While memories are often thought of as flashbacks to a previous experience, they do not simply conserve veridical representations of the past but must continually integrate new information to ensure survival in dynamic environments. Therefore, 'drift' in neural firing patterns, typically construed as disruptive 'instability' or an undesirable consequence of noise, may actually be useful for updating memories. In our view, continual modifications in memory representations reconcile classical theories of stable memory traces with neural drift. Here we review how memory representations are updated through dynamic recruitment of neuronal ensembles on the basis of excitability and functional connectivity at the time of learning. Overall, we emphasize the importance of considering memories not as static entities, but instead as flexible network states that reactivate and evolve across time and experience.
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http://dx.doi.org/10.7554/eLife.63550 | DOI Listing |
Hippocampus
January 2025
Department of Cognitive and Psychological Sciences, Brown University, Providence, Rhode Island, USA.
For most of my career, I focused on understanding how and where spatial context, the place where things happen, is represented in the brain. My interest in this began in the early 1990's, during my postdoctoral training with David Amaral, when we defined the rodent homolog of the primate parahippocampal cortex, a region implicated in processing spatial and contextual information. We parceled out the caudal portion of the rat perirhinal cortex (PER) and called it the postrhinal cortex (POR).
View Article and Find Full Text PDFDeep learning models are used to minimize the number of polyps that goes unnoticed by the experts and to accurately segment the detected polyps during interventions. Although state-of-the-art models are proposed, it remains a challenge to define representations that are able to generalize well and that mediate between capturing low-level features and higher-level semantic details without being redundant. Another challenge with these models is that they are computation and memory intensive, which can pose a problem with real-time applications.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Division of Humanities, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
In perceptual studies, musicality and pitch aptitude have been implicated in tone learning, while vocabulary size has been implicated in distributional (segment) learning. Moreover, working memory plays a role in the overnight consolidation of explicit-declarative L2 learning. This study examines how these factors uniquely account for individual differences in the distributional learning and consolidation of an L2 tone contrast, where learners are tonal language speakers, and the training is implicit.
View Article and Find Full Text PDFCereb Cortex
December 2024
Max Planck Institute for Psycholinguistics, Wundtlaan 1, Nijmegen 6525XD, The Netherlands.
The neural representations for compositional processing have so far been mostly studied during sentence comprehension. In an fMRI study of sentence production, we investigated the brain representations for compositional processing during speaking. We used a rapid serial visual presentation sentence recall paradigm to elicit sentence production from the conceptual memory of an event.
View Article and Find Full Text PDFHuman aging affects the ability to remember new experiences, in part, because of altered neural function during memory formation. One potential contributor to age-related memory decline is diminished neural selectivity -- i.e.
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