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Network: Computation in Neural Systems Volume 3, 1992 - Issue 4
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Original Article

Performance characteristics of the associative net

Jay Buckingham Computer Science Department, University of Massachusetts, Amhent, MA, 01003, USA
&
David Willshaw Centre for Cognitive Science, University of Edinburgh, 2 Buccleuch Place, Edinburgh, EH8 9LW, Scotland, UK
Pages 407-414 | Received 06 Jul 1992, Published online: 09 Jul 2009

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Read on this site (4)

Simona Doboli & Ali A Minai. (2003) Network capacity analysis for latent attractor computation. Network: Computation in Neural Systems 14:2, pages 273-302.
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Bruce Graham & David Willshaw. (1997) Capacity and information efficiency of the associative net. Network: Computation in Neural Systems 8:1, pages 35-54.
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A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. I. Correction. Network: Computation in Neural Systems 6:4, pages 513-534.
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Jay Buckingham & David Willshaw. (1993) On setting unit thresholds in an incompletely connected associative net. Network: Computation in Neural Systems 4:4, pages 441-459.
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Articles from other publishers (18)

Günther PalmGünther Palm. 2022. Neural Assemblies. Neural Assemblies 49 72 .
Andreas Knoblauch & Günther Palm. (2020) Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory. Neural Computation 32:1, pages 205-260.
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Andreas Knoblauch & Günther Palm. 2019. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation 3 19 .
Andreas Knoblauch. 2017. The Rewiring Brain. The Rewiring Brain 361 386 .
Andreas Knoblauch & Friedrich T. Sommer. (2016) Structural Plasticity, Effectual Connectivity, and Memory in Cortex. Frontiers in Neuroanatomy 10.
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Andreas Knoblauch. (2016) Efficient Associative Computation with Discrete Synapses. Neural Computation 28:1, pages 118-186.
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Andreas Knoblauch, Edgar Körner, Ursula Körner & Friedrich T. Sommer. (2014) Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect. PLoS ONE 9:5, pages e96485.
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Andreas Knoblauch. (2011) Neural Associative Memory with Optimal Bayesian Learning. Neural Computation 23:6, pages 1393-1451.
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Andreas Knoblauch, Günther Palm & Friedrich T. Sommer. (2010) Memory Capacities for Synaptic and Structural Plasticity. Neural Computation 22:2, pages 289-341.
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Christian LeiboldRichard Kempter. (2006) Memory Capacity for Sequences in a Recurrent Network with Biological Constraints. Neural Computation 18:4, pages 904-941.
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Simona Doboli & Ali Minai. (2003) Network capacity analysis for latent attractor computation. Network: Computation in Neural Systems 14:2, pages 273-302.
Crossref
A. Billard & G. Hayes. (1999) DRAMA, a Connectionist Architecture for Control and Learning in Autonomous Robots. Adaptive Behavior 7:1, pages 35-63.
Crossref
Bruce Graham & David Willshaw. (1997) Capacity and information efficiency of the associative net. Network: Computation in Neural Systems 8:1, pages 35-54.
Crossref
Bruce Graham & David Willshaw. 1996. Artificial Neural Networks — ICANN 96. Artificial Neural Networks — ICANN 96 35 40 .
A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. I. Correction. Network: Computation in Neural Systems 6:4, pages 513-534.
Crossref
Bruce Graham & David Willshaw. (1995) Improving recall from an associative memory. Biological Cybernetics 72:4, pages 337-346.
Crossref
M. Budinicht, B. Graham & D. Willshaw. 1994. ICANN ’94. ICANN ’94 405 408 .
Jay Buckingham & David Willshaw. (1993) On setting unit thresholds in an incompletely connected associative net. Network: Computation in Neural Systems 4:4, pages 441-459.
Crossref

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