Neural mechanisms of information processing and transmission
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https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202111055552
https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202111055552
Titel: | Neural mechanisms of information processing and transmission |
Autor(en): | Leugering, Johannes |
ORCID des Autors: | https://orcid.org/0000-0003-0956-4139 |
Erstgutachter: | Prof. Dr. Gordon Pipa |
Zweitgutachter: | Prof. Dr. Peter König Prof. Dr. Sen Cheng |
Zusammenfassung: | This (cumulative) dissertation is concerned with mechanisms and models of information processing and transmission by individual neurons and small neural assemblies. In this document, I first provide historical context for these ideas and highlight similarities and differences to related concepts from machine learning and neuromorphic engineering. With this background, I then discuss the four main themes of my work, namely dendritic filtering and delays, homeostatic plasticity and adaptation, rate-coding with spiking neurons, and spike-timing based alternatives to rate-coding. The content of this discussion is in large part derived from several of my own publications included in Appendix C, but it has been extended and revised to provide a more accessible and broad explanation of the main ideas, as well as to show their inherent connections. I conclude that fundamental differences remain between our understanding of information processing and transmission in machine learning on the one hand and theoretical neuroscience on the other, which should provide a strong incentive for further interdisciplinary work on the domain boundaries between neuroscience, machine learning and neuromorphic engineering. |
URL: | https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202111055552 |
Schlagworte: | Theoretical Neuroscience; Neural Information Processing; Artificial Intelligence |
Erscheinungsdatum: | 5-Nov-2021 |
Publikationstyp: | Dissertation oder Habilitation [doctoralThesis] |
Enthalten in den Sammlungen: | FB08 - E-Dissertationen |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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thesis_leugering.pdf | Präsentationsformat | 9,18 MB | Adobe PDF | thesis_leugering.pdf Öffnen/Anzeigen |
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