Form Versus Function: Theory and Models for Neuronal Substrates

• Κύριος συγγραφέας: Petrovici, Mihai Alexandru (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Physics.; Neurosciences.; Computer simulation.; Neurobiology.; Neural networks (Computer science).; Numerical and Computational Physics.; Mathematical Models of Cognitive Processes and Neural Networks.; Simulation and Modeling.

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 th...

Πίνακας περιεχομένων:

• Prologue
• Introduction: From Biological Experiments to Mathematical Models
• Artificial Brains: Simulation and Emulation of Neural Networks
• Dynamics and Statistics of Poisson-Driven LIF Neurons
• Cortical Models on Neuromorphic Hardware
• Probabilistic Inference in Neural Networks
• Epilogue.