Form Versus Function: Theory and Models for Neuronal Substrates
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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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