Computational Neuroscience

Developing neuromodulation-aware artificial intelligence

Neuromodulators, such as dopamine, serotonin, noradrenaline, and acetylcholine, shape computations in the biological nervous system and facilitate flexible, adaptive learning. In our lab, we are interested in (1) the role of individual neuromodulators in initiating and implementing diverse biological and cognitive functions, (2) how competition and cooperation among neuromodulators enrich single neuromodulator computations, and (3) how multi-neuromodulator dynamics can be translated into learning rules for more flexible, robust, and adaptive learning in artificial neural networks (ANNs). 

During their stay, the two PhD students will work collaboratively on relevant but independent topics. They will explore neural data, synthesize the literature, translate experimental findings on the properties and actions of single and multiple neuromodulators into computational methods, and incorporate such methods into ANNs to assess whether the performance of ANNs in challenging tasks such as continual learning can be improved.

Requirements

We are looking for two motivated PhD students with a strong interest in the intersection of neuroscience, computational modeling, and AI. Ideal candidates will have completed or be in the final stages of a master’s degree in computer science, mathematics, physics, computational neuroscience, or other relevant fields. 

Programming skills, a solid understanding of computational modeling, and the ability to work and think independently are required. Experience with deep learning frameworks such as TensorFlow and PyTorch is preferred. Working knowledge of spiking neural networks and compartmental models is a plus. 

Opportunities offered

• Collaborations: The lab enjoys close collaborations with top research labs around the world, providing access to diverse neuroscience datasets (e.g. electrophysiological recordings, imaging studies, behavioral tests) from animals and humans in both health and disease. The lab also collaborates with researchers within IT:U and supports co-supervision with other IT:U founding professors.
• International mobility and exchanges: Selected candidates will benefit from interactions with the PI’s collaborators and colleagues in Europe, North America and Asia (e.g., Charité – Universitätsmedizin Berlin, Newcastle University, University of Western Ontario, Vector Institute, University of Quebec, and RIKEN) who are happy to host PhD students for short stays.
• Professional and personal development: With the PI’s experience navigating academia in 7 countries, PhD students will receive comprehensive guidance throughout their academic journey at IT:U and beyond.