RISE-MICCAI Journal Club: Bridging the conceptual gap between brains and AI
Tuesday 25th March 2025
Join the next RISE-MICCAI Journal Club Session
Paper: Bridging the conceptual gap between brains and AI:
Presenting Author: Arna Ghosh, McGill University, Canada
Date: Saturday, April 5, 2025
Time: 12:00 pm EDT / 4:00 pm UTC
Abstract: Some of the most remarkable breakthroughs in our quest to understand intelligence are emerging at the intersection of neuroscience and artificial intelligence (AI). This convergence has been fueled by the achievements of deep neural networks in AI and the advancements in large-scale recording techniques in computational neuroscience: Neural networks provide a testbed for exploring theories of learning in the brain, while neuroscience findings inspire the design of more sophisticated AI models. In my talk, I will discuss how observations from computational neuroscience served as inspiration for developing a metric to assess the quality of learned representations in unsupervised representation learning, specifically within the realm of self-supervised learning. This metric was then used to characterize learning trajectory, and relate it to implicit bias imposed by the architectural components and the learning rule of the system. Using these insights, I will lay out practical recommendations for designing sample and compute-efficient self-supervised learning pipelines. Taken together, our work contributes to the ongoing synergy between neuroscience and AI, illustrating how advances in neuroscience can help design the next generation of learning systems.