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Non-reviewed Conference Papers and Abstracts
learning-recurrent-neural-models-with-minimal-complexity-from-sparse-neural-data
Learning recurrent neural models with minimal complexity from sparse neural data
Research areas:
Neural and Computational Principles of Action and Social Processing
Year:
2002
Type of Publication:
In Collection
Authors:
Giese, Martin A.
Publisher:
NATO Workshop on Learning Theory and Practice, Leuven
BibTex:
@incollection{Gie2002, author = "Martin A. Giese", note = "not reviewed", publisher = "NATO Workshop on Learning Theory and Practice, Leuven", title = "{L}earning recurrent neural models with minimal complexity from sparse neural data", url = "pub/pdf/cns01-motion-final.pdf", year = "2002", }
Note:
not reviewed
Online version
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