Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
   Login via CAS
Spatial modeling of brain tissue
Thesis title in Czech: Modelování prostorových vlastností mozkové tkáně
Thesis title in English: Spatial modeling of brain tissue
Key words: Neuronové sítě, Celulární automaty, Kognitivní vědy, Evoluční algoritmy
English key words: Neural networks, Cellular automata, Cognitive science, Evolutionary algorithms
Academic year of topic announcement: 2013/2014
Thesis type: diploma thesis
Thesis language: angličtina
Department: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Supervisor: Mgr. Roman Neruda, CSc.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 20.11.2013
Date of assignment: 20.11.2013
Confirmed by Study dept. on: 26.11.2013
Date and time of defence: 21.01.2014 10:00
Date of electronic submission:06.12.2013
Date of submission of printed version:06.12.2013
Date of proceeded defence: 21.01.2014
Opponents: doc. Mgr. Cyril Brom, Ph.D.
 
 
 
Guidelines
Continuously extended biological knowledge about the organic brain has given rise to numerous models in computer science. There are two aims which drive the exploration. The first is to build biologically plausible models of cells and offer an explanation of what is being observed, while the second is to develop useful mathematical tools for solving complex problems. The thesis will address the former area and verify the results using the latter. The student will investigate spatial properties of brain tissue and present a model incorporating the principle ideas acquired. Computational strength of the model will be examined both theoretically and experimentally, and a formal definition and a software implementation will be provided.
References
[1] ALONSO-SANZ, Ramon. Discrete systems with memory. Hackensack, N.J.: World Scientific, 2011

[2] ROJAS, Raúl. Neural networks: a systematic introduction. New York: Springer-Verlag, 1996

[3] BEAR, Mark F., Barry W. CONNORS, Michael A. PARADISO. Neuroscience: exploring the brain. 3rd ed. Philadelphia: Lippincott Williams & Wilkins, 2007, xxxviii, 857 pages.

[4] MITCHELL, Melanie. An introduction to genetic algorithms. Cambridge: MIT Press, 1998, viii, 209 pages.
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html