Università Roma Tre

Part I: electrical models of the neurons

Introduction to neural engineering

Passive models of excitable cells

Active models: Hodgkin-Huxley


Part II: neural signal processing

Mathematical models of spiking neural activity

Algorithms for spike detection

Algorithms for spike sorting

Practical implementations using Python


Part III: motor control

Introduction to motor control theories

Modular motor control

Muscle synergy analysis

Practical implementation using Python

Horch, K. W., & Dhillon, G. S. (Eds.). (2004). Neuroprosthetics: theory and practice (Vol. 2). World Scientific.

He, B. (Ed.). (2007). Neural engineering. Springer Science & Business Media.

Aurelien Geron (2019). Hands on Machine Learning. O’Reilly