Cargando…
Neural kernels for recursive support vector regression as a model for episodic memory
Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories is thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order info...
Autor principal: | Leibold, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170657/ https://www.ncbi.nlm.nih.gov/pubmed/35348879 http://dx.doi.org/10.1007/s00422-022-00926-9 |
Ejemplares similares
-
Recursive neural networks for associative memory
por: Kamp, Yves, et al.
Publicado: (1990) -
Kernel-Free Quadratic Surface Support Vector Regression with Non-Negative Constraints
por: Wei, Dong, et al.
Publicado: (2023) -
Recursive Feature Selection with Significant Variables of Support Vectors
por: Tsai, Chen-An, et al.
Publicado: (2012) -
Kernel recursive least square tracker and long-short term memory ensemble based battery health prognostic model
por: Ali, Muhammad Umair, et al.
Publicado: (2021) -
Modeling DNA affinity landscape through two-round support vector regression with weighted degree kernels
por: Wang, Xiaolei, et al.
Publicado: (2014)