About the project
We are looking for a talented and motivated PhD student to work on high-bandwidth implantable brain processing techniques (i.e. >1000 recording channels using Utah Arrays) for future generation implantable brain machine interfaces (iBMIs).
The key challenge with high-bandwidth intracortical processing is associated with the overall computation cost, which demands a paradigm shift from conventional brain data processing approaches.
he project has the following three objectives:
- design low-cost and highly reliable deep learning architectures suitable for real time and on-chip spike sorting
- develop an on-chip processor integrable into the sensing module for real time behavioural decoding of different regions of the brain
- validate the algorithms (simulation and fabricated) using the recorded and resynthesized in-vivo test data
The candidate will have access to state-of-the-art laboratory facilities and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London.
