Összes szerző

---

Szarvas Zoltán

az alábbi absztraktok szerzői között szerepel:

Nagy Máté
High-throughput collective animal behavior studies and their connections to artificial systems

Aug 29 - kedd

11:30 – 11:45

Modern biofizikai módszerek

E10

High-throughput collective animal behavior studies and their connections to artificial systems

Máté Nagy^1,2,3, Evelin Berekméri^1,2, Pedro Lacerda^1,2, Göksel Keskin^1,2, Zoltán Szarvas^1,2, Péter Palatitz¹, Tamás Nepusz², Gábor Vásárhelyi²

¹ MTA-ELTE Lendület Collective Behaviour Research Group, Hungarian Academy of Sciences, Budapest, Hungary
² Department of Biological Physics, Eötvös Loránd University, Budapest, Hungary

³ Max-Planck Institute of Animal Behavior, Konstanz, Germany

Spectacular aerial displays of birds, the mesmerizing swirling of giant schools of fish or the rumbling gallop of hundreds of horses are fascinating examples of group behavior occurring in nature. During the presentation, we examine how these interesting phenomena are created through the interactions of individuals with each other and their environment, and how we can understand them with the help of physics and emerging technologies. What ways can we measure and quantify behavior using high-throughput methods and deep learning. Virtual reality for animals provides a tool to study decision making, and to test hypotheses through animals interacting with computational models. Can robots using artificial intelligence achieve similar (or even better) performance as animals? Let's see what we can learn from the biological insights and how we can use them to design improved artificial systems.