PC Bressloff - Lecture notes on mathematical modelling in the life …, 2014 - Springer
This is a book on mathematical neuroscience, in which the unifying theme is wavelike phenomena at multiple spatial and temporal scales. There are already several excellent …
PC Bressloff, PC Bressloff - Waves in Neural Media: From Single Neurons …, 2014 - Springer
In this chapter, neural field theory is used to model binocular rivalry waves. During binocular rivalry, visual perception switches back and forth between different images presented to the …
Dendrites form the major components of neurons. They are complex branching structures that receive and process thousands of synaptic inputs from other neurons. It is well known …
R Naud, A Longtin - The Journal of Mathematical Neuroscience, 2019 - Springer
To establish and exploit novel biomarkers of demyelinating diseases requires a mechanistic understanding of axonal propagation. Here, we present a novel computational framework …
Y Timofeeva - Physica D: Nonlinear Phenomena, 2010 - Elsevier
Dendrites, the major components of neurons, have many different types of branching structures and are involved in receiving and integrating thousands of synaptic inputs from …
One way to achieve amplification of distal synaptic inputs on a dendritic tree is to scale the amplitude and/or duration of the synaptic conductance with its distance from the soma. This …
Neurons are characterised by a morphological structure unique amongst biological cells, the core of which is the dendritic tree. The vast number of dendritic geometries, combined with …
The spike-diffuse-spike (SDS) model describes a passive dendritic tree with active dendritic spines. Spine-head dynamics is modelled with a simple integrate-and-fire process, whilst …
DW Verzi, OY Noris - Bulletin of mathematical biology, 2009 - Springer
Dendritic spines are small, mushroom-like protrusions from the arbor of a neuron in the central nervous system. Interdependent changes in the morphology, biochemistry, and …