| |
| 2007 | ||
|---|---|---|
| 9 | EE | Duane Q. Nykamp: Exploiting History-Dependent Effects to Infer Network Connectivity. SIAM Journal of Applied Mathematics 68(2): 354-391 (2007) |
| 2005 | ||
| 8 | EE | Duane Q. Nykamp: Revealing Pairwise Coupling in Linear-Nonlinear Networks. SIAM Journal of Applied Mathematics 65(6): 2005-2032 (2005) |
| 2003 | ||
| 7 | Duane Q. Nykamp: Spike Correlation Measures that Eliminate Stimulus Effects in Response to White Noise. Journal of Computational Neuroscience 14(2): 193-209 (2003) | |
| 6 | EE | Duane Q. Nykamp: White Noise Analysis of Coupled Linear-Nonlinear Systems. SIAM Journal of Applied Mathematics 63(4): 1208-1230 (2003) |
| 2002 | ||
| 5 | EE | Duane Q. Nykamp: Reconstructing Stimulus-Driven Neural Networks from Spike Times. NIPS 2002: 309-316 |
| 2001 | ||
| 4 | Duane Q. Nykamp, Daniel Tranchina: A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses. Neural Computation 13(3): 511-546 (2001) | |
| 3 | EE | 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) |
| 2000 | ||
| 2 | Duane Q. Nykamp, Daniel Tranchina: A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientation Tuning. Journal of Computational Neuroscience 8(1): 19-50 (2000) | |
| 1 | EE | Duane Q. Nykamp, Daniel Tranchina: Fast neural network simulations with population density methods. Neurocomputing 32-33: 487-492 (2000) |
| 1 | E. Haskell | [3] |
| 2 | Daniel Tranchina | [1] [2] [3] [4] |