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Thesis topic proposal
 
Investigation of learning processes in biological and artificial systems

THESIS TOPIC PROPOSAL

Institute: University of Pécs
theoretical medicine
Doctoral School of Basic Medicine

Thesis supervisor: László Zoltán Péczely
Location of studies (in Hungarian): PTE ÁOK
Abbreviation of location of studies: ÁOK


Description of the research topic:

The main goal of this project is to investigate the learning processes in artificial and biological networks/systems, furthermore we aim to reveal the similarities and differences between their functions/behaviours. The results acquired in the experiments with biological systems can open up new ways for elaborating genuine teaching/learning algorithms for artificial neural networks. In turn, the mathematical analysis of the learning processes in artificial systems can greatly contribute to the modeling and deeper understanding of the function of biological systems. In this research, we use electrophysiological and behavioral methods to understand the different aspects of learning processes in biological systems. In addition, modeling of biological systems and description of the algorithms of artificial systems is possible by means of a wide range of mathematical tools. The artificial systems are implemented in computer.

Number of students who can be accepted: 1

Deadline for application: 2024-05-16


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )