Episodic Memory and Beyond: The Hippocampus and Neocortex in Transformation

By Morris Moscovitch, Roberto Cabeza, Gordon Winocur, Lynn Nadel. Annual Review of Psychology, 2016

928 citations recorded by the source corpus.

The last decade has seen dramatic technological and conceptual changes in research on episodic memory and the brain. New technologies, and increased use of more naturalistic observations, have enabled investigators to delve deeply into the structures that mediate episodic memory, particularly the hippocampus, and to track functional and structural interactions among brain regions that support it. Conceptually, episodic memory is increasingly being viewed as subject to lifelong transformations that are reflected in the neural substrates that mediate it. In keeping with this dynamic perspective, research on episodic memory (and the hippocampus) has infiltrated domains, from perception to language and from empathy to problem solving, that were once considered outside its boundaries. Using the component process model as a framework, and focusing on the hippocampus, its subfields, and specialization along its longitudinal axis, along with its interaction with other brain regions, we consider these new developments and their implications for the organization of episodic memory and its contribution to functions in other domains.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/09d3b990fedf1a2fd6c90c67e75386bcbbd163c5

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Citations in the corpus

The Persistence and Transience of Memory. (2017, background): “That is, simple memories that store the gist of our experiences and avoid complicated details will be better for generalizing to future events (Kumaran et al., 2016; McClelland et al., 1995; Moscovitch et al., 2016; Richards et al., 2014).”
Cognitively-Inspired Model for Incremental Learning Using a Few Examples (2020, methodology): “In the hippocampal concept learning model [29, 40, 33], after the feature extraction step, the hippocampus calculates a term called the memory-based prediction error.”
Centroid Based Concept Learning for RGB-D Indoor Scene Classification (2019, background): “CBCL is cognitively inspired from concept learning models of the hippocampus and the neo-cortex [14, 16, 18].”
A Metaverse: Taxonomy, Components, Applications, and Open Challenges (2022, background): “Episodicmemory tracks functional and structural interactions between brain regions, particularly the hippocampus [202].”
Memory engrams: Recalling the past and imagining the future (2020, background): “According to memory transformation theory, changes in the nature and quality ofmemories correspond to changes in neural representations, with hippocampal-dependent contextspecific detailed memories transforming into gist-like schematic memories represented in cortical structures over time (201, 203,”
Distinct hippocampal-cortical memory representations for experiences associated with movement versus immobility (2017, neutral): “We recorded activity in the CA1 region of the hippocampus and in PFC, both of which play critical roles in memory processes (Euston et al., 2012; Moscovitch et al., 2016; Spellman et al., 2015; Tse et al., 2011; Winocur and Moscovitch, 1990).”
Multimodal Feature Integration in the Angular Gyrus during Episodic and Semantic Retrieval (2016, background): “…thus indicate that AnG exhibits characteristics of an integration area— or “convergence zone” (Damasio, 1989; Shimamura, 2011)—for multimodal memories, which could be the function that underlies its role in the subjective experience of remembering (Simons et al., 2010; Moscovitch et al., 2016).”
The hippocampus and related neocortical structures in memory transformation. (2018, background): “By this view, it is not the age of the memory that matters, but its nature or quality [17] and, in accord with the principle of functional-neural isomorphism, changes at the psychological level are accompanied by corresponding changes at the neural level, and vice-versa [22,23].”
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI (2019, neutral): “Traditionally, since the discovery of densely amnesic patients, the MTL structures have been regarded as essential for long-term memory formation, allowing us to remember past experiences and to retrieve acquired knowledge (Moscovitch et al., 2016; Steinvorth et al., 2005).”