Noise Tolerance of Attractor and Feedforward Memory Models

DOI10.1162/NECO_A_00234zbMath1237.92001DBLPjournals/neco/LimG12WikidataQ41138787 ScholiaQ41138787MaRDI QIDQ2885096

Mark S. Goldman, Sukbin Lim

Publication date: 21 May 2012

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (5)

Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks ⋮ Nonequilibrium Statistical Mechanics of Continuous Attractors ⋮ A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks ⋮ Short term memory properties of sensory neural architectures ⋮ Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons

Uses Software

• Eigtool

Cites Work

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• A model of visuospatial working memory in prefrontal cortex: Recurrent network and cellular bistability
• Vector reconstruction from firing rates
• Matrix Analysis
• SIMPLE NEURAL NETWORKS THAT OPTIMIZE DECISIONS

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