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ORCIDHenry C. Tuckwell
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2010 – 2019
- 2016
[j17]Henry C. Tuckwell, Susanne Ditlevsen
:
The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations. Neural Comput. 28(10): 2129-2161 (2016)- 2013
- [j16]Henry C. Tuckwell:
Biophysical properties and computational modeling of calcium spikes in serotonergic neurons of the dorsal raphe nucleus. Biosyst. 112(3): 204-213 (2013) - 2011
- [j15]Henry C. Tuckwell, Jürgen Jost:
The effects of various spatial distributions of weak noise on rhythmic spiking. J. Comput. Neurosci. 30(2): 361-371 (2011) - 2010
- [j14]Henry C. Tuckwell, Jürgen Jost:
Weak Noise in Neurons May Powerfully Inhibit the Generation of Repetitive Spiking but Not Its Propagation. PLoS Comput. Biol. 6(5) (2010)
2000 – 2009
- 2008
- [j13]Henry C. Tuckwell:
Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron. Neural Comput. 20(12): 3003-3033 (2008) - [j12]Boris S. Gutkin, Jürgen Jost, Henry C. Tuckwell:
Random perturbations of spiking activity in a pair of coupled neurons. Theory Biosci. 127(2): 135-139 (2008) - 2007
- [j11]Henry C. Tuckwell, Laurent Toubiana:
Dynamical modeling of viral spread in spatially distributed populations: stochastic origins of oscillations and density dependence. Biosyst. 90(2): 546-559 (2007) - 2005
- [j10]Pando G. Georgiev, Henry C. Tuckwell:
On the possible use of ICA to identify synaptic inputs from observations of several neurons. Neurocomputing 67: 450-455 (2005) - 2003
- [j9]Henry C. Tuckwell, Roger Rodriguez, Frederic Y. M. Wan:
Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model. Neural Comput. 15(1): 143-159 (2003) - 2002
- [j8]Henry C. Tuckwell, Frederic Y. M. Wan, Jean-Pierre Rospars:
A spatial stochastic neuronal model with Ornstein-Uhlenbeck input current. Biol. Cybern. 86(2): 137-145 (2002) - [j7]Henry C. Tuckwell, Frederic Y. M. Wan, Roger Rodriguez:
Analytical determination of firing times in stochastic nonlinear neural models. Neurocomputing 48(1-4): 1003-1007 (2002) - 2001
- [j6]Henry C. Tuckwell:
Cortical Potential Distributions and Information Processing. Neural Comput. 12(12): 2777-2795 (2001) - 2000
- [j5]Henry C. Tuckwell, Frederic Y. M. Wan:
First passage time to detection in stochastic population dynamical models for HIV-1. Appl. Math. Lett. 13(5): 79-83 (2000)
1990 – 1999
- 1999
- [i1]Henry C. Tuckwell:
Cortical Potential Distributions and Cognitive Information Processing. CoRR cond-mat/9902011 (1999) - 1998
- [j4]Henry C. Tuckwell, Roger Rodriguez:
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks. J. Comput. Neurosci. 5(1): 91-113 (1998) - 1997
- [j3]Henry C. Tuckwell, Petr Lánský:
On the simulation of biological diffusion processes. Comput. Biol. Medicine 27(1): 1-7 (1997) - 1996
- [j2]Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell, Arthur Vermeulen:
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron. J. Comput. Neurosci. 3(1): 51-72 (1996) - 1995
- [b1]Henry C. Tuckwell:
Elementary applications of probability theory - with an introduction to stochastic differential equations (2. ed.). Texts in statistical science series, Chapman and Hall 1995, ISBN 978-0-412-57620-1, pp. I-XV, 1-292 - [c1]Arthur Vermeulen, Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell:
Some new results on the coding of pheromone intensity in an olfactory sensory neuron. ESANN 1995
1980 – 1989
- 1984
- [j1]Henry C. Tuckwell:
Neuronal response to stochastic stimulation. IEEE Trans. Syst. Man Cybern. 14(3): 464-469 (1984)
Coauthor Index
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