Machine Learning & Deep Learning for Neuroscience
Live Sunday-evening sessions · foundations → architectures → theory → applications
- Oct 18 – Jan 3
- 12 weeks · 12 live sessions
- Sunday · 7:00 PM
Structured courses in neuroscience, EEG, AI and computational modelling — watch at your pace, or learn live in small evening cohorts.
Live Sunday-evening sessions · foundations → architectures → theory → applications
From Data to Discovery
Introduction to EEG and Artificial Intelligence is a beginner-friendly microcourse that introduces the fundamentals of EEG, brain signal processing, and AI-driven analysis techniques.
Understand the language of dynamical systems. Analyze nonlinear dynamics and emergent behaviors and build neural models from single Neurons to populations.
Introduction to EEG and Artificial Intelligence
Explore the fascinating world of human movement—from motion capture and biomechanics to feature extraction and Artificial Intelligence—and discover how movement becomes meaningful data.
This micro-course introduces the fundamental concepts of Python programming with a focus on scientific computing and neuroscience-oriented applications.
The course then introduces the grammar of data, focusing on how biological observations can be represented using mathematical structures such as vectors, matrices, and functions.
Neural signal processing is the discipline of capturing the brain's electrical activity, removing what does not belong in it, and extracting information that can be interpreted or acted on.
A 60-minute microcourse covering how neurotechnology records, decodes, and modulates activity in the nervous system — from EEG and brain imaging to brain-computer interfaces and neuromodulation.