3 papers
cs.NE2025
Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning
Natalya Weber, Christian Guckelsberger, Tom Froese
The Self-Optimization (SO) model can be considered as the third operational mode of the classical Hopfield Network, leveraging the power of associative memory to enhance optimizati…
q-bio.QM2025
A critical phase transition in bee movement dynamics can be modeled using a 2D cellular automata
Ivan Shpurov, Tom Froese
The collective behavior of numerous animal species, including insects, exhibits scale-free behavior indicative of the critical (second-order) phase transition. Previous research un…
nlin.AO2024
On the use of associative memory in Hopfield networks designed to solve propositional satisfiability problems
Natalya Weber, Werner Koch, Ozan Erdem +1
Hopfield networks are an attractive choice for solving many types of computational problems because they provide a biologically plausible mechanism. The Self-Optimization (SO) mode…