[institut] Podsecanje, danas je SCL seminar, Igor Franovic, petak, 25. april, 14:00

[Nenad Vukmirović]

Поштоване колегинице и колеге,

Подсећам вас да ће се семинар најављен доњом електронском поруком 
одржати данас.

Срдачан поздрав,

-- 
Др Ненад Вукмировић,
Виши научни сарадник,
Лабораторија за примену рачунара у науци,
Институт за физику Београд,
Србија.
URL: http://www.scl.rs/nenad



-------- Original Message --------
Subject: [institut] SCL seminar, Igor Franovic, petak, 25. april, 14:00
Date: Wed, 23 Apr 2014 14:48:17 +0200
From: Antun Balaz <antun at ipb.ac.rs>
To: Institut za fiziku <institut at ipb.ac.rs>, Fizicki fakultet 
<nastavnici at ff.bg.ac.rs>, Fizicari Vinca <fizicari at vinca.rs>
CC: SCL All <scl-all at scl.rs>

Поштоване колегинице и колеге,

Позивам вас на SCL семинар који ће у петак, 25. априла 2014. године у 
14:00 у читаоници библиотеке Института за физику одржати Игор Франовић 
(SCL, Институт за физику Београд). Наслов семинара је:

Statistical Physics of Neuronal Systems

Abstract:

Given the multiplicity of characteristic spatial and temporal scales, 
the complex multistage nature of interactions, the hierarchical modular 
organization as well as the wealth of emergent phenomena based on 
synchronization between the units’ activity, the neuronal systems may be 
regarded as the paradigmatic examples of complex systems. In this 
context, several basic notions, including the phase theory of 
synchronization, excitability, bursting, noise and time delay will be 
introduced in brief. The main focus of the talk will lie with the 
collective motion of ensembles whose local dynamics involves 
excitability or bursting, the two regimes of activity typical for 
biological neurons. Regarding the former, the extent of analogy between 
the self-organization phenomena in coupled phase oscillators and the 
ensembles of excitable units is examined by considering as an example 
the recent discovery on spontaneous formation of asymptotically stable 
or dynamical cluster states in homogeneous ensembles of excitable units 
influenced by noise and interaction delay. For the excitable systems, it 
will also be demonstrated how the stochastic stability and stochastic 
bifurcations which lead to the onset or the suppression of the 
collective mode can be characterized in terms of the deterministic 
mean-field model, based on the quasi- independence and Gaussian 
approximations. In case of bursting units, two types of results will be 
presented: apart from the qualitative and quantitative predictions of 
the appropriate mean-field model, the elements of the theory of complex 
networks will be used to analyze the relation between the structural and 
different forms of functional neuronal networks. For each of the 
considered topics, the aim will not only be to discuss the results 
already obtained, but also to point at the related problems whose 
solving would be of particular interest.


Срдачан поздрав,
Антун Балаж

-----
Antun Balaz
E-mail: antun at ipb.ac.rs
Web: http://www.scl.rs/antun

Phone: +381 11 3713152
Fax: +381 11 3162190

Scientific Computing Laboratory
Institute of Physics Belgrade
Pregrevica 118, 11080 Belgrade, Serbia
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