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Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs

Neural Computation (2010) 22 (3): 660–688.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
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Neural Computation (2020) 32 (7): 1322.
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Neural Computation (2020) 32 (6): 1069.
First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement
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Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory
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Mean First Passage Memory Lifetimes by Reducing Complex Synapses to Simple Synapses
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Variations on the Theme of Synaptic Filtering: A Comparison of Integrate-and-Express Models of Synaptic Plasticity for Memory Lifetimes
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A high-capacity model for one shot association learning in the brain
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Memory Capacity of Networks with Stochastic Binary Synapses
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PLoS Computational Biology (2014) 10 (8): e1003727.
Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes
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Neural Computation (2014) 26 (9): 1873.
Re-encoding of associations by recurrent plasticity increases memory capacity
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Frontiers in Synaptic Neuroscience (2014) 6
Inhomogeneous Sparseness Leads to Dynamic Instability During Sequence Memory Recall in a Recurrent Neural Network Model
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The Journal of Mathematical Neuroscience (2013) 3 (1): 8.
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Capacity analysis in multi-state synaptic models: a retrieval probability perspective
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Journal of Computational Neuroscience (2011) 30 (3): 699.
Synaptic tagging, evaluation of memories, and the distal reward problem
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Learning & Memory (2011) 18 (1): 58.

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