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Learning and exploration in action-perception loops
Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a primary function of the brain. When data can be actively collected in the context of a closed action-perception loop, behavior becomes a critical de...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2013
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| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3619626/ https://ncbi.nlm.nih.gov/pubmed/23579347 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncir.2013.00037 |
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