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Learn to Synchronize, Synchronize to Learn [article]

Pietro Verzelli and Cesare Alippi and Lorenzo Livi
2021 arXiv   pre-print
In this work, we analyze the role played by Generalized Synchronization (GS) when training a RC to solve a generic task.  ...  We also discuss necessary and sufficient conditions for the learning to be feasible in this approach.  ...  PV would like to thank Andrea Ceni and Daniele Zambon for the insightful discussions about some mathematical details of this work.  ... 
arXiv:2010.02860v3 fatcat:62gmvogyajcoxgr572t7pt4bie

Learning to synchronize: midfrontal theta dynamics during reversal learning [article]

Pieter Verbeke, Kate Ergo, Esther De Loof, Tom Verguts
2020 bioRxiv   pre-print
learn to appropriately switch between those modules.  ...  However, how the brain mechanistically coordinates neural communication to implement such hierarchical learning, remains unknown.  ...  One way to address this issue is by adding second-level contextual features which 622 allow the LFC to (learn to) infer which of multiple task modules should be synchronized.  ... 
doi:10.1101/2020.06.01.127175 fatcat:d6ojgclzmzgzvgffynl75j4j3q

An introduction to synchronous self-learning Pareto strategy [article]

Ahmad Mozaffari, Alireza Fathi
2013 arXiv   pre-print
In this paper a novel method called Synchronous Self Learning Pareto Strategy Algorithm (SSLPSA) is presented which utilizes Evolutionary Computing (EC), Swarm Intelligence (SI) techniques and adaptive  ...  CSOM is a neural network capable of learning and can improve the quality of obtained optimal Pareto front.  ...  SYNCHRONOUS SELF LEARNING PARETO STRATEGY Synchronous Self Learning Pareto Strategy Algorithm (SSLPSA) is a hybrid Pareto based algorithm which possessed some computational controlling characteristics  ... 
arXiv:1312.4132v1 fatcat:5q7wxjb4zfdgdoytqh5kihw23u

Learning to predict synchronization of coupled oscillators on heterogeneous graphs [article]

Hardeep Bassi, Richard Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu
2022 arXiv   pre-print
In this work, we take a novel approach that we call "learning to predict synchronization" (L2PSync), by viewing it as a classification problem for sets of initial dynamics into two classes: 'synchronizing  ...  ' or 'non-synchronizing'.  ...  to predict synchronization" can be generalized to "learning to predict complex systems".  ... 
arXiv:2012.14048v2 fatcat:jtj6ac2x5ba7vmxg3gtowawojq

Synchronous learning for synchronous teaching: lessons learned from creating an online seminar to help physician educators develop best practices for synchronous online instruction

Anastasia Mortimore, Mara Hoffert, Maria S Kokas, Ellen L Air, Nicholas Yeldo, Odaliz Abreu Lanfranco, Karla Passalacqua
2021 MedEdPublish  
This Practical Tips article aims to be a working template for medical educators who would like to create a support course for physician educators in how to implement a high impact synchronous learning  ...  Therefore, graduate medical education instructional designers created a "pop-up" support seminar to outline and model best practices in conducting synchronous learning for physician educators.  ...  Loay Kabbani, Christie Morgan, and Taher Vohra for their contributions to the online presentations.  ... 
doi:10.15694/mep.2021.000085.1 fatcat:z2dngurgsnfhjjqgesamdqnbv4

Learning to Synchronously Imitate Gestures Using Entrainment Effect [chapter]

Eva Ansermin, Ghiles Mostafaoui, Nils Beaussé, Philippe Gaussier
2016 Lecture Notes in Computer Science  
In the light of its importance in interaction and wishing to define new HRI, we suggest to model this entrainment to highlight its efficiency for gesture learning during imitative games and for reducing  ...  Hence, we present in this paper a neural model for gesture learning by imitation using entrainment effect applied to a NAO robot interacting with a human partner.  ...  Nevertheless, a high value of cp can lead to an exaggerated entrainment which implies several synchronized oscillators (toward the fundamental frequency) leading to a synchronized behaviour but a less  ... 
doi:10.1007/978-3-319-43488-9_20 fatcat:bgv7zxwqkndt5cv7vxnagizdxa

Oscillations synchronize amygdala-to-prefrontal primate circuits during aversive learning [article]

Aryeh H. Taub, Rony Paz
2017 bioRxiv   pre-print
The results suggest that amygdala spikes aid to synchronize ACC activity and transfer error-signal information to support memory formation.  ...  The contribution of oscillatory synchrony in the primate amygdala-prefrontal pathway to aversive learning remains unknown.  ...  Acknowledgments We are grateful to Dr. Uri Livneh for experimental design and data collection. We thank Yossi Shohat for major contribution to the work and welfare of the animals; Dr.  ... 
doi:10.1101/184531 fatcat:yogstgu42baavojhp674y437mq

Synchronizing to the Environment: Information Theoretic Constraints on Agent Learning [article]

James P. Crutchfield, David P. Feldman
2001 arXiv   pre-print
We introduce natural measures of the environment's apparent memory and the amounts of information that must be (i) extracted from observations for an agent to synchronize to the environment and (ii) stored  ...  We show that the way in which the Shannon entropy of sequences produced by an information source converges to the source's entropy rate can be used to monitor how an intelligent agent builds and effectively  ...  order R of the Markov processmeasures how difficult it is to synchronize to an environment.  ... 
arXiv:nlin/0103038v1 fatcat:z3ce5e24rzaibp2cavsr7ogblq

A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization [article]

Raphael Abreu, Joel dos Santos, Eduardo Bezerra
2018 arXiv   pre-print
In this paper, we present a bimodal neural network architecture to assist the synchronization task in mulsemedia applications.  ...  Our learning architecture combines audio and video signals for the prediction of scene components. For evaluation purposes, we construct a dataset based on Google's AudioSet.  ...  ACKNOWLEDGMENT The authors would like to thank CNPq, CAPES, and FAPERJ for partially funding this research.  ... 
arXiv:1804.10822v1 fatcat:2v7nyusdynarxjadefffqzyode

How to Balance Synchronous and Asynchronous Teaching and Learning: a Local Study [chapter]

Olena Kuzminska, Nataliia Morze, Mariia Mazorchuk, Olha Barna, Viktoriia Dobriak
2021 E-learning  
the use of blended learning; accordingly, studying synchronous and asynchronous e-learning modes to support them.  ...  This article discusses the balance of synchronous and asynchronous teaching and learning models and examines the attitude of teachers and students at higher education institutions to the choice of a particular  ...  THE ATTITUDE OF TEACHING STAFF AND STUDENTS TO THE USE OF SYNCHRONOUS OR ASYNCHRONOUS LEARNING Research Design To study the attitude of teachers and students to the use of synchronous and/or asynchronous  ... 
doi:10.34916/el.2021.13.05 fatcat:keapqxkzjrhcvpffhevtrz7mjm

From theory use to theory building in learning analytics: A commentary on "Learning Analytics to Support Teachers during Synchronous CSCL"

Bodong Chen
2015 Journal of Learning Analytics  
Specifically, I caution against adhering to one specific theoretical doctrine while ignoring others, suggest deeper applications of cognitive load theory to understanding teaching with analytics tools,  ...  and comment on issues with theory building in the nascent field of learning analytics.  ...  THEORIES OF TEACHING AND LEARNING: REGULATION Learning analytics tools in Van Leeuwen (2015) attend to the issue of teacher regulation in synchronous CSCL processes.  ... 
doi:10.18608/jla.2015.22.12 fatcat:yg3ctmwjgva5nl4b255iaiez6y

Learning analytics to support teachers during synchronous CSCL: Balancing between overview and overload

Anouschka van Leeuwen
2015 Journal of Learning Analytics  
Lowering Information Load The first proposed mechanism was that LA tools can assist the teacher by lowering the information load imposed by the synchronous CSCL learning environment in which the teacher  ...  VCRI is used for synchronous collaboration. Figure 2 displays a screenshot of VCRI as it is used by students.  ... 
doi:10.18608/jla.2015.22.11 fatcat:jndwyycgcngmdjzmc44mflmydy

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize [article]

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
2021 arXiv   pre-print
Here, we present a single approach to both of these problems in the form of "KuraNet", a deep-learning-based system of coupled oscillators that can learn to synchronize across a distribution of disordered  ...  Our proposed learning-based approach is broadly applicable to arbitrary dynamical systems with wide-ranging relevance to modeling in physics and systems biology.  ...  can learn to synchronize ( Figure 1 ).  ... 
arXiv:2105.02838v1 fatcat:swmdq5ut7vav7pffgi3jxqwoo4

OLAP based Scaffolding to support Personalized Synchronous e-Learning

Souvik Sengupta
2012 International Journal of Managing Information Technology  
The advent of asynchronous web based learning systems has helped the learner in a self paced, personalized and flexible learning style.  ...  We have also proposed an overall architecture of the scaffolding where this information can be easily accessed and used by the instructor in the synchronous tutorial session to make the system more adaptive  ...  E-learning not only expands the scope of independent study and provides a variety of synchronous and asynchronous learning activities.They offer tools for students to engage in asynchronous learning via  ... 
doi:10.5121/ijmit.2012.4306 fatcat:uanytczlorev5abd7drsflo5u4

Here or There Instruction: Lessons Learned in Implementing Innovative Approaches to Blended Synchronous Learning

Janet Mannheimer Zydney, Paul McKimmy, Rachel Lindberg, Matthew Schmidt
2018 TechTrends  
best practices that are common to each, and share lessons learned along the way.  ...  Here or There (HOT) instruction is a blended synchronous approach that enables students from on-campus ("here") or a remote location ("there") to participate together in class activities in real time.  ...  The purpose of this article is to provide best practices and lessons learned from implementing a range of approaches to blended synchronous learning.  ... 
doi:10.1007/s11528-018-0344-z fatcat:3qhjeqrglbfatatk3vxfpri5wu
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