Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach.

By Kenneth A. Norman, Randall C. O’Reilly. 2003

1,364 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Generalization Through the Recurrent Interaction of Episodic Memories (2012, methodology): “In addition to simplifications alluded to above (e.g. coding of sequential journeys in pairwise fashion in the model), we also wish to point out that our model was only designed to simulate shortcut paths that reflect combinations of previously taken journeys - as observed by Gupta et al (2010). In ”
Model-Free Episodic Control (2016, background): “Hippocampal learning is thought to be instance-based [18, 35], in contrast to the cortical system which represents generalised statistical summaries of the input distribution [20, 27, 41].”
Item, context and relational episodic encoding in humans. (2006, background): “A fundamental question in the science of memory is whether these different forms of memory — for the individual items in an episode versus for the relationship among those items — are expressions of distinct underlying mnemonic mechanisms [1–6] or, rather, reflect differing levels or strengths of a ”
The cognitive neuroscience of constructive memory: remembering the past and imagining the future (2007, background): “Retrieval of a past experience involves a process of pattern completion (Marr 1971; McClelland et al. 1995; Norman & O’Reilly 2003), in which the rememberer pieces together some subset of distributed features that comprise a particular past experience, including perceptual and…”
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation (2017, neutral): “There are also sophisticated neural models of memory systems and learning in general, e.g. (Bogacz & Brown, 2003; Norman & O’Reilly, 2003; Davelaar & Usher, 2004).”
Associative Retrieval Processes in Episodic Memory (2008, methodology): “In particular, the connectionist model of episodic memory introduced by McClelland, McNaughton, and O’Reilly (1995) (and further developed by Norman and O’Reilly (2003)) posits that the hippocampus serves as the locus of a higher-level representation that represents the conjunction of all of the fea”
Pattern Separation in the Dentate Gyrus: A Role for the CA3 Backprojection (2010, methodology): “…(see, e.g., McNaughton and Morris, 1987; Treves and Rolls, 1992, 1994; Hasselmo et al., 1995; Hasselmo and Wyble, 1997; O’Reilly and Rudy, 2001; Norman and O’Reilly, 2003; Becker, 2005; Rolls, 1989a, b, 2007; etc.), and is illustrated in Figure 1C. Full implementation details are described in…”
Explicit encoding of multimodal percepts by single neurons in the human brain. (2009, neutral): “It has been argued that the sparse representation of MTL neurons is particularly suited to allow very fast learning without catastrophic interference [ 36 ].”
The parallel distributed processing approach to semantic cognition (2003, background): “In the complementary learning systems theory 63,75 , the gradual learning characteristics of PDP networks are thought to capture essential properties of the semantic learning system in the neocortex.”
Strong Evidence for Pattern Separation in Human Dentate Gyrus (2016, methodology): “…technique that is particularly appropriate given that this computation is defined at the level of the underlying representations (Treves and Rolls, 1994; McClelland et al., 1995; Norman and O’Reilly, 2003; Haynes and Rees, 2006; Davis and Poldrack, 2013; Haynes, 2015; Knierim and Neunuebel, 2016).”
Brain Networks Underlying Episodic Memory Retrieval (2012, neutral): “, [49,50]), a key role of the hippocampus is to store non-overlapping representations of the distributed patterns of cortical activity elicited when different events are encoded.”
Tracking the Emergence of Conceptual Knowledge during Human Decision Making (2009, neutral): “As such, whether the hippocampus, or instead neocortical areas within the medial temporal lobe (MTL) or prefrontal cortex (PFC) (Cohen and Eichenbaum, 1993; Eichenbaum, 2004; McClelland et al., 1995; Miller et al., 2002; Norman and O’Reilly, 2003; Vargha-Khadem et al., 1997), are critical to concept”
Switching between internal and external modes: A multiscale learning principle (2017, background): “…rates likely vary as one descends the hierarchy from the hippocampus (high learning rate) to medial and inferior temporal regions (medium learning rate) to early visual cortex (slow learning rate; Ahissar & Hochstein, 2004; Norman & O’Reilly, 2003; Yang & Maunsell, 2004; see also Lee & Saxe, 2014).”