Contents

**Preface XI**


Chapter 1 **Introductory Chapter: Multilevel Representational Content in BCI Therapy - Extending Syntactic and Semantic Architectures 3** Denis Larrivee

### **Section 2 Classification and Precision in Assessing Dynamical States 13**



Preface

on an online-updated basis.

intentions but also to assist in their construction.

This book proves the need for BCI to adjust its therapeutic role to accommodate the distinct syntactic and semantic levels of dynamical coding architectures that characterize the more complex circumstances of motor cognition. In doing so, the book draws from up-to-date and forward looking imaging technologies, including advances in classification methods using artificial intelligence and feature element recognition, as well as a cross-fertilization from methodologically related technologies, novel frequency configurations, in situ and interfa‐ cial implanting technology, output driven therapy based on dynamical language architec‐ tures, perceptual imaging therapy based on form reconstruction, and neurorehabilitation

The book begins with a thematic chapter discussing the pertinence of the brain's operational dynamics for BCI and how this entails shifting the needs of syntax, semantics, and resulting in construction related to the performance demands of the body. Their impact on modifying the current BCI therapeutic model is then discussed. Subsequent chapters show how these novel aspects will require new analytical approaches that can respond to the motive and modular meaning of dynamical elements, now being developed in the classification technologies, and even more distant information and intelligence disciplines. In this vein, Chapter 2 discusses the use of deep learning intelligence schemes that can be applied to decompose wavelets, information bearing, deconstructed forms that promise improved data extraction over fourier analysis. Chapter 3 then takes the eclectic tack of improving classification parcellation by bor‐ rowing from technologies that detect false from real signal content in forgery detection.

A critical feature for BCI administered therapy is that, at deeper dynamical levels, the brain is not merely attempting to communicate completed imagery with defined semantic content, but is instead investing meaning to the perceptual form. This can be seen in BCI rehabilita‐ tion approaches that seek to elicit motor imagery in the attempt to repair central events, as presented in Chapter 4. Chapter 5 furthers this use of BCI beyond motor image generation to the processes involved in assembling the motor image. This entails the use of realistic sen‐ sorial feedback that generates an embodied sense, akin to what happens in normal cogni‐ tion, that is, through a recreation of the dynamical elements used to generate the form image

While the primary intent of any therapy is the restoration of the endogenous physiology, BCI therapy has frequently resorted to a replace and restore strategy, meaning the substitu‐ tion of normal performance with implant devices, a concession to the inherent difficulty in fully healing these nerve processes. In such instances, BCI will need to advance technology so as to interface with dynamical elements in order to not only convey formulated action

that links form imaging to cognitive and sensorial feedback.

Sakhrat Khizroev and Stanley Fricke
