Information Processing in Neural Networks: Learning of Structural Connectivity and Dynamics of Functional Activation

Information Processing in Neural Networks: Learning of Structural Connectivity and Dynamics of Functional Activation

Adaptability and flexibility are some of the most important human characteristics. Learning based on new experiences enables adaptation by changing the structural connectivity of the brain through plasticity mechanisms. But the human brain can also adapt to new tasks and situations in a matter of mi...

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Bibliographic Details
Main Author: Finger, Holger Ewald
Other Authors: Prof. Dr. Peter König
Format: Doctoral Thesis
Language:English
Published: 2017
Subjects:
Neural Networks
Deep Learning
Binding by Synchrony
Dynamic Coordination
Structural Connectivity
Functional Connectivity
Temporal Coding
Memory Consolidation
54.72 - Künstliche Intelligenz
30.20 - Nichtlineare Dynamik
F.0 - GENERAL
E.4 - CODING AND INFORMATION THEORY
89.75.Fb - Structures and organization in complex systems
ddc:000
ddc:500
ddc:150
Online Access:https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2017031615634

Internet

https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2017031615634

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