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Duane Q. Nykamp, Ph.D. - Publications

Affiliations: 
New York University, New York, NY, United States 
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35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Collazos S, Nykamp D. Permitted Sets and Convex Coding in Nonthreshold Linear Networks. Neural Computation. 34: 1978-2008. PMID 35896154 DOI: 10.1162/neco_a_01523  0.543
2017 Kim CM, Nykamp DQ. The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons. Journal of Computational Neuroscience. PMID 28528529 DOI: 10.1007/S10827-017-0647-7  0.577
2017 Nykamp DQ, Friedman D, Shaker S, Shinn M, Vella M, Compte A, Roxin A. Mean-field equations for neuronal networks with arbitrary degree distributions. Physical Review. E. 95: 042323. PMID 28505854 DOI: 10.1103/Physreve.95.042323  0.654
2014 Kim C, Nykamp DQ. Dynamics of a network of excitatory and inhibitory neurons induced by depolarization block Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P76  0.63
2013 Day NF, Terleski KL, Nykamp DQ, Nick TA. Directed functional connectivity matures with motor learning in a cortical pattern generator. Journal of Neurophysiology. 109: 913-23. PMID 23175804 DOI: 10.1152/Jn.00937.2012  0.512
2013 Campbell P, Nykamp DQ, Buice M. The influence of network structure on neuronal dynamics Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P45  0.535
2012 Koelling ME, Nykamp DQ. Searching for optimal stimuli: ascending a neuron's response function. Journal of Computational Neuroscience. 33: 449-73. PMID 22580579 DOI: 10.1007/S10827-012-0395-7  0.566
2012 Beverlin B, Kakalios J, Nykamp D, Netoff TI. Dynamical changes in neurons during seizures determine tonic to clonic shift. Journal of Computational Neuroscience. 33: 41-51. PMID 22127761 DOI: 10.1007/S10827-011-0373-5  0.584
2012 Nykamp DQ. The influence of network structure on neuronal network dynamics Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P79  0.546
2011 Zhao L, Beverlin B, Netoff T, Nykamp DQ. Synchronization from second order network connectivity statistics. Frontiers in Computational Neuroscience. 5: 28. PMID 21779239 DOI: 10.3389/Fncom.2011.00028  0.601
2011 Nykamp DQ, Roxin A, Compte A. The influence of network topology on synchrony and oscillations in networks of spiking neurons Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P44  0.658
2010 Liu C, Nykamp DQ. A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P50  0.686
2010 Nichols DJ, Sandler DR, Schlatter MJ, Zhao L, Nykamp DQ. Network structure predicted by second order motifs Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P43  0.499
2009 Liu CY, Nykamp DQ. A kinetic theory approach to capturing interneuronal correlation: the feed-forward case. Journal of Computational Neuroscience. 26: 339-68. PMID 18987967 DOI: 10.1007/S10827-008-0116-4  0.607
2009 Nykamp DQ. A stimulus-dependent connectivity analysis of neuronal networks. Journal of Mathematical Biology. 59: 147-73. PMID 18830595 DOI: 10.1007/S00285-008-0224-9  0.622
2009 Nykamp DQ. Toward a second order description of neuronal networks Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P168  0.58
2009 Liu C, Nykamp DQ. A kinetic theory network model to capture first and second order statistics of population activity in large-scale neuronal networks Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P154  0.629
2008 Koelling ME, Nykamp DQ. Computing linear approximations to nonlinear neuronal response. Network (Bristol, England). 19: 286-313. PMID 18991145 DOI: 10.1080/09548980802503139  0.521
2008 Nykamp DQ. Pinpointing connectivity despite hidden nodes within stimulus-driven networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 021902. PMID 18850860 DOI: 10.1103/Physreve.78.021902  0.39
2008 Liu C, Nykamp DQ. Capturing correlation structure within a simplified population density framework Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P7  0.362
2007 Nykamp DQ. A mathematical framework for inferring connectivity in probabilistic neuronal networks. Mathematical Biosciences. 205: 204-51. PMID 17070863 DOI: 10.1016/J.Mbs.2006.08.020  0.507
2007 Liu C, Nykamp DQ. A population density framework that captures interneuronal correlations Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P25  0.658
2007 Nykamp DQ. Network reconstruction in the presence of unmeasured neurons Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P20  0.671
2007 Nykamp DQ. Exploiting history-dependent effects to infer network connectivity Siam Journal On Applied Mathematics. 68: 354-391. DOI: 10.1137/070683350  0.396
2005 Wu N, Enomoto A, Tanaka S, Hsiao CF, Nykamp DQ, Izhikevich E, Chandler SH. Persistent sodium currents in mesencephalic v neurons participate in burst generation and control of membrane excitability. Journal of Neurophysiology. 93: 2710-22. PMID 15625100 DOI: 10.1152/Jn.00636.2004  0.47
2005 Nykamp DQ. Revealing pairwise coupling in linear-nonlinear networks Siam Journal On Applied Mathematics. 65: 2005-2032. DOI: 10.1137/S0036139903437072  0.416
2003 Nykamp DQ. Measuring linear and quadratic contributions to neuronal response. Network (Bristol, England). 14: 673-702. PMID 14653498 DOI: 10.1088/0954-898X_14_4_304  0.417
2003 Nykamp DQ. Spike correlation measures that eliminate stimulus effects in response to white noise. Journal of Computational Neuroscience. 14: 193-209. PMID 12567017 DOI: 10.1023/A:1021958802403  0.395
2003 Nykamp DQ. White noise analysis of coupled linear-nonlinear systems Siam Journal On Applied Mathematics. 63: 1208-1230. DOI: 10.1137/S0036139901397571  0.317
2003 Nykamp DQ. Reconstructing stimulus-driven neural networks from spike times Advances in Neural Information Processing Systems.  0.317
2001 Haskell E, Nykamp DQ, Tranchina D. Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size. Network (Bristol, England). 12: 141-74. PMID 11405420 DOI: 10.1080/Net.12.2.141.174  0.708
2001 Nykamp DQ, Tranchina D. A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses. Neural Computation. 13: 511-46. PMID 11244554 DOI: 10.1162/089976601300014448  0.814
2001 Haskell E, Nykamp DQ, Tranchina D. A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics Neurocomputing. 38: 627-632. DOI: 10.1016/S0925-2312(01)00407-6  0.705
2000 Nykamp DQ, Tranchina D. A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. Journal of Computational Neuroscience. 8: 19-50. PMID 10798498 DOI: 10.1023/A:1008912914816  0.808
2000 Nykamp DQ, Tranchina D. Fast neural network simulations with population density methods Neurocomputing. 32: 487-492. DOI: 10.1016/S0925-2312(00)00203-4  0.804
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