Kevin Kermani Nejad
I am interested in understanding the computations performed by neocortical microcircuits. Specifically, my research focuses on how superficial and deep neocortical layers jointly learn a model of the world in a self-supervised way. My current project aims to develop a self-supervised model of neocortical microcircuit that explains neural activity in superficial and deep layers in visuomotor tasks. I complement this line of research with work on biologically plausible models of self-supervised multimodal learning and curiosity-based reinforcement learning. I am also interested in AI Alignment and AI4Science.