Signal Processing for Neuroscientists

• Author : Wim van Drongelen
• Publisher : Academic Press
• Release : 18 May 2018

Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics

• Author : Wim van Drongelen
• Publisher : Elsevier
• Release : 18 December 2006

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging

• Author : Wim van Drongelen
• Publisher : Unknown
• Release : 28 March 2023

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging

• Author : Wim van Drongelen
• Publisher : Elsevier
• Release : 26 August 2010

The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains

• Author : Karim G. Oweiss
• Publisher : Academic Press
• Release : 22 September 2010

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal

• Author : Xiaoli Li
• Publisher : Springer
• Release : 31 August 2016

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

• Author : James Bower,David Beeman
• Publisher : Springer
• Release : 14 August 2012

This book, and the tutorial simulations on which it is based, grew out of a simula tion laboratory accompanying the annual Methods in Computational Neuroscience course taught at the Marine Biology Laboratory, in Woods Hole, MA. These tutori als and early drafts of the book were further developed and refined while being used in courses taught at Caltech and several other institutions. We have designed the book to be a step-by-step tutorial for professionals, re searchers and students working in

• Author : Yoichi Ando
• Publisher : Academic Press
• Release : 22 May 2018

Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be considered when studying neural mechanisms of auditory processing in general, specifically in speech. Focuses on signal processing in human auditory-neuroscience Contains information that will be useful to researchers using a MEG/EEG recording of brain activity to study neural

• Author : Ramana Vinjamuri
• Publisher : BoD – Books on Demand
• Release : 09 September 2020

Neural signal processing is a specialized area of signal processing 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.

• Author : Zhe Chen,Sridevi V. Sarma
• Publisher : Springer
• Release : 27 December 2017

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in

• Author : Li Hu,Zhiguo Zhang
• Publisher : Springer Nature
• Release : 12 October 2019

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current

• Author : Zhe Chen,Simon Haykin,Jos J. Eggermont,Suzanna Becker
• Publisher : John Wiley & Sons
• Release : 07 January 2008

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case

• Author : Boualem Boashash
• Publisher : Academic Press
• Release : 11 December 2015

Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling

• Author : Nirode Mohanty
• Publisher : Springer
• Release : 28 March 1987

Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems. It is also used in many physical sciences, such as geophysics, acoustics, and meteorology, among many others. The common theme is to extract and estimate the desired signals, which are mixed with a variety of noise sources and disturbances. Signal processing involves system analysis, random processes, statistical inferences, and software and hardware implementation. The purpose of this book

• Author : Vincenzo Catrambone,Gaetano Valenza
• Publisher : Springer Nature
• Release : 09 September 2021

This monograph offers a cross-system exchange and cross-modality investigation into brain-heart interplay. Brain-Heart Interplay (BHI) is a highly interdisciplinary scientific topic, which spreads from the physiology of the Central/Autonomous Nervous Systems, especially Central Autonomic Network, to advanced signal processing and modeling for its activity quantification. Motivated by clinical evidence and supported by recent findings in neurophysiology, this monograph first explores the definition of basic Brain-Heart Interplay quantifiers, and then moves onto advanced methods for the assessment of health and