Large scale studies of spiking neural networks are a key part of modern approaches to
understanding the dynamics of biological neural tissue. One approach in computational …

There is evidence that ice age cycles are paced by astronomical forcing, suggesting some
kind of synchronisation phenomenon. Here, we identify the type of such synchronisation and …

In this study, we present a theoretical framework combining experimental characterizations
and analytical calculus to capture the firing rate input-output properties of single neurons in …

In this paper, we study pairs of oscillators that are indirectly coupled via active (excitable)
cells. We introduce a scalar phase model for coupled oscillators and excitable cells. We first …

Although variability is a ubiquitous characteristic of the nervous system, under appropriate
conditions neurons can generate precisely timed action potentials. Thus considerable …

Our goal is to understand how excitable cells and oscillatory cells interact with each other
and, ultimately, decide if excitable cells can generate macroscopic oscillations that persist in …

Dendrites form the major components of neurons. They are complex branching structures
that receive and process thousands of synaptic inputs from other neurons. The impulse …

La presente tesis trata del diseño y fabricación de un nuevo dispositivo para registrar la
actividad eléctrica neuronal espontánea y estimulada farmacológicamente, en redes …

Dendrites are the most visually striking parts of neurons. Even so many neuron models are
of point type and have no representation of space. In this thesis we will look at a range of …