This edited volume offers a new research agenda under the umbrella of Dynamic Neuroscience and presents some recent developments in this arena. As noted by the editors, this volume has two objectives:
To collect recent advances in statistic, signal processing, modeling, and control in linguistics dealing with complex situations resulting in complex data.
To incorporate innovative and/or transdisciplinary ideas in this research domain, including some issues in neural data analysis.
This refereed edited volume includes an array of interested topics including:
State space model
Likelihood and Bayesian inference
Variational and Monte Carlo methods
Compressed sensing
Deconvolution
System identification
EEG/MEG inverse problem
Statistical mechanics
The editors carefully divided the books in two sections based on the technical contents of the contribution. This edited volume contains 12 chapters emerging from a range of topics as stated above. Below is the list of the selected chapters.
Latent Variable Modeling of Neural Population Dynamics
Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems
Brain-Machine Interfaces
Control-Theoretic Approaches for Modeling, Analyzing, and Manipulating Neuronal (In)activity
From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach
Neural Engine Hypothesis
All the papers in this text are very well organized and are consistent in style and presentation. Each paper begins with an introduction and concludes with a list of references. I would recommend you read the Introduction chapter written by the editors for uniform reading of the book. The contributions of this book would be useful for researchers and professionals alike in an array of disciplines including, neural, electrical, and biomedical engineers, computational neuroscientists, applied statisticians, computer scientists, and clinical engineers.
Almost all the chapters are nicely structured and presented without requiring too much mathematical knowledge. In summary, this is a good contribution, providing a good coverage of selected topics in a logical and systematic manner.
Brock University, St. Catharines