Research output per year
Research output per year
- 27 results
Search results
-
2022
Permitted Sets and Convex Coding in Nonthreshold Linear Networks
Collazos, S. & Nykamp, D., Aug 16 2022, In: Neural computation. 34, 9, p. 1978-2008 31 p.Research output: Contribution to journal › Letter › peer-review
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2017
Mean-field equations for neuronal networks with arbitrary degree distributions
Nykamp, D. Q., Friedman, D., Shaker, S., Shinn, M., Vella, M., Compte, A. & Roxin, A., Apr 27 2017, In: Physical Review E. 95, 4, 042323.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons
Kim, C. M. & Nykamp, D. Q., Aug 1 2017, In: Journal of Computational Neuroscience. 43, 1, p. 65-79 15 p.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
2014
Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory
Wimmer, K., Nykamp, D. Q., Constantinidis, C. & Compte, A., Mar 2014, In: Nature neuroscience. 17, 3, p. 431-439 9 p.Research output: Contribution to journal › Article › peer-review
250 Scopus citations -
2013
Directed functional connectivity matures with motor learning in a cortical pattern generator
Day, N. F., Terleski, K. L., Nykamp, D. Q. & Nick, T. A., Feb 15 2013, In: Journal of neurophysiology. 109, 4, p. 913-923 11 p.Research output: Contribution to journal › Article › peer-review
17 Scopus citations -
2012
Dynamical changes in neurons during seizures determine tonic to clonic shift
Beverlin, B., Kakalios, J., Nykamp, D. & Netoff, T. I., Aug 2012, In: Journal of Computational Neuroscience. 33, 1, p. 41-51 11 p.Research output: Contribution to journal › Article › peer-review
18 Scopus citations -
Searching for optimal stimuli: Ascending a neuron's response function
Koelling, M. E. & Nykamp, D. Q., Dec 2012, In: Journal of Computational Neuroscience. 33, 3, p. 449-473 25 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
2011
Synchronization from second order network connectivity statistics
Zhao, L., Beverlin, B., Netoff, T. & Nykamp, D. Q., Jul 8 2011, In: Frontiers in Computational Neuroscience. 5, 28.Research output: Contribution to journal › Article › peer-review
68 Scopus citations -
2009
A kinetic theory approach to capturing interneuronal correlation: The feed-forward case
Liu, C. Y. & Nykamp, D. Q., 2009, In: Journal of Computational Neuroscience. 26, 3, p. 339-368 30 p.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
A stimulus-dependent connectivity analysis of neuronal networks
Nykamp, D. Q., Aug 2009, In: Journal of Mathematical Biology. 59, 2, p. 147-173 27 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
2008
Computing linear approximations to nonlinear neuronal response
Koelling, M. E. & Nykamp, D. Q., 2008, In: Network: Computation in Neural Systems. 19, 4, p. 286-313 28 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Pinpointing connectivity despite hidden nodes within stimulus-driven networks
Nykamp, D. Q., Aug 6 2008, In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 78, 2, 021902.Research output: Contribution to journal › Article › peer-review
12 Scopus citations -
2007
A mathematical framework for inferring connectivity in probabilistic neuronal networks
Nykamp, D. Q., Feb 2007, In: Mathematical Biosciences. 205, 2, p. 204-251 48 p.Research output: Contribution to journal › Article › peer-review
39 Scopus citations -
Exploiting history-dependent effects to infer network connectivity
Nykamp, D. Q., 2007, In: SIAM Journal on Applied Mathematics. 68, 2, p. 354-391 38 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
2005
Persistent sodium currents in mesencephalic V neurons participate in burst generation and control of membrane excitability
Wu, N., Enomoto, A., Tanaka, S., Hsiao, C. F., Nykamp, D. Q., Izhikevich, E. & Chandler, S. H., May 2005, In: Journal of neurophysiology. 93, 5, p. 2710-2722 13 p.Research output: Contribution to journal › Article › peer-review
119 Scopus citations -
Revealing pairwise coupling in linear-nonlinear networks
Nykamp, D. Q., 2005, In: SIAM Journal on Applied Mathematics. 65, 6, p. 2005-2032 28 p.Research output: Contribution to journal › Article › peer-review
25 Scopus citations -
2003
Measuring linear and quadratic contributions to neuronal response
Nykamp, D. Q., Nov 2003, In: Network: Computation in Neural Systems. 14, 4, p. 673-702 30 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Reconstructing stimulus-driven neural networks from spike times
Nykamp, D. Q., Jan 1 2003, Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Neural information processing systems foundationResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
6 Scopus citations -
Spike correlation measures that eliminate stimulus effects in response to white noise
Nykamp, D. Q., 2003, In: Journal of Computational Neuroscience. 14, 2, p. 193-209 17 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
White noise analysis of coupled linear-nonlinear systems
Nykamp, D. Q., Mar 2003, In: SIAM Journal on Applied Mathematics. 63, 4, p. 1208-1230 23 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
2002
Full identification of a linear-nonlinear system via cross-correlation analysis
Nykamp, D. Q. & Ringach, D. L., Jan 2 2002, In: Journal of vision. 2, 1, p. 1-11 11 p.Research output: Contribution to journal › Article › peer-review
43 Scopus citations -
Reconstructing Stimulus-Driven Neural Networks from Spike Times
Nykamp, D. Q., 2002, NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. Becker, S., Thrun, S. & Obermayer, K. (eds.). MIT Press Journals, p. 309-316 8 p. (NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
2001
A population density approach that facilitates large-scale modeling of neural networks: Extension to slow inhibitory synapses
Nykamp, D. Q. & Tranchina, D., Mar 2001, In: Neural computation. 13, 3, p. 511-546 36 p.Research output: Contribution to journal › Article › peer-review
50 Scopus citations -
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics
Haskell, E., Nykamp, D. Q. & Tranchina, D., Jun 2001, In: Neurocomputing. 38-40, p. 627-632 6 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: Cutting the dimension down to size
Haskell, E., Nykamp, D. Q. & Tranchina, D., May 2001, In: Network: Computation in Neural Systems. 12, 2, p. 141-174 34 p.Research output: Contribution to journal › Article › peer-review
71 Scopus citations -
2000
A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application to orientation tuning
Nykamp, D. Q. & Tranchina, D., 2000, In: Journal of Computational Neuroscience. 8, 1, p. 19-50 32 p.Research output: Contribution to journal › Article › peer-review
186 Scopus citations -
Fast neural network simulations with population density methods
Nykamp, D. Q. & Tranchina, D., Jun 2000, In: Neurocomputing. 32-33, p. 487-492 6 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations