Die Lernmatrix

By K. Steinbuch. 2004

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Citations in the corpus

Efficient Associative Computation with Discrete Synapses (2016, methodology): “Associative neurocomputers are one such alternative paradigm in which, unlike the classical von Neumann machine, computation and data storage are not separated (Steinbuch, 1961; Willshaw, Buneman, & LonguetHiggins, 1969; Palm, 1982; Palm & Palm, 1991; Hammerstrom, 1990; Heittmann & Rückert, 2002; Ch”
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations (2016, methodology): “This operation can be performed on a 2D crossbar array of two-terminal resistive devices as it was proposed more than 50 years ago (Steinbuch, 1961).”
Neural Associative Memory with Optimal Bayesian Learning (2011, methodology): “…model is the so-called Steinbuch or Willshaw model with binary synapses and clipped Hebbian learning (Willshaw, Buneman, & Longuet-Higgins, 1969; Steinbuch, 1961; Palm, 1980, 1991; Golomb, Rubin, & Sompolinsky, 1990; Nadal, 1991; Sommer & Dayan, 1998; Sommer & Palm, 1999; Knoblauch et al.,…”
Synchronization and pattern separation in spiking associative memories and visual cortical areas (2004, methodology): “Insbesondere von dem von Steinbuch [174] vorgeschlagenen und später von Willshaw et al.”
Memory Capacities for Synaptic and Structural Plasticity (2010, methodology): “Storage: In the Willshaw or Steinbuch model (Willshaw et al., 1969; Steinbuch, 1961; Palm, 1980, 1991) not only neurons but also synapses have binary values.”
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].”
Locally Weighted Learning (1997, methodology): “Special Purpose Devices Special purpose hardware for finding nearest neighbors has a long history (Taylor 1959, 1960; Steinbuch 1961; Steinbuch and Piske 1963; Kazmierczak and Steinbuch 1963; Batchelor 1974).”
Linear Transformers Are Secretly Fast Weight Programmers (2021, background): “…outer-product based associative memory can be found in numerous works since Hebb’s informal rule (Hebb, 1949) and its more concrete formal variants (Steinbuch, 1961; Steinbuch & Piske, 1963; Kohonen, 1972; Palm, 1980) including Hopﬁeld networks (Hopﬁeld, 1982; Little, 1974) and bi-directional…”