Henry C. Tuckwell

According to our database1, Henry C. Tuckwell authored at least 20 papers between 1984 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2016
The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations.
Neural Comput., 2016

2013
Biophysical properties and computational modeling of calcium spikes in serotonergic neurons of the dorsal raphe nucleus.
Biosyst., 2013

2011
The effects of various spatial distributions of weak noise on rhythmic spiking.
J. Comput. Neurosci., 2011

2010
Weak Noise in Neurons May Powerfully Inhibit the Generation of Repetitive Spiking but Not Its Propagation.
PLoS Comput. Biol., 2010

2008
Random perturbations of spiking activity in a pair of coupled neurons.
Theory Biosci., 2008

Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron.
Neural Comput., 2008

2007
Dynamical modeling of viral spread in spatially distributed populations: stochastic origins of oscillations and density dependence.
Biosyst., 2007

2005
On the possible use of ICA to identify synaptic inputs from observations of several neurons.
Neurocomputing, 2005

2003
Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model.
Neural Comput., 2003

2002
Analytical determination of firing times in stochastic nonlinear neural models.
Neurocomputing, 2002

A spatial stochastic neuronal model with Ornstein-Uhlenbeck input current.
Biol. Cybern., 2002

2001
Cortical Potential Distributions and Information Processing.
Neural Comput., 2001

2000
First passage time to detection in stochastic population dynamical models for HIV-1.
Appl. Math. Lett., 2000

1999
Cortical Potential Distributions and Cognitive Information Processing
CoRR, 1999

1998
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks.
J. Comput. Neurosci., 1998

1997
On the simulation of biological diffusion processes.
Comput. Biol. Medicine, 1997

1996
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron.
J. Comput. Neurosci., 1996

1995
Some new results on the coding of pheromone intensity in an olfactory sensory neuron.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

Elementary applications of probability theory - with an introduction to stochastic differential equations (2. ed.).
Texts in statistical science series, Chapman and Hall, ISBN: 978-0-412-57620-1, 1995

1984
Neuronal response to stochastic stimulation.
IEEE Trans. Syst. Man Cybern., 1984


  Loading...