Prof. Dr. Claudius Gros
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offene Doktorandenstelle:
Theorie komplexer Systeme / Teoretische Neurowissenschaften.
(pdf)
Vorlesung im SS 2013:
Theorie komplexer und adaptiver dynamischer Systeme
Aktuell: Interview in
Uni Report zum Thema
Grenzen
des Fortschritts
open PhD position:
complex systems theory / computational neurosciences.
(pdf)
Mailing address:
Goethe Universität Frankfurt
Institut für Theoretische Physik
Postfach 111932
60054 Frankfurt/Main
Germany
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Venue:
Campus Riedberg
Physics building
room number 01.132
Max-von-Laue Str. 1
60438 Frankfurt/Main
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Contact:
phone: +49 69 798 47818
fax : +49 69 798 47832
e-mail:
gros07@[please
remove]itp.uni-frankfurt.de
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Maripola Kolokotsa - secretary
phone: +49 69 798 47817
fax : +49 69 798 47832
e-mail:
mkolokotsa@[please
remove]itp.uni-frankfurt.de
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Cognitive and Complex System Theory
A cognitive system is a percepting and autonomously
acting dynamical system. It is influenced, but not driven
by sensory input, its self-generated internal dynamics
plays therefore a central role.
We are developing organizational principles for autonomous
cognitive systems and complex and adaptive dynamical systems.
Examples of organizational principles are polyhomeostasis,
a generalization of homeostasis, and diffusive emotional
control, an instantiation of meta-learning.
[more]
For information regarding possible Bachelor and Master theses
please consult the flyer.
Part of our simulations are performed with the
Brain
interactive simulation software package, which is in
continous development.
Solid state theory
The high temperature superconductors, like
SrxLa2-xCuO4, are
examples of strongly correlated electron systems,
with a phase diagram where a Mott insulating state
is in close proximity to a d-wave superconducting state.
Another example of compounds with non-trivial electron
correlations are the charge transfer salts, with
possible spin-liquid, spiral and magnetic states in
close proximity.
We develop methods to investigate the ground-state
properties of correlated and frustrated electron systems,
using state-of-the-art variational approaches.
[more]
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