We present a process to automatically generate three-dimensional mesh representations of the complex, arborized cell membrane surface of cortical neurons (the principal information processing cells of the brain) from nonuniform morphological measurements. Starting from manually sampled morphological points (3D points and diameters) from neurons in a brain slice preparation, we construct a polygonal mesh representation that realistically represents the continuous membrane surface, closely matching the original experimental data. A mapping between the original morphological points and the newly generated mesh enables simulations of electrophysiolgical activity to be visualized on this new membrane representation. We compare the new mesh representation with the state of the art and present a series of use cases and applications of this technique to visualize simulations of single neurons and networks of multiple neurons.

Teams representing the USA and Europe engage in a battle of words and wits to establish "once and for all" which educational system produces the superior outcome. This "no holds barred" debate leaves no stone unturned in a search for truth on this question, providing a final answer to a controversy that has plagued our community since the inception of computing itself. Witness this historic moment in the history of CS education first hand!