#NeuroUX / Intro to Neural Interface

Bridging Brains and Machines: An Introduction to Neural Interface Technology (virtual lecture series)

Ever wondered how we could directly link the human brain to a computer? Or restore lost sensory or motor function using technology? This lecture will serve as your gateway into the revolutionary field of Neural Interfaces – technologies that create a direct communication pathway between the nervous system and an external device.

We will embark on an introductory journey to understand how these interfaces work, exploring the fundamental principles behind "listening" to neural signals (recording) and "talking" back to neural tissue (stimulation). We'll demystify the core components, from microscopic electrodes to sophisticated signal processing algorithms, and discuss the different types of interfaces, ranging from non-invasive scalp EEG systems to cutting-edge implantable microelectrode arrays.

Discover the transformative potential of neural interfaces through real-world applications, including:

Brain-Computer Interfaces (BCIs)

Sensory Prosthetics

Therapeutic Neuromodulation

Neurorehabilitation

We will also touch upon the current challenges and ethical considerations inherent in this rapidly advancing field, and look ahead to the exciting future possibilities that neural interface technology holds for medicine, research, and potentially, human augmentation.

Your Takeaways:

Define what a neural interface is and identify its key components.

Understand the basic principles of neural signal recording and electrical stimulation.

Differentiate between various types of neural interfaces (e.g., invasive vs. non-invasive, open-loop vs. closed-loop).

Recognize diverse applications of neural interface technology in medicine and research.

Appreciate the primary challenges and ethical considerations in the field.

Who should attend:

This introductory -virtual- lecture is designed for undergraduate and early graduate students in biomedical engineering, neuroscience, electrical engineering, computer science, medicine, and anyone with a keen interest in the intersection of biology and technology. No prior advanced knowledge of neural interfaces is required, just a curiosity to learn!