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Original Article

On setting unit thresholds in an incompletely connected associative net

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Pages 441-459 | Received 16 Jul 1992, Published online: 09 Jul 2009

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Read on this site (8)

Christian Leibold. (2011) What Autoassociative Network Models May Tell us about the Neurobiology of Memory. Network: Computation in Neural Systems 22:1-4, pages 231-250.
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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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Rafal Bogacz & Malcolm W Brown. (2002) The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks. Network: Computation in Neural Systems 13:4, pages 457-485.
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A C Smith, X B Wu & W B Levy. (2000) Controlling activity fluctuations in large, sparsely connected random networks. Network: Computation in Neural Systems 11:1, pages 63-81.
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Miguel Maravall. (1999) Sparsification from dilute connectivity in a neural network model of memory. Network: Computation in Neural Systems 10:1, pages 15-39.
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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.
Read now
Hajime Hirase & Michael Recce. (1996) A search for the optimal thresholding sequence in an associative memory. Network: Computation in Neural Systems 7:4, pages 741-756.
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Toshiaki Tanaka. (1996) Bit error probability of an associative memory with many-to-many correspondence. Network: Computation in Neural Systems 7:3, pages 573-586.
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Articles from other publishers (28)

Vassilis Cutsuridis. (2019) Improving the Recall Performance of a Brain Mimetic Microcircuit Model. Cognitive Computation 11:5, pages 644-655.
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D. A. Rachkovskij. (2017) Index Structures for Fast Similarity Search for Binary Vectors. Cybernetics and Systems Analysis 53:5, pages 799-820.
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Volodymyr GRITSENKO, A. RACHKOVSKIJ, A. FROLOV, R. GAYLER, D. KLEYKO & E. OSIPOV. (2017) Neural Autoassociative Memories for Binary Vectors: A Survey. Kibernetika i vyčislitelʹnaâ tehnika 2017:2(188), pages 5-35.
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Marcelo Matheus Gauy, Florian Meier & Angelika Steger. (2017) Multiassociative Memory: Recurrent Synapses Increase Storage Capacity. Neural Computation 29:5, pages 1375-1405.
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Andreas Knoblauch. 2017. The Rewiring Brain. The Rewiring Brain 361 386 .
C. Dias, J. Ventura & P. Aguiar. 2017. Advances in Memristors, Memristive Devices and Systems. Advances in Memristors, Memristive Devices and Systems 305 342 .
Andreas Knoblauch & Friedrich T. Sommer. (2016) Structural Plasticity, Effectual Connectivity, and Memory in Cortex. Frontiers in Neuroanatomy 10.
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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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Marc Päpper, Richard Kempter & Christian Leibold. (2010) Synaptic tagging, evaluation of memories, and the distal reward problem. Learning & Memory 18:1, pages 58-70.
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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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Vassilis Cutsuridis, Stuart Cobb & Bruce P. Graham. (2009) Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus, pages NA-NA.
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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
Rafal Bogacz & Malcolm Brown. (2002) The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks. Network: Computation in Neural Systems 13:4, pages 457-485.
Crossref
A Smith, X Wu & W Levy. (2000) Controlling activity fluctuations in large, sparsely connected random networks. Network: Computation in Neural Systems 11:1, pages 63-81.
Crossref
Miguel Maravall. (1999) Sparsification from dilute connectivity in a neural network model of memory. Network: Computation in Neural Systems 10:1, pages 15-39.
Crossref
Bruce GrahamDavid Willshaw. (1999) Probabilistic Synaptic Transmission in the Associative Net. Neural Computation 11:1, pages 117-137.
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F.T. Sommer & P. Dayan. (1998) Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9:4, pages 705-713.
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Mick Turner & Jim Austin. (1997) Matching performance of binary correlation matrix memories. Neural Networks 10:9, pages 1637-1648.
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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.
Crossref
Hajime Hirase & Michael Recce. (1996) A search for the optimal thresholding sequence in an associative memory. Network: Computation in Neural Systems 7:4, pages 741-756.
Crossref
Toshiaki Tanaka. (1996) Bit error probability of an associative memory with many-to-many correspondence. Network: Computation in Neural Systems 7:3, pages 573-586.
Crossref
Bruce Graham & David Willshaw. 1996. Artificial Neural Networks — ICANN 96. Artificial Neural Networks — ICANN 96 35 40 .
Preben Alstrøm & Dimitris Stassinopoulos. (1995) Versatility and adaptive performance. Physical Review E 51:5, pages 5027-5032.
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Bruce Graham & David Willshaw. (1995) Improving recall from an associative memory. Biological Cybernetics 72:4, pages 337-346.
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. (1994) Non-symbolic approaches to artificial intelligence and the mind. Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences 349:1689, pages 87-102.
Crossref
M. Budinicht, B. Graham & D. Willshaw. 1994. ICANN ’94. ICANN ’94 405 408 .

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