Distinct hippocampal-cortical memory representations for experiences associated with movement versus immobility
By Jai Y. Yu, Kenneth Kay, Daniel F. Liu, Irene Grossrubatscher, Adrianna Loback, Marielena Sosa, Jason E. Chung, Mattias P. Karlsson, Margaret C. Larkin, Loren M. Frank. 2017
37 citations recorded by the source corpus.
While ongoing experience proceeds continuously, memories of past experience are often recalled as episodes with defined beginnings and ends. The neural mechanisms that lead to the formation of discrete episodes from the stream of neural activity patterns representing ongoing experience are unknown. To investigate these mechanisms, we recorded neural activity in the rat hippocampus and prefrontal cortex, structures critical for memory processes. We show that during spatial navigation, hippocampal CA1 place cells maintain a continuous spatial representation across different states of motion (movement and immobility). In contrast, during sharp-wave ripples (SWRs), when representations of experience are transiently reactivated from memory, movement- and immobility-associated activity patterns are most often reactivated separately. Concurrently, distinct hippocampal reactivations of movement- or immobility-associated representations are accompanied by distinct modulation patterns in prefrontal cortex. These findings demonstrate a continuous representation of ongoing experience can be separated into independently reactivated memory representations.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
Citations in the corpus
- Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “More recently, replay during sleep in the hippocampus and pre-frontal cortex corresponded to separate activation of movement-related and movement-independent representations (Yu et al., 2017).”
- High-density, long-lasting, and multi-region electrophysiological recordings using polymer electrode arrays (2018, unknown): “10 speeds, as these are known to correspond to different neural states (Kay et al., 2016; Yu et al., 2017).”