Episode 3: AI as the ‘glue’ that connects fragmented neuroscience

Episode 3: AI as the ‘glue’ that connects fragmented neuroscience Building on previous Open Access Government articles (Episode 1 and Episode 2), Professor Masanori Shimono emphasizes the need for standardized approaches to improve efficiency in neuroscience research and proposes an infrastructure for better data sharing. No single experiment can justify the claim that we ‘understand’ the brain. Even with modern tools, we rarely record all relevant variables at once, and differences in electrode placement, arousal, pharmacology, and task context make cross-lab replication difficult. Each dataset captures only a small slice of the brain’s possible state space, so results become hard to compare or integrate.