research
What makes the brain such an amazing learner? This question drives my passion for NeuroAI—the field where neuroscience and artificial intelligence meet. I am interested in almost all aspects and possibilities of NeuroAI. Some of the areas that I have explored and am especially interested in are:
How the brain learns locally - Hebbian, Neo-Hebbian; Sparsity
I am particularly intrigued by the brain’s local learning rules, such as Hebbian and Neo-Hebbian learning, and the concept of sparsity. For my Bachelor’s project, I explored the Emergence of Auditory Receptive Fields Based on Surprise Across Multiple Timescales, where I demonstrated how receptive fields, similar to those in the auditory cortex, can develop by maximizing surprise while minimizing overall neural activity.
Memory - role of Neocortex and Hippocampus
Another area that deeply interests me is how the brain manages memory, particularly the role of the neocortex and hippocampus in creating, storing, and recalling memories. Currently, I am exploring this topic during my research internship at NeurAI Lab, TU Eindhoven, where we are investigating the effects of associative memory-based replay, drawing inspiration from the neocortex and hippocampus, in continual learning settings.
Brain fingerprinting
I am fascinated by how fMRI data can be used for various analyses, such as disease detection and cognitive behavior prediction. For my Master’s thesis, I am investigating how functional connectomes, constructed from fMRI data, can be utilized for individual identification, similar to “brain fingerprinting.”