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Inverse chaotic resonance in Hodgkin–Huxley neuronal system
Inverse chaotic resonance is a phenomenon in which the neuronal mean firing rate exhibits a minimum with respect to the chaotic activity. In this...
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More is different in real-world multilayer networks
The constituents of many complex systems are characterized by non-trivial connectivity patterns and dynamical processes that are well captured by...
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Processed EEG as a Measure of Brain Activity During Anaesthesia
IntroductionMartínez-Vázquez, Pablo toGambús, Pedro L. depthWeber Jensen, Erik of anaesthesiaAnaesthesia monitoring, a crucial tool to guide...
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Blood-brain barrier permeability changes: nonlinear analysis of ECoG based on wavelet and machine learning approaches
The blood-brain barrier plays a decisive role in protecting the brain from toxins and pathogens. The ability to analyze the BBB opening (OBBB) is...
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Analysis of Interictal EEG Signal Correlations for Diagnostics of Epilepsy
AbstractPrinciples are described for diagnosing epilepsy on the basis of the Memory Function Formalism. Auto- and cross-correlations of...
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Evaluation of brain function during different types of breathing using FDG-PET compared with using BOLD-fMRI
Mouth breathing can occur due to obstructive, habitual, or anatomical factors, and it causes various side effects such as decreased blood oxygen...
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USC Brain and Creativity Institute
The University of Southern California was established in 1880 in downtown Los Angeles and is the oldest private university on the west coast. In...
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Machine learning for the diagnosis of early-stage diabetes using temporal glucose profiles
Machine learning shows remarkable success for recognizing patterns in data. Here, we apply machine learning (ML) for the diagnosis of early-stage...
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Elementary Neural Networks and Synchrony
All models discussed thus far were single cell models, but the brain has many cells that are coupled and exchange information. Connections of a few...
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Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain
AbstractWe consider the task of oscillatory pattern recognition on the fragments of electroencephalogram records obtained during motion and their...
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On-chip ionic current sensor
Neural implants that deliver drugs or electrical stimuli via microfluidic ports are promising in providing therapy for various disorders such as...
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Neurons and Near-Death Spikes
Near-death spikes or near-death surges represent sudden increase in neuron activity in the human brain before neurons end their firing. Just before a...
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Identification of Dynamic Patterns of Epileptic Seizures in Children by Nonlinear Mechanics Methods
AbstractRecurrence quantification analysis and multifractal analysis were used to study the encephalograms time series of the principal components of...
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Integrating ultra-wideband and free space optical communication for realizing a secure and high-throughput body area network architecture based on optical code division multiple access
Nodes in a body area network (BAN) are miniature wearable or implantable battery-powered wireless sensors which continuously transmit real-time vital...
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An approach to explore exotic hadronic states in \(^{24}\)Mg-Ag/Br interactions at 4.5 A GeV/c in framework of complex network analysis
The visibility graph (VG) and horizontal visibility graph (HVG) have been recently introduced as a map** between the time series and the complex...
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A model of artificial biological time series generation
This paper presents a novel model of artificial biological time series generation. We employed a cellular automata (CA) system that comprises...
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Human Enhancements: New Eyes and Ears for Mars
What are the realistic, feasible, and ethical body “modificationsModification” that could be made to astronauts in order to aid their performance and...
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Wavelet-Based Diagnostics of Paroxysmal Activity in EEG and Brain-Computer Interfaces for Epilepsy Control
This chapter considers basic problems of automatic diagnostics and processing of epileptic EEG. We discuss the wavelet-based techniques in order to...
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Computational EEG Analysis Methods and Applications
This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the...
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Fitness landscapes for coupled map lattices
Our goal is to match some dynamical aspects of biological systems with that of networks of coupled logistic maps. With these networks we generate...
