Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations.

By Anders Lansner. 2009

192 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Neural Associative Memory with Optimal Bayesian Learning (2011, methodology): “Neural associative memories are promising models for computations in the brain (Hebb, 1949; Anderson, 1968; Willshaw et al., 1969; Marr, 1969, 1971; Little, 1974; Gardner-Medwin, 1976; Braitenberg, 1978; Hopfield, 1982; Amari, 1989; Palm, 1990; Lansner, 2009), as well as they are potentially useful ”
Biologically Plausible, Human-scale Knowledge Representation (2016, background): “There are several ways in which associative memories can be implemented (see (Lansner, 2009) for a review).”
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies (2019, background): “Such recurrent circuits and feedback paths are common in artiﬁcial recurrent networks implementing sequential/stateful computations, such as associative memory networks Lansner (2009).”
Optimal synaptic learning in non-linear associative memory (2010, background): “…learning models of the Hopfield type [30], [58], [32], [33], [53], [34], [35], [36], [37], simple non-linear learning models of the Willshaw type [24], [23], [25], [59], [26], [28], [18], [29], and BCPNN-type models employing suboptimal Bayesian heuristics [38], [39], [40], [41], [42], [43], [6].”
Nonparametric Bayesian Deep Networks with Local Competition (2018, background): “Indeed, there is an increasing body of evidence supporting that neurons in biological systems that have similar functional properties are aggregated together in modules or columns where local competition takes place (Kandel et al., 1991; Andersen et al., 1969; Eccles et al., 1967; Stefanis, 1969; Do”
Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012, background): “, 1999), which suggests a constructive rather than destructive role of spike synchronization for memory (Jutras and Buffalo, 2010; Fell and Axmacher, 2011) and the formation of Hebbian cell assemblies (Hebb, 1949; Braitenberg, 1978; Palm, 1982; Knoblauch and Palm, 2002a; Lansner, 2009; Buzsaki, 2010”
Neural syntax: cell assemblies, synapsembles and readers (2010, unknown): “…identification of the hypothesized cell assemblies has proven notoriously difficult (Gerstein et al., 1989; Grossberg, 1969; Ikegaya et al., 2004; Lansner, 2009; Neuron 68, November 4, 2010 ª2010 Elsevier Inc. Milner, 1957, 1996; Palm, 1982, 1987; Pouget et al., 2000; Pulvermüller, 2003;…”