Stefan Reimann

Position:
Other -- starting Jan 2025
Email:
Work phone:

Based on my studies in Physics and Human Medicine, my interest in computational systems' architectures and their evolution has grown from developmental neurobiology and complex systems’ theory.


After my PhD in Theoretical Physics, I spent several years as a researcher in various disciplines including random systems, autonomous ‘biomimetic’ robotics, ‘evolutionary finance’ and risk modelling. Before joining INI recently, I worked on modelling human working memory at the Department of Psychology - Cognitive Psychology at the University of Zurich.


My current research interest is guided by the intuition that the mathematical framework of Hyper-dimensional computing (VSA’s) might allow to formulate and analyse related algebraic structures to better understand neural computation in the brain and to implement them in neuromorphic architectures.


I hold a Performance Diploma for Bassoon from the Trinity College in London and have been playing and still do in numerous orchestral and chamber music ensembles.

Supervisor

Giacomo Indiveri

Publications

2023

2021

2011

  • S. Reimann, V. Gontis, M. Alaburda Interplay between positive feedbacks in the generalized CEV process, Physica A: Statistical Mechanics and its Applications, 390:(8) 1393-1401, 2011

2002

  • S. Reimann, A. Tupak Can constrained percolation be approximated by Bernoulli percolation?, Journal of Physics A: Mathematical and General, 35:(48) 10219, 2002

2001

  • S. Reimann, J. Bendisch On global site-percolation on the correlated honeycomb lattice, Physica A: Statistical Mechanics and its Applications, 296:(3-4) 391-404, 2001

1998

  • S. Reimann Oscillation and pattern formation in a system of self-regulating cells, Physica D: Nonlinear Phenomena, 114:(3-4), 1998
  • S. Reimann On the design of artificial auto-associative neuronal networks, Neural Networks, 11:(4) 611-621, 1998

1997

  • S. Reimann Symmetry and network structure, Neural Processing Letters, 6:(1) 1-10, 1997