Workshop: Neuromorphic and Neurorobotics

The workshop aims at providing technical knowledge allowing for the implementation of the models and algorithms discussed in the companion course on Neuromorphic Computing for AI Solutions and Neuro-Robotics.
Hands-on classes will be held using the Matlab and Simulink development environment, which allows to develop signal processing algorithms, shallow and deep neural networks, as well as dynamic mathematical models using Laplace transforms.

The student is expected to learn how to develop data pre-processing algorithms, construct a dataset for training ai models, develop and train deep neural networks, build and simulate mathematical models of sensorimotor systems.

The exam will require students to implement an example of the presented AI models as a Matlab algorithm.