ELFT HÍRADÓ

[Biro Tamas <biro.tamas AT wigner.mta.hu>]

Bocsánat, kedd október 2.

My apologies; Tuesday will be October 2nd.

-------- Eredeti üzenet --------
Tárgy: [Fizinfo] Wigner kollokvium, okt.1. 14:00
Dátum: 2018-09-25 13:55
Feladó: Biro Tamas <biro.tamas AT wigner.mta.hu>
Címzett: fizinfo AT lists.kfki.hu, wignerusers AT wigner.mta.hu

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Kedves Kollégák, Dear Colleagues:

a következő Wigner Kollokviumot október 2.-án (kedden) tartjuk, 14:00 
órai kezdettel a szokásos helyszínen (KFKI 1. épület tanácsterem).

The next Wigner Colloquium will be held on October 2nd (Tuesday), 
starting at 14:00 at the usual location (KFKI campus, Building 1, 
Meeting Room).

Előadó/Speaker:  Chi Keung Chan
    (Institute of Physics, Academia Sinica, Taiwan)

Cím/Title: Anticipating Dynamics of Retina.


Abstract: Anticipation is the phenomenon in which a neural system 
generates responses ahead of the actual occurrence of the relevant 
stimulations. Obviously, anticipation is essential for the survival of 
living organism to compensate for the time delay induced by signal 
propagation/processing. A famous example is the anticipative arrival of 
a moving object (flash and lag effect) before its actual presence as 
perceived by our visual system. Recently, it is found that anticipation 
in our visual system can occur as early as in our retina. Although the 
retina is a relatively simple neural network, the basic mechanism of its 
anticipative capability is still far from clear. In this talk, we will 
review experiments on anticipative dynamics of retinas and discuss how 
our laboratory extends some of these works by using the concept of 
predictive information together with stochastic stimulations. Our main 
finding is that the retinal neural network can make use of the hidden 
information in stimulations generated by hidden Markov models to form 
anticipation while stimulations generated from Markov models (such as 
the Ornstein–Uhlenbeck process) cannot elicit anticipative responses 
from a retina. This last result might provide insights for the 
understanding of the anticipative mechanism of the retina in terms of 
its neural network.

https://indico.kfki.hu/event/902

Üdvözlettel

    Biró Tamás.

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