Explores classical vision theories, including Gestaltism, ecological approach, and constructivism, covering concepts like bottom-up vs. top-down processing.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.
