Insertion of a microelectrode into the brain to record/stimulate neurons damages neural
tissue and blood vessels and initiates the brain's wound healing response. Due to the large …

The meaning behind neural single unit activity has constantly been a challenge, so it will
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …

Computational techniques have significantly advanced our understanding of cardiac
electrophysiology, yet they have predominantly concentrated on averaged models that do …

Cell-based models of excitable tissues offer the advantage of cell-level precision, which
cannot be achieved using traditional homogenized electrophysiological models. However …

When recording neural activity from extracellular electrodes, both in vivo and in vitro, spike
sorting is a required and very important processing step that allows for identification of single …

Excitable cells are of vital importance in biology, and mathematical models have contributed
significantly to understand their basic mechanisms. However, classical models of excitable …

It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …

Multisite, silicon-based probes are widely used tools to record the electrical activity of
neuronal populations. Several physical features of these devices are designed to improve …

This open access volume presents a novel computational framework for understanding how
collections of excitable cells work. The key approach in the text is to model excitable tissue …

We develop multilevel methods for interface-driven multiphysics problems that can be
coupled across dimensions and where complexity and strength of the interface coupling …