Osaka: Recent innovative studies have begun to present direct evidence that
individual memories reside in the activities of specific spatially
distributed neuronal populations within neuronal networks. The next
critical question arising from this idea is how specific subsets of
neurons are chosen from a large population of neurons to encode a given
memory.
We have generated genetically-engineered mice to suppress specific
subset of neurons activated during learning. We found that the
suppression of neuronal ensembles that are naturally activated during
learning results in a failure of the memory retrieval. We further found
that the suppression selectively inhibits relearning without disrupting
the ability to acquire and retrieve a memory for distinct context. These
results indicate that there is a mechanism ensuring that the same
neuronal ensemble is engaged for the same learning to strengthen the
memory, and it is not substitutable after the ensemble is allocated for
the initial learning.
Our results provide substantial insights into the machinery
underlying how the brain allocates individual memories to discrete
neuronal ensembles and how it ensures that repetitive learning
strengthens memory by reactivating the same neuronal ensembles. Our
findings could be of some help in understanding the mechanism underlying
memory impairments associated with aging and psychiatric disorders.