Piattaforma Kiro - Didattica Curriculare 3+2 e Lauree Magistrali Ciclo Unico

The class begins with electrostatics, focusing on electric charge, fields, potential, and their applications. It then moves to magnetostatics, covering magnetic fields, forces, the Biot-Savart and Ampere's laws, and magnetic materials. Finally, electrodynamics is explored, including electromotive force, induced electric fields, Faraday's law, Maxwell's equations, electromagnetic waves, and their properties, along with the study of electric current, DC circuits, and the behavior of electromagnetic waves.

The course aims to provide technical skills to develop and deploy Artificial intelligence-based medical devices in different areas, such as bioinformatics or biomedical images and signal analysis. The regulatory requirements needed to put these systems on the market will be investigated, focusing on the necessary certification, such as the ISO 13485 for in vitro diagnostic devices. After the theoretical part, students will simulate the development of a software and they will define the steps needed to obtain the certification of their software as a medical device.

Cellular and circuit signals

• Introduction (anatomy and physiology of neurons, neural circuits, neural firing, synaptic transmission and plasticity, and neural coding)
• Recording techniques for cells and circuits (electrophysiology, single-unit recordings, multi-electrode arrays, and patch-clamp recording, imaging techniques)
• Data analysis methods, and applications to AI. Some examples will deal especially with the cerebellum circuit.

Ensemble brain signals

• Introduction
• Recording techniques
• Analysis methods
• Example analyses of human fMRI recordings.

Brain-inspired systems

• Bringing together artificial intelligence and neuroscience
• Intro to Neuro-AI and related methods
• Machine learning applied to neural data (hands-on)
• Examples of brain-inspired technologies.