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Dynamic Neural Fields with Intrinsic Plasticity
Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach. Within dynamic field theory, the DNFs have been used as building blocks in architectures to model sensorimotor embe...
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| Publicat a: | Front Comput Neurosci |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5583149/ https://ncbi.nlm.nih.gov/pubmed/28912706 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00074 |
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