Cognition and Neurocomputation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10472-020-09713-3.pdf
Reference14 articles.
1. LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature. 521(7553), 436–444 (May 2015). https://doi.org/10.1038/nature14539
2. Bellman, R.E.: Adaptive Control Processes: a Guided Tour. Princeton University Press, Princeton, New Jersey (1961)
3. Fort, G., Lambert-Lacroix, S.: Classification using partial least squares with penalized logistic regression. Bioinformatics. 21(7), 1104–1111 (Apr. 2005). https://doi.org/10.1093/bioinformatics/bti114
4. A. Frid and L. M, Manevitz, “Analyzing Cognitive Processes from Complex Neuro-Physiologically Based Data: Some Lessons,” Ann. Math. Artif. Intell., (2019), doi: https://doi.org/10.1007/s10472-019-09669-z
5. N. Marrouch, J. Slawinska, D. Giannakis, and H. L. Read, “Data-Driven Koopman Operator Approach for Computational Neuroscience,” Ann. Math. Artif. Intell., Nov. (2019), doi: https://doi.org/10.1007/s10472-019-09666-2
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