129 citations · 192 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Scaling up the self-optimization model by means of on-the-fly computation of weights
Natalya Weber, Werner Koch, Tom Froese
The Self-Optimization (SO) model is a useful computational model for investigating self-organization in "soft" Artificial life (ALife) as it has been shown to be general enough to…
Neural coordination can be enhanced by occasional interruption of normal firing patterns: A self-optimizing spiking neural network model
Alexander Woodward, Tom Froese, Takashi Ikegami
The state space of a conventional Hopfield network typically exhibits many different attractors of which only a small subset satisfy constraints between neurons in a globally optim…
Embodied social interaction constitutes social cognition in pairs of humans: A minimalist virtual reality experiment
Tom Froese, Hiroyuki Iizuka, Takashi Ikegami
Scientists have traditionally limited the mechanisms of social cognition to one brain, but recent approaches claim that interaction also realizes cognitive work. Experiments under…