Geometry of EM and related iterative algorithms
Abstract The Expectation–Maximization (EM) algorithm is a simple meta-algorithm that has
been used for many years as a methodology for statistical inference when there are missing …
been used for many years as a methodology for statistical inference when there are missing …
Memory Consolidation: Neural Data Analysis and Mathematical Modeling
M Tatsuno, M Eckert - Handbook of Cognitive Mathematics, 2022 - Springer
Memory is crucial for our cognitive abilities such as perception and decision making.
Understanding how the brain learns and remembers is, therefore, one of the most important …
Understanding how the brain learns and remembers is, therefore, one of the most important …
[图书][B] Adaptive myelination and its synchronous dynamics in the Kuramoto network model with state-dependent delays
SH Park - 2021 - search.proquest.com
White matter pathways form a complex network of myelinated axons that play a critical role
in brain function by facilitating the timely transmission of neural signals. Recent evidence …
in brain function by facilitating the timely transmission of neural signals. Recent evidence …