Delves into spatial memory usage in RL agents for maze navigation tasks, showing improved performance with visual landmarks but inconsistent results in path choosing.
Explores Parkinson's disease, covering its history, challenges in diagnosis, available treatments, neuropathological changes, and impact on motor control.
Explores memory aid for the human brain, focusing on opportunities to study human memory, single cell recordings, and the representation of space, time, and objects.
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.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.