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. |