Modeling the spontaneous reactivation of experience‐specific hippocampal cell assembles during sleep

By Bin Shen, Bruce L. McNaughton. 1996

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Citations in the corpus

Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “Reactivation has also been observed in computational models of attractor networks (Shen & McNaughton, 1996), where random activations initiate attractor dynamics that result in the replay of activity that formed the attractor.”
Reactivation of Hippocampal Cell Assemblies: Effects of Behavioral State, Experience, and EEG Dynamics (1999, background): “This transfer may be facilitated during 200 Hz network oscillations (ripples) in CA1, initiated by synchronized bursts of co-operative CA3 cellular discharge (McNaughton, 1983; Buzsáki, 1986; Wilson and McNaughton, 1994; Ylinen et al., 1995; Shen and McNaughton, 1996).”
Reactivation of neuronal ensembles in hippocampal dentate gyrus during sleep after spatial experience (1998, background): “Because there are few direct connections between pyramidal cells in CA1, most theories have hypothesized that the CA3 region, where recurrent connections between pyramidal cells are abundant, is the likely site of the origin (Shen and McNaughton 1996; Skaggs and McNaughton 1996; Wilson and McNaughto”
Memory reprocessing in corticocortical and hippocampocortical neuronal ensembles. (1997, background): “…dynamics of the CA3 region of the hippocampus implies that reactivation of recent patterns in the hippocampus could arise either spontaneously (Shen & McNaughton 1997) or as a consequence of the reactivation of a subcomponent of the experience in the neocortex (Marr 1971) and subsequent…”
Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model (2005, unknown): “…sharp waves are indicative of activity cascades derived originally from recurrent connections in CA3 (Csicsvari, Hirase, Mamiya, & Buzsáki, 2000; Shen & McNaughton, 1996; Ylinen et al., 1995 ) and that the replay component follows asymmetries that arise through learning (Nádasdy et al., 1999;…”
Reactivation of experience-dependent cell assembly patterns in the hippocampus (2008, background): “Accordingly, reactivation would merely reflect the already established associations between cells needed for place cell activit”
Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion. (2019, background): “Competing lines of evidence suggest that sequence firing in replay is generated from either experiencedependent mechanisms or, alternatively, reflects hardwired predetermined assemblies (Dragoi and Tonegawa, 2011; Grosmark and Buzsáki, 2016; Shen and McNaughton, 1996; Silva et al., 2015).”
Hippocampal sharp wave bursts coincide with neocortical "up-state" transitions. (2004, background): “Hippocampal memory trace reactivation is strongest during SPWs (Kudrimoti et al. 1999), indicating that trace reactivation might, indeed, reflect the information stored in the CA3 synaptic matrix (McNaughton 1983; Buzsaki 1989; Shen and McNaughton 1996).”
Hippocampal Sharp Waves and Reactivation during Awake States Depend on Repeated Sequential Experience (2006, background): “Theories of hippocampal function (Buzsáki, 1989; Shen and McNaughton, 1996; Redish and Touretzky, 1998; Redish, 1999) predict that asymmetric plasticity (Levy and Steward, 1983; Bi and Poo, 2001) applied to recurrent connections within CA3 through experience of repeated spatial sequences during…”