nykamp, Theoden I. Netoff:
Dynamical changes in neurons during seizures determine tonic to clonic shift. J. Comput. Neurosci. 33(1): 41-51 (2012) - [j11]Melinda Evrithiki Koelling, Duane Q. Nykamp:
Searching for optimal stimuli: ascending a neuron's response function. J. Comput. Neurosci. 33(3): 449-473 (2012) - 2011
- [j10]Liqiong Zhao, Bryce Beverlin II, Theoden I. Netoff, Duane Q. Nykamp:
Synchronization from Second Order Network Connectivity Statistics. Frontiers Comput. Neurosci. 5: 28 (2011)
2000 – 2009
- 2009
- [j9]Chin-Yueh Liu, Duane Q. Nykamp:
A kinetic theory approach to capturing interneuronal correlation: the feed-forward case. J. Comput. Neurosci. 26(3): 339-368 (2009) - 2007
- [j8]Duane Q. Nykamp:
Exploiting History-Dependent Effects to Infer Network Connectivity. SIAM J. Appl. Math. 68(2): 354-391 (2007) - 2005
- [j7]Duane Q. Nykamp:
Revealing Pairwise Coupling in Linear-Nonlinear Networks. SIAM J. Appl. Math. 65(6): 2005-2032 (2005) - 2003
- [j6]Duane Q. Nykamp:
Spike Correlation Measures that Eliminate Stimulus Effects in Response to White Noise. J. Comput. Neurosci. 14(2): 193-209 (2003) - [j5]Duane Q. Nykamp:
White Noise Analysis of Coupled Linear-Nonlinear Systems. SIAM J. Appl. Math. 63(4): 1208-1230 (2003) - 2002
- [c1]Duane Q. Nykamp:
Reconstructing Stimulus-Driven Neural Networks from Spike Times. NIPS 2002: 309-316 - 2001
- [j4]E. Haskell, Duane Q. Nykamp, Daniel Tranchina:
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics. Neurocomputing 38-40: 627-632 (2001) - [j3]Duane Q. Nykamp, Daniel Tranchina:
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses. Neural Comput. 13(3): 511-546 (2001) - 2000
- [j2]Duane Q. Nykamp, Daniel Tranchina:
Fast neural network simulations with population density methods. Neurocomputing 32-33: 487-492 (2000) - [j1]Duane Q. Nykamp, Daniel Tranchina:
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientation Tuning. J. Comput. Neurosci. 8(1): 19-50 (2000)
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