This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP.
Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensorssuch as spike trains, local filed potentials and EEG.
The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.
| ISBN: | 9789811018213 |
| Publication date: | 7th September 2016 |
| Author: | Xiaoli Li |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 288 pages |
| Genres: |
Neurosciences Computational biology / bioinformatics Biomedical engineering |
This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists.
Signal Processing in Neuroscience features in the following genres: Neurosciences, Computational biology / bioinformatics, Biomedical engineering
Hardback. Not Available.
Signal Processing in Neuroscience was written by Xiaoli Li and published by Springer an imprint of Springer Nature Singapore
Signal Processing in Neuroscience has 288 pages