96783 - Biomedical Mathematical Models

Academic Year 2026/2027

  • Moduli: Giovanna Citti (Modulo 1) Maria Carla Tesi (Modulo 2)
  • Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Mathematics (cod. 6730)

Learning outcomes

At the end of the course, the student has knowledge of analytic approach to biomedical and biomechanical problems. The student is able to express these problems with instruments of geometrical analysis and differential equations.

Course contents

The course shows mathematical models of brain functionality at different scales, from the dynamics of a single excitable cell to the collective organisation of neural activity and visual perception.

  • 2-Microscopic models: the single neuron and signal propagation

    Evolution of an electrical signal along nerve fibres: the Hodgkin–Huxley model and the FitzHugh–Nagumo system. Models for signal propagation.

  • 1-Models of the primary visual cortex and perceptual phenomena

    Classical perceptual models as minima of functionals: differential calculus in Banach spaces.

    At a larger scale, neuronal populations are represented as Riemannian or sub-Riemannian manifolds. Models of brain functionality expressed in this setting are able to riproduce visual perceptual phenomena.


  • Readings/Bibliography

    Citti Sarti, Neuromathematics of vision, Springer

    Corrado Mascia, Eugenio Montefusco, "Un invito alla biomatematica", Edizioni LaDotta

    Teaching methods

    Frontal lectures on the classical or virtual board

    Assessment methods

    oral exam. Dates can be agreed upon with the instructor.

    Teaching tools

    Office hours and tutoring.

    PDF notes from the virtual board, covering some parts of the program

    textbooks on different part of the program

    Office hours

    See the website of Giovanna Citti

    See the website of Maria Carla Tesi