Learning emergent PDEs in a learned emergent space

no code implementations • 23 Dec 2020 • Felix P. Kemeth, Tom Bertalan, Thomas Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis

These coordinates then serve as an emergent space in which to learn predictive models in the form of partial differential equations (PDEs) for the collective description of the coupled-agent system.

Degree assortativity in networks of spiking neurons

1 code implementation • 1 Apr 2020 • Christian Blasche, Shawn Means, Carlo R. Laing

Degree assortativity refers to the increased or decreased probability of connecting two neurons based on their in- or out-degrees, relative to what would be expected by chance.

Adaptation and Self-Organizing Systems

The effects of within-neuron degree correlations in networks of spiking neurons

1 code implementation • 1 Apr 2020 • Carlo R. Laing, Christian Blasche

We consider the effects of correlations between the in- and out-degrees of individual neurons on the dynamics of a network of neurons.

Adaptation and Self-Organizing Systems