Form Versus Function: Theory and Models for Neuronal Substrates / Springer Theses (PDF)
(Sprache: Englisch)
This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data?...
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This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models.
The thesis offers an essential resource for newcomers to the field and an inspiration for scientists working in theoretical neuroscience and the future of computing.
Autoren-Porträt von Mihai Alexandru Petrovici
Mihai Petrovici started studying Physics at the University of Heidelberg in 2001. During his early undergraduate days, he worked on particle tracking for the ALICE experiment at CERN. For his diploma thesis, he moved to solid state physics, where he studied glasses at low temperatures. He began his PhD in 2008 in the Electronic Vision(s) group of Karlheinz Meier and Johannes Schemmel, where he worked at the interface of theoretical neuroscience and neuromorphic computing, earning his doctorate with summa cum laude in 2015. During this time, he established a theoretical department within the Vision(s) group, which he is currently leading.
Bibliographische Angaben
- Autor: Mihai Alexandru Petrovici
- 2016, 1st ed. 2016, 374 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319395521
- ISBN-13: 9783319395524
- Erscheinungsdatum: 19.07.2016
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Grösse: 24 MB
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Englisch
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