Nf1 is required during early, but not late, cerebellar development to facilitate neuronal lamination, providing a potential therapeutic prevention strategy for NF1-associated developmental abnormalities.
The human brain is capable of implementing inverse reinforcement learning, where an observer infers the hidden reward structure of a decision problem solely through observing another individual take actions.
A multidimensional chemical mapping strategy enables confident determination of the structures of non-coding RNAs at 1-nm resolution, including previously intractable riboswitch and human regulon states.
In vivo recordings in unanesthetized zebrafish larvae show that Purkinje neurons have two stable membrane potential states and that climbing fiber inputs can toggle them to up states during motor episodes.
Computational modeling and analysis of mouse neural population data finds that the excitation/inhibition imbalance theory of brain disorders is too limited to account for key changes in neural activity statistics.