Schema della sezione

  • Course introduction

    Dear students, welcome to COMPUTATIONAL NEUROSCIENCE, academic year 2026/27!

    The course is dedicated to the study of the foundations and the applications of computational neuroscience, from biological neurons and computational models of neural dynamics and perception to the acquisition and analysis of brain signals. Particular attention will be given to electroencephalography (EEG), brain–computer interfaces (BCI), and related machine learning methods and applications.

    The course will be divided into two main modules:
    1. Computational models of neurons, neural networks, and perception
    2. Brain signals, EEG, and brain–computer interfaces

    The teaching methods used throughout the course will include lectures, discussions of case studies and methodological issues, practical Python sessions, guest lectures, and BCI demonstrations.
    The practical sessions require knowledge of Python and its scientific ecosystem. Please bring your laptop.

    Course coordinator: Prof. Alberto D’Onofrio

    Course instructors: Prof. Alberto D’Onofrio and Prof. Giulia Cisotto

    Tutor for laboratory sessions: Dr. Shayan Sharifi

    Contact details: ALBERTO.DONOFRIO@units.it, GIULIA.CISOTTO@units.it, shayan.sharifi@phd.units.it

    Classes will begin: September, 28th 2026
    Classes will end: December, 21st 2026 (expected)

    Class schedule and rooms:

    Part 1:

    Mondays 2 - 4 pm

    Fridays 2 - 4 pm

    Part 2:

    Mondays 2 - 4 pm

    Tuesdays 2 - 4 pm

    Changes to the class calendar and notification arrangements:
    !! The class schedule may be subject to change, depending on the instructors’ other institutional or research commitments. Any changes will be announced in advance.

    LABORATORY sessions:

    Part 1:

    TBD

    Part 2:

    TBD

    Seminars: Guest lectures by Prof. Selina Wriessnegger will be held on Monday Nov. 30th and Tuesday Dec. 1st (tentative).

    Lecture recordings and slides:
    After each class, we will upload the slides here, along with useful references for further reading and the class recording (live online attendance is not allowed).

    For Part 1: please check also the Teams channel.

    Exams:
    The exam will consist of two final projects, one for each module, and an oral examination. Each project will typically explore a topic chosen freely by the student or selected from a list suggested by the instructors. The projects will be presented using slides at the beginning of the exam, with 15 minutes allocated to each project.

    The oral examination will include questions assessing students’ knowledge of the course topics.

    Exam dates, times, and rooms:
    TBD.

    • Announcements from the instructors Forum

      Announcements from the instructors regarding course logistics.

    • STUDENTS' FORUM

      Here you can discuss questions and concerns about the course topics. The forum is not moderated, but the instructors may occasionally contribute.

  • Textbooks and references

    • Brunel, N., & Hakim, V. (2022). “Neuronal Dynamics.” In B. Chakraborty (Ed.), Statistical and Nonlinear Physics — A Volume in the Encyclopedia of Complexity and Systems Science (2nd ed., pp. 495–516). Springer.
    • Pisarchik, A. N., & Hramov, A. E. (2022). Multistability in Physical and Living Systems. Springer.
    • Coombes, S., Beim Graben, P., Potthast, R., & Wright, J. (Eds.). (2014). Neural Fields: Theory and Applications. Springer.
    • Sanei, S., & Chambers, J. A. (2007). EEG Signal Processing. Wiley.

    Additional materials provided by the instructors.

    Attività: 0

  • Part 1 (Prof. Alberto d'Onofrio)

    Attività: 1

  • Part 2 (Prof. Giulia Cisotto)

    Attività: 1

  • Tutoring (by Dr. Shayan Sharifi)

    Attività: 2