Considerations arising from a complementary learning systems perspective on hippocampus and neocortex

By James L. McClelland, N. H. Goddard. 1996

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Citations in the corpus

Generalization Through the Recurrent Interaction of Episodic Memories (2012, methodology): “…dense (i.e., a relatively large fraction of cells active), structured representations of this nature, which preserve the similarity relations and exploit the redundancies present in input patterns, enhance the efficiency by which episodic experiences can be stored (McClelland & Goddard, 1996).”
The neurobiology of consolidations, or, how stable is the engram? (2004, methodology): “But the more popular version of this type of explanation was applied to system consolidation in the corticohippocampal system, and is supported by modeling (McClelland & Goddard 1996, McClelland et al. 1995; Figure 3).”
Using immediate-early genes to map hippocampal subregional functions. (2007, background): “…such a network architecture—including pattern completion, memory encoding, temporary storage, and retrieval (Marr 1971; McNaughton and Morris 1987; McClelland and Goddard 1996; Rolls and Treves 1998; Nakazawa et al. 2002), rapid single-trial learning (Nakazawa et al. 2003), or automatic…”
Hybrid computing using a neural network with dynamic external memory (2016, background): “This mixture of large-scale structure and microscopic variability is generic to many problems that confront a cognitive agent 32–34 .”
The molecular and systems biology of memory. (2014, unknown): “In parallel with studies of animal models discussed above, analyses of the role of hippocampal subfields in human memory attempt to explore the degree to which certain memories rely on the ability to perform pattern separation on the one hand, and pattern completion on the other (McClelland and Godd”
A Role for Hilar Cells in Pattern Separation in the Dentate Gyrus: A Computational Approach (2009, background): “…performing pattern separation on entorhinal inputs to CA3 (e.g., McNaughton and Morris, 1987; Levy, 1990; O'Reilly and McClelland, 1994; McClelland and Goddard, 1996; Norman and O'Reilly, 2003; Meeter et al., 2004), and the basic ideas originally espoused by Marr, Rolls, and their…”
The Division of Labor Between the Neocortex and Hippocampus (2010, background): “The functional properties of these various connectivity patterns have been analyzed (see O'Reilly & Mc- Clelland, 1994; McClelland & Goddard, 1996; O'Reilly et al., 1998 for details).”
Place cells, grid cells, and the brain's spatial representation system. (2008, background): “F or p er so na l u se o nl y. to the hippocampus (McNaughton & Morris 1987, Treves & Rolls 1992, Hasselmo et al. 1995, McClelland & Goddard 1996, Rolls & Treves 1998).”
Tracking the Flow of Hippocampal Computation: Pattern Separation, Pattern Completion, and Attractor Dynamics (2015, background): “Taken together with our double rotation data, these experiments suggest that CA3 displays the sigmoidal Δinput – Δoutput relationship predicted by theory (McClelland & Goddard, 1996; Rolls & Treves, 1998; Guzowski et al., 2004).”
The restless engram: consolidations never end. (2012, background): “The hippocampus and neocortex are hence considered as complementary learning systems (CLSs; McClelland and Goddard, 1996).”