Yoav Rechavi

TL;DR: It is shown that N6-methyladenosine (m6A), a messenger RNA (mRNA) modification present on transcripts of pluripotency factors, drives this transition from the pluripotent to the differentiated state.

TL;DR: The authors use an unsupervised learning approach to recover neuronal tuning with respect to the recorded network activity and show that this can reveal the relevant behavioural variables.

TL;DR: It is shown that mouse hippocampal neurons can globally remap, forming multiple distinct representations of the same familiar environment, without any apparent changes in sensory input or behavior, suggesting that a memory of a given spatial context could be associated with multiple distinct neuronal representations, rather than just one.

TL;DR: The internal structure of neuronal activity itself enables reconstructing internal representations and discovering new behavioral variables hidden within a neural code, as well as conserved across mice.

TL;DR: The authors found that running accelerates the emergence of a more informative spatial code in novel environments and increases code stability over days and weeks, while runners demonstrated an overall more stable place code than their sedentary peers, their place code changed faster when controlling for code quality level.