Thesis supervisor: Zoltán Attila Godó
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: DE IK
Description of the research topic:
Syllabus
Computer-aided neurology is among the most dynamically developing scientific fields of our age. Its especially progressive trend is when a multiprocessed neural network is developed in real hardware, and directly connected to certain parts of a live nervous system.
During the research, a microcontroller-based, multiprocessed, parallel, analog/digital neural network needs to be developed. Both its hardware-electronic and software aspects need to be implemented. Via its analog interface, with the help of an array of multielectrodes, the artificial neural network connects to the live nervous system of inferior species and realizes a bidirectional data flow with it.
Basic laws of functioning of the central nervous system and certain effects affecting it can be studied with the system, certain aspects of the live nervous system can be modelled, or models of supercomputer-aided neural networks can be built based on the analogy of the live nervous system.
Bibliography
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• Schutter, Erik de (2001). Computational neuroscience: realistic modeling for experimentalists. Boca Raton: CRC. ISBN 0-8493-2068-2.
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Deadline for application: 2022-11-15
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).
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