EEG-Based Anticipation and Control of Seizures

2017 ◽  
Author(s):  
Stiliyan Kalitzin ◽  
Fernando Lopes da Silva
Keyword(s):  
Dynamic Systems ◽  
Internal Dynamic ◽  
Seizure Prediction ◽  
Dynamic Systems Theory ◽  
Seizure Onset ◽  
Brain Areas ◽  
Neuronal Populations ◽  
Dynamic Factors ◽  
And Control ◽  
Early Seizure

Early seizure-prediction paradigms were based on detecting electroencephalographic (EEG) features, but recent approaches are based on dynamic systems theory. Methods that attempted to detect predictive features during the preictal period proved difficult to validate in practice. Brain systems can display bistability (both normal and epileptic states can coexist), and the transitions between states may be initiated by external or internal dynamic factors. In the former case prediction is impossible, but in the latter case prediction is conceivable, leading to the hypothesis that as seizure onset approaches, the excitability of the underlying neuronal networks tends to increase. This assumption is being explored using not only the ongoing EEG but also active probes, applying appropriate stimuli to brain areas to estimate the excitability of the neuronal populations. Experimental results support this assumption, suggesting that it may be possible to develop paradigms to estimate the risk of an impending transition to an epileptic state.

scholarly journals The Impact of an Intensive English Reading Course Based on the Production-Oriented Approach on the L2 Motivational Self System Among Chinese University English Majors From a Dynamic Systems Theory Perspective

2022 ◽  
Vol 12 ◽  
Author(s):  
Chili Li ◽  
Chujia Zhou ◽  
Wen Zhang
Keyword(s):  
Dynamic Systems ◽  
Learning Experience ◽  
Dynamic Systems Theory ◽  
Intensive English ◽  
English Reading ◽  
Chinese University ◽  
L2 Motivational Self System ◽  
Ideal L2 Self ◽  
And Control ◽  
Oriented Approach

This article reports on a study that took a Dynamic Systems Theory (DST) perspective to second language (L2) motivational self system (L2MSS). More specifically, it investigated the influence of an Intensive English Reading course based on the Production-Oriented Approach (POA) upon the L2MSS of Chinese university English majorsfrom the DST perspective. To this end, two intact classes composed of 50 students were assigned into experimental group (EG) (N = 23) and control group (CG) (N = 27), who responded to an L2MSS scale before and after the one-semester intervention. Eight and five students were respectively selected using the purposive sampling method from the experimental and control groups for follow-up semi-structured interviews. The quantitative results revealed that the overall and dimensional (Ideal L2 Self and L2 Learning Experience) levels of L2MSS were significantly strengthened over time in the EG while kept stable in the CG. The qualitative results suggested that the enhanced Ideal L2 Self of the participants stemmed from an attractor basin that was deepened by a number of attractors encompassing Output Tasks and Peer Performance. The interview results also showed that the increased L2 Learning Experience of the participants pertained to an attractor basin that was consolidated by an array of attractors containing Output Tasks, Teacher Guidance, Group Discussion, and Peer Assessment. The findings indicated that the attractors at the subjective and social dimensions in the POA-based course collectively worked together to cause changes in L2MSS among the participants. The implications for intervening L2 motivation from a POA approach in English as a Foreign Language (EFL) classrooms were discussed.

Unprompted Alteration of Freely Chosen Movement Rate During Stereotyped Rhythmic Movement: Examples and Review

Motor Control ◽  
2021 ◽  
pp. 1-18
Author(s):  
Ernst Albin Hansen
Keyword(s):  
Dynamic Systems ◽  
Sensory Feedback ◽  
Rhythmic Movement ◽  
Finger Tapping ◽  
Dynamic Systems Theory ◽  
Rhythmic Movements ◽  
Movement Rate ◽  
Locomotion Speed ◽  
And Performance ◽  
And Control

Investigations of behavior and control of voluntary stereotyped rhythmic movement contribute to the enhancement of motor function and performance of disabled, sick, injured, healthy, and exercising humans. The present article presents examples of unprompted alteration of freely chosen movement rate during voluntary stereotyped rhythmic movements. The examples, in the form of both increases and decreases of movement rate, are taken from activities of cycling, finger tapping, and locomotion. It is described that, for example, strength training, changed power output, repeated bouts, and changed locomotion speed can elicit an unprompted alteration of freely chosen movement rate. The discussion of the examples is based on a tripartite interplay between descending drive, rhythm-generating spinal neural networks, and sensory feedback, as well as terminology from dynamic systems theory.

Improving Feeding Outcomes in the NICU: Moving From Volume-Driven to Infant-Driven Feeding

2010 ◽  
Vol 19 (3) ◽  
pp. 68-74 ◽  
Author(s):  
Catherine S. Shaker
Keyword(s):  
Intensive Care Unit ◽  
Dynamic Systems ◽  
Neonatal Intensive Care ◽  
Well Being ◽  
Dynamic Systems Theory ◽  
Feeding Problems ◽  
Care Giving ◽  
Extremely Preterm ◽  
Extremely Preterm Infants

Current research on feeding outcomes after discharge from the neonatal intensive care unit (NICU) suggests a need to critically look at the early underpinnings of persistent feeding problems in extremely preterm infants. Concepts of dynamic systems theory and sensitive care-giving are used to describe the specialized needs of this fragile population related to the emergence of safe and successful feeding and swallowing. Focusing on the infant as a co-regulatory partner and embracing a framework of an infant-driven, versus volume-driven, feeding approach are highlighted as best supporting the preterm infant's developmental strivings and long-term well-being.

A Benchmarked Experiential System for Training (BEST) and dynamic systems theory

2006 ◽  
Author(s):  
Wayne Shebilske ◽  
Kevin Gildea ◽  
Jared Freeman ◽  
Georgiy Levchuk
Keyword(s):  
Systems Theory ◽  
Dynamic Systems ◽  
Dynamic Systems Theory ◽  
Experiential System

Control Theory, Dynamics, and Continuous Interaction

2018 ◽  
Author(s):  
Roderick Murray-Smith
Keyword(s):  
Control Theory ◽  
Human Computer Interaction ◽  
Systems Theory ◽  
Dynamic Systems ◽  
Trajectory Generation ◽  
Interaction Techniques ◽  
Dynamic Systems Theory ◽  
Classical Work ◽  
Continuous Interaction

This chapter reviews the role of theory and dynamic systems theory for understanding common interaction techniques including: targetting, trajectory generation, panning, scrolling and zooming. It explains how can be seen to be at the foundations of Human–Computer Interaction and might be essential for making progress in novel forms of interface. It reinterprets Fitts’ classical work with theoretic tools. It also highlights the limitations of theory for design of human–computer loops.

scholarly journals Variability as normal as apple pie

2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Marjolijn Verspoor ◽  
Wander Lowie ◽  
Kees de Bot
Keyword(s):  
Dynamic Systems ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Controlled Processes ◽  
Complex Dynamic Systems ◽  
L2 Development ◽  
Limited Degree ◽  
Development Phases ◽  
Longitudinal Case Studies ◽  
Over Time

Abstract In recent studies in second language (L2) development, notably within the focus of Complex Dynamic Systems Theory (CDST), non-systematic variation has been extensively studied as intra-individual variation, which we will refer to as variability. This paper argues that variability is functional and is needed for development. With examples of four longitudinal case studies we hope to show that variability over time provides valuable information about the process of development. Phases of increased variability in linguistic constructions are often a sign that the learner is trying out different constructions, and as such variability can be evidence for change, and change can be learning. Also, a limited degree of variability is inherent in automatic or controlled processes. Conversely, the absence of variability is likely to show that no learning is going on or the system is frozen.

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