Explores the intricate relationship between neuroscience and machine learning, highlighting the challenges of analyzing neural data and the role of machine learning tools.
Covers advancements in neurotechnology for enhancing sensory feedback in prosthetic devices, focusing on texture perception and cognitive load effects on performance.
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.