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AIMD Neurotech Bootcamp​​​​​​​​​​

June 3, 2026

Hosted by the NeuroTechHub

About the event

Join us on the evening before the AIMD Workshop for an interactive Neural Prosthetics Bootcamp hosted by the NTH, designed especially for students and early-career researchers interested in the practical side of AIMD systems.

This session introduces the end-to-end pipeline of neural prosthetic systems—from neural data acquisition and signal processing to decoding, modeling, and closed-loop control. We will discuss commonly used tools and frameworks in the field, such as Python-based analysis workflows, machine learning libraries, simulation environments, and data visualization tools that are widely adopted in both academia and industry.

After a short guided introduction, participants will move into hands-on programming exercises, working in small groups to explore real-world problems inspired by neural prosthetics research. The focus is on learning by doing, sharing knowledge, and building connections with peers in a collaborative and informal setting.

Whether you are new to the field or looking to strengthen your practical skill set, this bootcamp offers a welcoming environment to learn, experiment, and connect—while preparing you for the main AIMD Workshop.

No prior expertise required beyond basic programming experience.

You can either add the bootcamp to your AIMD Workshop ticket for an extra €10 during workshop registration, or register for the bootcamp on its own if you’re only joining for the evening.


Program

The bootcamp takes you through the full end-to-end pipeline of neural prosthetic systems — from neural data acquisition and signal processing to decoding, modeling, and closed-loop control. Along the way, we cover commonly used tools and frameworks in the field, including Python-based analysis workflows, machine learning libraries, simulation environments, and data visualization tools used across academia and industry.

We kick off with an introductory lecture on (visual) neural prosthetics, giving everyone a shared foundation before moving into the hands-on part. The programming exercises are structured incrementally — starting from simplified, no-code toolboxes that build intuition, and progressing to hands-on Python exercises for those who want to go deeper. You work in small groups throughout, so there is plenty of room to learn from each other.

In the final part of the evening, you choose one of three tracks based on your interests and experience:

  • Developer - Go deeper into the tools and find ways to improve or extend them.

  • Experimental - Design and work through possible experiments using the pipeline.

  • Creative - Open playbox, build any tool useful in the neurotech space. No prior programming needed; AI-assisted coding is encouraged.

Each group will have the chance to give a short demonstration at the end of the evening. We have prizes for the most creative and impressive work in each track, and results will be published on the NTH GitHub.

During the interactive part of the program there will be pizza for everyone, sponsored by Phosphoenix. We close the evening with drinks to exchange experiences, ideas, and enthusiasm.


Preperation

Bring your laptop!

You will need your own laptop for the interactive part of the evening. Power outlets will be available throughout the venue.

To get the most out of the bootcamp, we recommend setting up the following before you arrive:

  • 1. A modern browser is sufficient to run the simplified toolboxes — no installation required for the first part.

  • 2. For the coding exercises, the minimum setup is Google Colab. Anyone with a Google account can access it — no installation needed.

  • 3. To go further, install your preferred IDE with Python and Jupyter Notebooks. If you don't have one, we recommend VS Code.

  • 4. A free account for an AI coding assistant (e.g. Claude, ChatGPT, or Gemini) will be useful, especially for the Creative track. Many offer free tiers or student discounts.

  • 5. If you have access to a paid AI model, install the corresponding IDE extension for the best experience.

  • 6. A GitHub account is needed to publish your results to the NTH repository. You can create one for free at github.com.


About the NTH

The NTH is an open, community-driven initiative dedicated to advancing neurotechnology through collaboration, open-source development, and shared learning. By fostering an inclusive ecosystem for hardware, software, firmware, and communication standards, the NTH brings together researchers, engineers, clinicians, students, and industry innovators to build solutions that accelerate progress in neurotech and make powerful tools more accessible. The NTH events, talks, and collaborative activities are designed to support knowledge exchange, networking, and collective exploration of the future of neurotechnology.

See how you can become part of this community on our website!

Location

Pulse TU Delft Campus

Landbergstraat 19

2628 CE Delft

The Netherlands