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TOPOLOGICAL METHODS IN DYNAMICAL SYSTEMS (MS-65)

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Dynamics and bifurcations of a map-based neuron model

Frank Fernando Llovera Trujillo, frankllovera91@gmail.com
Gdansk University of Technology, Poland
Coauthor: Justyna Signerska-Rynkowska

The Chialvo Model is a well known 2D discrete scheme to describe the dynamics of single
neurons. However the existing analytical and numerical results do not yield complete picture of
its dynamics. In some parameters regime this system can be viewed as singularly perturbed

(nonlinear ) discrete system. Observing, that the fast-subsystem is given by the S- unimodal
map, we are able to precisely describe the dynamics of the reduced 1D model

and extend some of these results to the full model. In particular we study flip and saddle-
node bifurcations and chaotic behaviours in the model, interpreting them in terms of Izhikevich-
Hoppensteadt classification of bursting mappings which is important from the point of neuron’s
electrophysiology and excitability properties. Our analytical findings are illustrated numeri-
cally.

Topological estimates of the number of vertices of minimal triangulation

Wacław Marzantowicz, marzan@amu.edu.pl
Adam Mickiewicz University in Poznan´, Poland

Coauthors: Dejan Govc, Petar Pavešic´

From the beginning of the algebraic topology, then also called the combinatorial topology, i.e.
from the beginning of the 20th century, its basic object is the simplicial complex. The represen-
tation of a given topological space X as a simplicial complex (i.e. a homeomorphism with it)

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