Artificial Neural Networks as Models of Neural Information Processing
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspect...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Frontiers Media SA
2018
|
| Series: | Frontiers Research Topics
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function. |
|---|---|
| Physical Description: | 1 electronic resource (220 p.) |
| ISBN: | 978-2-88945-401-3 9782889454013 |
| Access: | Open Access |