Neural Ring Homomorphisms and Maps Between Neural Codes
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Publication:5118364
DOI10.1007/978-3-030-43408-3_7zbMath1448.62214arXiv1511.00255OpenAlexW3159316707MaRDI QIDQ5118364
Publication date: 8 September 2020
Published in: Topological Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1511.00255
Applications of statistics to biology and medical sciences; meta analysis (62P10) Persistent homology and applications, topological data analysis (55N31) Topological data analysis (62R40)
Related Items (2)
Cites Work
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- The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes
- Obstructions to convexity in neural codes
- Homomorphisms preserving neural ideals
- On open and closed convex codes
- Algebraic signatures of convex and non-convex codes
- What can topology tell us about the neural code?
- Combinatorial Neural Codes from a Mathematical Coding Theory Perspective
- A No-Go Theorem for One-Layer Feedforward Networks
- What Makes a Neural Code Convex?
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