Student Project: neural signal decoding for a distributed brain-computer interface device

What you will do

In this project, we will explore and develop a neural signal decoding pipeline for an event-based BMI device. This application is intended for use in brain implants with limited power and computing resources.


The data size from in vivo neural recording has exponentially increased in the past decades. To reveal the full potential of the data, researchers usually rely on powerful hardware to transfer and process neural data. However, the size and power consumption of data processing hardware hinder the real-world usage of implantable BCI. The heat dissipation from data-transferring devices raises concerns about tissue health near the BCI implant.


To compress the data, we developed a dedicated chip that converts the raw data into events that only respond to local changes in voltage (delta-modulation). In this project, we want to explore all possibilities of using event-based data to further compress and decode behavioral data from model animals online while consuming minimal energy. This project will potentially expand to analysis from a distributed recording system and involve hardware optimization.

What we do for you

As a world-class research institute, we are the center of excellence in nano-electronics design for the Internet of Things and Healthcare applications. In this internship, you will work on a cutting-edge research project under the supervision of world-renowned researchers from diverse backgrounds

Who you are

• Background in computer science, electronic hardware (or applicable knowledge) with experience applying neural networks to large time series data.
• Strong interest in biomedical applications, especially in neural interfacing
• Good written and verbal English skills
  
  

Interested

Does this position sound like an interesting next step in your career at imec? Don’t hesitate to submit your application by clicking on ‘APPLY NOW’..
Got some questions about the recruitment process? Martijn Kohl of the Talent Acquisition Team will be happy to assist you.