Brain leitmotifs: the structure and activity patterns of neuronal networks
This book tackles the question of why the brain is so difficult to fully understand. In neuroscience, data are acquired and analyzed with astonishing techniques and accumulate rapidly. Nevertheless, try to explain how a person can think or why there is such a condition as schizophrenia, and it appea...
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| Main Authors: | , |
|---|---|
| Format: | Book/Monograph |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2024
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| Edition: | 1st ed. 2024 |
| Online Access: | Verlag, Cover: https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313534353336387C7C434F50.jpg?sq=3
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| Author Notes: | Roger Traub, Andreas Draguhn |
Table of Contents:
- Preface.- Introduction: how should one think about nervous systems?.- Basic properties of biological neurons and synapses.- Memory and classification in the brain and artificial systems.- Working memory.- Central Pattern Generators.- Reinforcement learning and a possible application (birdsong).- Complexities of cortex and the need for detailed models.- Gap junctions and very fast oscillations.- Synchronization through excitatory synapses: epilepsy but also conscious perception.- Oscillation synchronization, synaptic plasticity and cell assemblies.- Cortical delta rhythm, spike-wave epilepsy, and cognition.- Cortical up-states.- Sharp-wave/ripples - a special up-state?.- Some application to disease: epilepsy, gap junctions and plateau potentials.- Conclusions.- References.- Glossary.- Index.