Randomized Self Organizing Map
| Autor: | Georgios Detorakis, Nicolas P. Rougier |
|---|---|
| Přispěvatelé: | Mnemonic Synergy (Mnemosyne), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), adNomus Inc., San Jose, CA, USA, This work was partially funded by grant ANR-17-CE24-0036., ANR-17-CE24-0036,SOMA,Auto-organisation dans les architectures matérielles neuromorphiques(2017), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest |
| Rok vydání: | 2020 |
| Předmět: |
Self-organizing map
FOS: Computer and information sciences Computer Science - Machine Learning Computer science Cognitive Neuroscience 02 engineering and technology Network topology Machine Learning (cs.LG) 03 medical and health sciences 0302 clinical medicine Arts and Humanities (miscellaneous) [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] 0202 electrical engineering electronic engineering information engineering Neural and Evolutionary Computing (cs.NE) Difference-map algorithm Neurons business.industry Computer Science - Neural and Evolutionary Computing Pattern recognition Manifold Data set Colors of noise 020201 artificial intelligence & image processing Topological data analysis Artificial intelligence Neural Networks Computer business 030217 neurology & neurosurgery MNIST database Algorithms |
| Zdroj: | Neural Computation Neural Computation, Massachusetts Institute of Technology Press (MIT Press), In press Neural Computation, inPress, ⟨10.1162/neco_a_01406⟩ |
| ISSN: | 0899-7667 1530-888X |
| DOI: | 10.48550/arxiv.2011.09534 |
| Popis: | We propose a variation of the self organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue noise distribution from which various topologies can be derived. These topologies possess random (but controllable) discontinuities that allow for a more flexible self-organization, especially with high-dimensional data. The proposed algorithm is tested on one-, two- and three-dimensions tasks as well as on the MNIST handwritten digits dataset and validated using spectral analysis and topological data analysis tools. We also demonstrate the ability of the randomized self-organizing map to gracefully reorganize itself in case of neural lesion and/or neurogenesis. Comment: 32 pages, 19 figures |
| Databáze: | OpenAIRE |
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