Basic knowledge of calculus, linear algebra, differential equations and familiarity with MATLAB or Python is assumed. Also, students should have basic knowledge about essentials of (clinical) neurophysiology, although most concepts are shortly summarized in the first chapters. The audience includes advanced undergraduate or graduate students in Biomedical Engineering, Technical Medicine and Biology. Applied mathematicians may find pleasure in learning about the neurophysiology and clinical applications.  In addition, clinicians with an interest in dynamics of neural networks may find this book useful, too. weiterlesen