Henry C. Tuckwell

发表

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

Henry C. Tuckwell, Laurent Toubiana, H. Tuckwell, 2005, Biosystems.

The effects of various spatial distributions of weak noise on rhythmic spiking

Henry C. Tuckwell, Jürgen Jost, J. Jost, 2011, Journal of Computational Neuroscience.

Analytical determination of firing times in stochastic nonlinear neural models

Henry C. Tuckwell, Frederic Y. M. Wan, Roger Rodriguez, 2002, Neurocomputing.

Stochastic processes in the neurosciences

Henry C. Tuckwell, H. Tuckwell, 1989 .

Introduction to Theoretical Neurobiology: The Lapicque model of the nerve cell

Henry C. Tuckwell, 1988 .

Introduction to theoretical neurobiology

Henry C. Tuckwell, H. Tuckwell, 1988 .

Random perturbations of spiking activity in a pair of coupled neurons

Boris S. Gutkin, Henry C. Tuckwell, Jürgen Jost, 2008, Theory in Biosciences.

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

Henry C. Tuckwell, Susanne Ditlevsen, H. Tuckwell, 2016, Neural Computation.

Weak Noise in Neurons May Powerfully Inhibit the Generation of Repetitive Spiking but Not Its Propagation

Henry C. Tuckwell, Jürgen Jost, J. Jost, 2010, PLoS Comput. Biol..

Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model

Henry C. Tuckwell, Frederic Y. M. Wan, Roger Rodriguez, 2003, Neural Computation.

First passage time to detection in stochastic population dynamical models for HIV-1

Henry C. Tuckwell, Frederic Y. M. Wan, H. Tuckwell, 2000, Appl. Math. Lett..

Stochastic Dynamics of Viral Transmission

Henry C. Tuckwell, Patrick D. Shipman, 2006 .

Introduction to Theoretical Neurobiology: Rail's model neuron

Henry C. Tuckwell, 1988 .

Simple random walks

Henry C. Tuckwell, H. Tuckwell, 1988 .

Estimation of Spike Train Statistics in Spontaneously Active Biological Neural Networks

Jianfeng Feng, Henry C. Tuckwell, Jianfeng Feng, 2007 .

Cortical Potential Distributions and Cognitive Information Processing

Henry C. Tuckwell, 1999, ArXiv.

Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron

Henry C. Tuckwell, H. Tuckwell, 2008, Neural Computation.

Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks

Henry C. Tuckwell, Roger Rodriguez, H. Tuckwell, 1998, Journal of Computational Neuroscience.

Biophysical properties and computational modeling of calcium spikes in serotonergic neurons of the dorsal raphe nucleus

Henry C. Tuckwell, H. Tuckwell, 2012, Biosyst..

Cortical Potential Distributions and Information Processing

Henry C. Tuckwell, H. Tuckwell, 2000, Neural Computation.

Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron

Henry C. Tuckwell, Petr Lánský, Jean-Pierre Rospars, 1996, Journal of Computational Neuroscience.

Simulation and random numbers

Henry C. Tuckwell, 1988 .

On the possible use of ICA to identify synaptic inputs from observations of several neurons

Henry C. Tuckwell, Pando G. Georgiev, P. Georgiev, 2005, Neurocomputing.

Some new results on the coding of pheromone intensity in an olfactory sensory neuron

Henry C. Tuckwell, Petr Lánský, Jean-Pierre Rospars, 1995, The European Symposium on Artificial Neural Networks.

A spatial stochastic neuronal model with Ornstein–Uhlenbeck input current

Henry C. Tuckwell, Jean-Pierre Rospars, Frederic Y. M. Wan, 2002, Biological Cybernetics.

Some Optimal Stochastic Control Problems in Neuroscience — a Review

Jianfeng Feng, Xiaojiang Chen, Henry C. Tuckwell, 2004 .

A review of basic probability theory

Henry C. Tuckwell, 1988 .

Elementary applications of probability theory - with an introduction to stochastic differential equations (2. ed.)

Henry C. Tuckwell, 1995, Texts in statistical science series.

Diffusion approximations to channel noise

Henry C. Tuckwell, H. Tuckwell, 1987 .

Mathematical modeling of spreading cortical depression: spiral and reverberating waves

Henry C. Tuckwell, H. Tuckwell, 2008 .

Introduction to Theoretical Neurobiology: Time-dependent cable theory for nerve cylinders and dendritic trees

Henry C. Tuckwell, 1988 .

Voltage clamp calculations for myelinated and demyelinated axons

Henry C. Tuckwell, H. Tuckwell, 2004, European Biophysics Journal.

Statistical properties of perturbative nonlinear random diffusion from stochastic integral representations

Henry C. Tuckwell, H. Tuckwell, 1987 .

Logistic Growth with Random Density Independent Disasters

Henry C. Tuckwell, Floyd B. Hanson, H. Tuckwell, 1981 .

Analysis of inverse stochastic resonance and the long-term firing of Hodgkin–Huxley neurons with Gaussian white noise

Henry C. Tuckwell, J. Jost, H. Tuckwell, 2012, 1202.2491.

Introduction to Theoretical Neurobiology: Vol. 1: Linear Cable Theory And Dendrite Structure; Vol. 2: Nonlinear and Stochastic Theories

Idan Segev, Henry C. Tuckwell, 1990 .

Inhibition of rhythmic neural spiking by noise: the occurrence of a minimum in activity with increasing noise

Boris S. Gutkin, Henry C. Tuckwell, Jürgen Jost, 2009, Naturwissenschaften.

Elementary applications of probability theory

Henry C. Tuckwell, 1988 .

Random Perturbations of the Reduced Fitzhugh-Nagumo Equation

Henry C. Tuckwell, 1992 .

Stochastic Partial Differential Equations in Neurobiology: Linear and Nonlinear Models for Spiking Neurons

Henry C. Tuckwell, H. Tuckwell, 2013 .

Random currents through nerve membranes

Henry C. Tuckwell, John B. Walsh, H. Tuckwell, 1983, Biological Cybernetics.

Cortical network modeling: Analytical methods for firing rates and some properties of networks of LIF neurons

Henry C. Tuckwell, H. Tuckwell, 2006, Journal of Physiology-Paris.

Time to first spike in stochastic Hodgkin–Huxley systems

Henry C. Tuckwell, Frederic Y. M. Wan, F. Wan, 2005 .

Use of Green's function matrices for systems of diffusion equations

Henry C. Tuckwell, H. Tuckwell, 1988 .

Elementary Applications of Probability Theory.

Henry C. Tuckwell, 1995 .

World population

Henry C. Tuckwell, James A. Koziol, H. Tuckwell, 1992, Nature.

Computational modeling of spike generation in serotonergic neurons of the dorsal raphe nucleus

Henry C. Tuckwell, H. Tuckwell, N. Penington, 2012, Progress in Neurobiology.

A Bayesian method for combining statistical tests

Henry C. Tuckwell, James A. Koziol, H. Tuckwell, 1999 .

Quantitative aspects of L-type Ca2+ currents

Henry C. Tuckwell, H. Tuckwell, 2012, Progress in Neurobiology.

On the first-exit time problem for temporally homogeneous Markov processes

Henry C. Tuckwell, H. Tuckwell, 1976 .

Techniques for obtaining analytical solutions for Rall's model neuron

Henry C. Tuckwell, H. Tuckwell, G. Bluman, 1987, Journal of Neuroscience Methods.

Transient termination of spiking by noise in coupled neurons

Henry C. Tuckwell, Boris Gutkin, Jürgen Jost, 2007 .

Spatial epidemic network models with viral dynamics

Henry C. Tuckwell, Laurent Toubiana, Jean-François Vibert, 1998 .

First-passage time of Markov processes to moving barriers

Henry C. Tuckwell, Frederic Y. M. Wan, H. Tuckwell, 1984, Journal of Applied Probability.

The response of a spatially distributed neuron to white noise current injection

Henry C. Tuckwell, Frederic Y. M. Wan, H. Tuckwell, 1979, Biological Cybernetics.

Moment analysis of the Hodgkin–Huxley system with additive noise

Henry C. Tuckwell, Jürgen Jost, J. Jost, 2009 .

Introduction to Theoretical Neurobiology: The stochastic activity of neurons

Henry C. Tuckwell, 1988 .