Preface
In September 2018, I was approached by IntechOpen to see if I was interested in
serving as editor for this project, Advances in Neural Signal Processing. Neural signal
processing is a specialized area of signal processing that is aimed at extracting
information or decoding intent from neural signals recorded from the central or
peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area
of brain–machine interfaces. This book presents recent advances in this flourishing
field of neural signal processing with demonstrative applications.
In this book, readers will find chapters on three major applications of neural signal
processing methodologies in basic science research and neuroprosthetic and clinical
applications. Basic science research includes modeling zinc dynamics in hippocampal mossy fiber synaptic cleft and information processing and synaptic transmission. Neuroprosthetic applications consist of decoding upper limb movements and
gait phase kinematics using electroencephalography. Clinical applications include
detection, prediction, and classification of seizures.
I would like to thank the authors for their valuable contributions, especially
my students from the Sensorimotor Control Laboratory at Stevens Institute of
Technology who contributed to the introductory chapter. I would also like to thank
IntechOpen staff especially Dajana Pemac, Romina Skomersic, and Andrea Koric
for their kind assistance throughout the editing process. Without their help, this
book would not have manifested. I am sure that interested readers will find this
volume informative and inspiring.
Ramana Vinjamuri
Assistant Professor,
Director of Sensorimotor Control Laboratory,
Department of Biomedical Engineering,
Stevens Institute of Technology,
New Jersey, USA
In September 2018, I was approached by IntechOpen to see if I was interested in
serving as editor for this project, Advances in Neural Signal Processing. Neural signal
processing is a specialized area of signal processing that is aimed at extracting
information or decoding intent from neural signals recorded from the central or
peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area
of brain–machine interfaces. This book presents recent advances in this flourishing
field of neural signal processing with demonstrative applications.
In this book, readers will find chapters on three major applications of neural signal
processing methodologies in basic science research and neuroprosthetic and clinical
applications. Basic science research includes modeling zinc dynamics in hippocampal mossy fiber synaptic cleft and information processing and synaptic transmission. Neuroprosthetic applications consist of decoding upper limb movements and
gait phase kinematics using electroencephalography. Clinical applications include
detection, prediction, and classification of seizures.
I would like to thank the authors for their valuable contributions, especially
my students from the Sensorimotor Control Laboratory at Stevens Institute of
Technology who contributed to the introductory chapter. I would also like to thank
IntechOpen staff especially Dajana Pemac, Romina Skomersic, and Andrea Koric
for their kind assistance throughout the editing process. Without their help, this
book would not have manifested. I am sure that interested readers will find this
volume informative and inspiring.
Ramana Vinjamuri
Assistant Professor,
Director of Sensorimotor Control Laboratory,
Department of Biomedical Engineering,
Stevens Institute of Technology,
New Jersey, USA