ArticleAdvances in applied mathematics2024
Stable fixed points of combinatorial threshold-linear networks.
Article in Advances in applied mathematics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Attractor-Based Models for Sequences and Pattern Generation in Neural Circuits.Neural computation · 2026Article
- Constructing neural networks with pre-specified dynamics.Scientific reports · 2024Article
- Article
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- Sequential Attractors in Combinatorial Threshold-Linear Networks.SIAM journal on applied dynamical systems · 2022Article
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3 authors.
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Abstract
Combinatorial threshold-linear networks (CTLNs) are a special class of recurrent neural networks whose dynamics are tightly controlled by an underlying directed graph. Recurrent networks have long been used as models for associative memory and pattern completion, with stable fixed points playing the role of stored memory patterns in the network. In prior work, we showed that
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