#### Filter Results:

- Full text PDF available (105)

#### Publication Year

1975

2017

#### Publication Type

#### Co-author

#### Publication Venue

#### Brain Region

#### Cell Type

#### Key Phrases

#### Method

#### Organism

Learn More

- H C Tuckwell, R M Miura
- Biophysical journal
- 1978

A mathematical model is derived from physiological considerations for slow potential waves (called spreading depression) in cortical neuronal structures. The variables taken into account are the intra- and extracellular concentrations of Na+, Cl-, K+, and Ca++, together with excitatory and inhibitor transmitter substances. The general model includes… (More)

- Henry C Tuckwell, Nicholas J Penington
- Progress in neurobiology
- 2014

Serotonergic neurons of the dorsal raphe nucleus, with their extensive innervation of limbic and higher brain regions and interactions with the endocrine system have important modulatory or regulatory effects on many cognitive, emotional and physiological processes. They have been strongly implicated in responses to stress and in the occurrence of major… (More)

- H C Tuckwell, F Y Wan
- IMA journal of mathematics applied in medicine…
- 2000

We examine some simple mathematical models which have been recently employed to predict the evolution of population dynamical systems involving virus particles. They include: (1) A general two-component antibody-viral system; (2) A simplified two-component model for HIV-1 dynamics (3) An HIV-1 three-component model including virions and (4) A four-component… (More)

- H C Tuckwell
- Journal of theoretical biology
- 1979

A stochastic model equation for nerve membrane depolarization is derived which incorporates properties of synaptic transmission with a Rall-Eccles circuit for a trigger zone. If input processes are Poisson the depolarization is a Markov process for which equations for the moments of the interspike interval can be written down. An analytic result for the… (More)

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

An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stochastic differential equations--the Fitzhugh-Nagumo system with Gaussian white noise current. For a single neuron, five equations hold for the first- and second-order central… (More)

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

The coding of odor intensity by an olfactory receptor neuron model was studied under steady-state stimulation. Our model neuron is an elongated cylinder consisting of the following three components: a sensory dendritic region bearing odorant receptors, a passive region consisting of proximal dendrite and cell body, and an axon. First, analytical solutions… (More)

- Henry C Tuckwell
- Progress in neurobiology
- 2012

Ca(2+) currents in neurons and muscle cells have been classified as being one of 5 types, of which four, L, N, P/Q and R were said to be high threshold and one, T, was designated low threshold. This review focuses on quantitative aspects of L-type currents. L-type channels are now distinguished according to their structure as one of four main subtypes… (More)

- R Lestienne, H C Tuckwell
- Neuroscience
- 1998

Neuronal spike trains from both single and multi-unit recordings often contain patterns such as doublets and triplets of spikes that precisely replicate themselves at a later time. The presence of such precisely replicating patterns can still be detected when the tolerance on interval replication is shortened to a fraction of a millisecond. In this context… (More)

- H C Tuckwell
- Biological cybernetics
- 1975

Stein's model for a neuron receiving randomly arriving post-synaptic potentials is studied from an analytic viewpoint, using some recent results in the theory of first passage times for temporally homogeneous Markov processes. The case when the only input is excitatory can be treated exactly. It is shown that the moments of the firing time are guaranteed to… (More)

Dynamical stochastic models of single neurons and neural networks often take the form of a system of nу2 coupled stochastic differential equations. We consider such systems under the assumption that third and higher order central moments are relatively small. In the general case, a system of 1 2 n(nϩ3) ͑generally͒ nonlinear coupled ordinary differential… (More)