RT Journal Article
SR Electronic
T1 Latent learning drives sleep-dependent plasticity in distinct CA1 subpopulations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.02.27.967794
DO 10.1101/2020.02.27.967794
A1 Wei Guo
A1 Jie J. Zhang
A1 Jonathan P. Newman
A1 Matthew A. Wilson
YR 2020
UL http://biorxiv.org/content/early/2020/02/27/2020.02.27.967794.abstract
AB Latent learning allows the brain the transform experiences into cognitive maps, a form of implicit memory, without reinforced training. Its mechanism is unclear. We tracked the internal states of the hippocampal neural ensembles and discovered that during latent learning of a spatial map, the state space evolved into a low-dimensional manifold that topologically resembled the physical environment. This process requires repeated experiences and sleep in-between. Further investigations revealed that a subset of hippocampal neurons, instead of rapidly forming place fields in a novel environment, remained weakly tuned but gradually developed correlated activity with other neurons. These ‘weakly spatial’ neurons bond activity of neurons with stronger spatial tuning, linking discrete place fields into a map that supports flexible navigation.