A short course in mathematical neuroscience

This book has two main aims: to teach how mathematical models that illuminate some parts of neuroscience can be constructed, primarily by describing both “classic ” and more recent examples; and to explain mathematical methods by which these models can be analyzed, thus yielding pre-dictions and explanations that can be brought to bear on experimental data. Theory is becoming increasingly important in neuroscience [1], not least because recent developments in optogenetics, imaging and other experimental methods are creating very big data. Computational approaches already play a substantial rôle [59, 60], and modelers are becoming more ambitious: the Euro-pean Blue Brain project [184