Deep Feedback Learning
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-97628-0_16
Reference19 articles.
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3. Grüsser, O.: Interaction of efferent and afferent signals in visual perception. A history of ideas and experimental paradigms. Acta Psychol. 63, 3–21 (1986)
4. Lillicrap, T.P., Cownden, D., Tweed, D.B., Akerman, C.J.: Random synaptic feedback weights support error backpropagation for deep learning. Nat. Commun. 7, 13276 (2016). http://www.ncbi.nlm.nih.gov/pubmed/27824044
5. Lindsay, G.W., Rigotti, M., Warden, M.R., Miller, E.K., Fusi, S.: Hebbian learning in a random network captures selectivity properties of the prefrontal cortex. J. Neurosci. Off. J, Soc. Neurosci. 37(45), 11021–11036 (2017). http://www.ncbi.nlm.nih.gov/pubmed/28986463
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