The physics of Neural Networks

Tuesdays 10:30 - 12:00 - Seminar Room 4.18 (unless otherwise advertised)

Topics for talks

14.05.2019F. FolzBrain, Neurons, Synapsis
 N. AditiGraph Theory + Network Theory I
21.05.2019P.-M. NeyGraph Theory + Network Theory II
 A. ProtBasic Notions of Dynamical System Theory I
04.06.2019M. PaulusBasic Notions of Dynamical System Theory II
 A. TeymouriDissipation, Noise, Adaptive Systems I
11.06.2019W. WeberDissipation, Noise, Adaptive Systems II
 M. MenningerSelf-organization and Pattern Formation I
18.06.2019R. BeckerSelf-organization and Pattern Formation II
 T. SchmitComplexity and Information Theory I
25.06.2019S. JägerComplexity and Information Theory II
 L. GiannelliCellular Automata & Self-organized Criticality I
02.07.2019M. KuczynskiCellular Automata & Self-organized Criticality II
 D. HeadleyRandom Boolean Networks*
09.07.2019R. KrausSynchronization Phemomena
 S. SharmaElements of Cognitive System Theory

These topics are inspired by the chapters of the book “Complex and Adaptive Dynamical Systems” by Claudius Gros. It can be accessed on

* The paper “Introduction to Random Boolean Networks” by Carlos Gershenson gives a nice overview of this topic.

The slides of the talks are accessible on

Recommended research papers covering advanced topics:


  • “Complex and Adaptive Dynamical Systems”, Claudius Gros. In this seminar we will focus on the chapters 1-5, 7 and 8. The book can be accessed on

Paper of the week

Former papers of the week

Physicist’s Playground

Figure: Structure moving on the grid of Conway’s Game of Life (upper). Evolving initial state on the surface of a knot (lower)[2].

[1] The dataset is made available under a Creative Commons Attribution-Share Alike 3.0 license. No changes have been made to this dataset.

[2] Simulation done by Raphaelaugusto and made available under a Creative Commons Attribution-Share Alike 4.0 license. No changes have been made to this simulation.