Search Results for author: Tom Froese

Found 7 papers, 1 papers with code

Beehive scale-free emergent dynamics

no code implementations28 Nov 2023 Ivan Shpurov, Tom Froese, Dante R. Chialvo

It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems.

On the use of associative memory in Hopfield networks designed to solve propositional satisfiability problems

no code implementations31 Jul 2023 Natalya Weber, Werner Koch, Ozan Erdem, Tom Froese

Hopfield networks are an attractive choice for solving many types of computational problems because they provide a biologically plausible mechanism.

Scaling up the self-optimization model by means of on-the-fly computation of weights

1 code implementation3 Nov 2022 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 model various complex adaptive systems.

Artificial Life

The distribution of inhibitory neurons in the C. elegans connectome facilitates self-optimization of coordinated neural activity

no code implementations28 Oct 2020 Alejandro Morales, Tom Froese

The nervous system of the nematode soil worm Caenorhabditis elegans exhibits remarkable complexity despite the worm's small size.

Neural coordination can be enhanced by occasional interruption of normal firing patterns: A self-optimizing spiking neural network model

no code implementations1 Sep 2014 Alexander Woodward, Tom Froese, Takashi Ikegami

In addition, by using this spiking neural network to emulate a Hopfield network with Hebbian learning, we attempt to make a connection between rate-based and temporal coding based neural systems.

Motility at the origin of life: Its characterization and a model

no code implementations11 Nov 2013 Tom Froese, Nathaniel Virgo, Takashi Ikegami

On this view, self-movement, adaptive behavior and morphological changes could have already been present at the origin of life.

Artificial Life

The Dynamically Extended Mind -- A Minimal Modeling Case Study

no code implementations8 May 2013 Tom Froese, Carlos Gershenson, David A. Rosenblueth

A prominent critique of this claim holds that when some part of the world is coupled to a cognitive system this does not necessarily entail that the part is also constitutive of that cognitive system.

Cannot find the paper you are looking for? You can Submit a new open access paper.