The Good, the Bad, or the Useful? The Examination of the Relationship between the Feedback-related Negativity (FRN) and Long-term Learning Outcomes

2013 ◽  
Vol 25 (8) ◽  
pp. 1249-1260 ◽  
Author(s):  
Yael Arbel ◽  
Kristen Goforth ◽  
Emanuel Donchin
Keyword(s):  
Reinforcement Learning ◽  
Learning Outcomes ◽  
Learning Task ◽  
Paired Associates ◽  
Error Related Negativity ◽  
Future Events ◽  
Spatio Temporal ◽  
The Relationship ◽  
Mesencephalic Dopamine

According to the reinforcement learning account of the error-related negativity (ERN), the ERN is a manifestation of a signal generated in ACC as a consequence of a phasic decrease in the activity of the mesencephalic dopamine system occurring when the monitoring system evaluates events as worse than expected. This signal is also hypothesized to be used to modify behavior to ascertain that future events will have better outcomes. It is therefore expected that this signal be correlated with learning outcomes. We report a study designed to examine the extent to which the ERN is related to learning outcomes within a paired-associates learning task. The feedback-related negativity (FRN) elicited by stimuli that indicated to the participants whether their response was correct or not was examined both according the degree to which the associates were learned in the session and according to whether participants recalled the associations on the next day. The results of the spatio-temporal PCA indicate that, whereas the process giving rise to the negative feedback elicited a FRN whose amplitude was not correlated with long-term learning outcomes, positive feedback was associated with a FRN-like activity, which was correlated with the learning outcomes. Another ERP component that follows the FRN temporally and shares its spatial distribution was found associated with long-term learning outcomes. Our findings shed light on the functional significance of the feedback-related ERP components and are discussed within the framework of the reinforcement learning ERN hypothesis.

Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling

2021 ◽  
Vol 12 (6) ◽  
pp. 1-23
Author(s):  
Shuo Tao ◽  
Jingang Jiang ◽  
Defu Lian ◽  
Kai Zheng ◽  
Enhong Chen
Keyword(s):  
Reinforcement Learning ◽  
Human Mobility ◽  
Recurrent Network ◽  
Mobility Prediction ◽  
Learning Framework ◽  
Temporal Features ◽  
Wide Range ◽  
Spatio Temporal ◽  
Historical Trajectory

Mobility prediction plays an important role in a wide range of location-based applications and services. However, there are three problems in the existing literature: (1) explicit high-order interactions of spatio-temporal features are not systemically modeled; (2) most existing algorithms place attention mechanisms on top of recurrent network, so they can not allow for full parallelism and are inferior to self-attention for capturing long-range dependence; (3) most literature does not make good use of long-term historical information and do not effectively model the long-term periodicity of users. To this end, we propose MoveNet and RLMoveNet. MoveNet is a self-attention-based sequential model, predicting each user’s next destination based on her most recent visits and historical trajectory. MoveNet first introduces a cross-based learning framework for modeling feature interactions. With self-attention on both the most recent visits and historical trajectory, MoveNet can use an attention mechanism to capture the user’s long-term regularity in a more efficient way. Based on MoveNet, to model long-term periodicity more effectively, we add the reinforcement learning layer and named RLMoveNet. RLMoveNet regards the human mobility prediction as a reinforcement learning problem, using the reinforcement learning layer as the regularization part to drive the model to pay attention to the behavior with periodic actions, which can help us make the algorithm more effective. We evaluate both of them with three real-world mobility datasets. MoveNet outperforms the state-of-the-art mobility predictor by around 10% in terms of accuracy, and simultaneously achieves faster convergence and over 4x training speedup. Moreover, RLMoveNet achieves higher prediction accuracy than MoveNet, which proves that modeling periodicity explicitly from the perspective of reinforcement learning is more effective.

scholarly journals Assessing the Spatial and Spatio-Temporal Distribution of Forest Species via Bayesian Hierarchical Modeling

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 573 ◽  
Author(s):  
Óscar Rodríguez de Rivera ◽  
Antonio López-Quílez ◽  
Marta Blangiardo
Keyword(s):  
Hierarchical Modeling ◽  
Temporal Distribution ◽  
Short Term ◽  
Distribution Models ◽  
Address Climate Change ◽  
Bayesian Hierarchical ◽  
Temporal Models ◽  
Spatio Temporal ◽  
The Relationship

Climatic change is expected to affect forest development in the short term, as well as the spatial distribution of species in the long term. Species distribution models are potentially useful tools for guiding species choices in reforestation and forest management prescriptions to address climate change. The aim of this study is to build spatial and spatio-temporal models to predict the distribution of four different species present in the Spanish Forest Inventory. We have compared the different models and showed how accounting for dependencies in space and time affect the relationship between species and environmental variables.

Song and infant-directed speech facilitate word learning

2019 ◽  
Vol 73 (7) ◽  
pp. 1036-1054
Author(s):  
Weiyi Ma ◽  
Anna Fiveash ◽  
Elizabeth Hellmuth Margulis ◽  
Douglas Behrend ◽  
William Forde Thompson
Keyword(s):  
Language Learning ◽  
Word Learning ◽  
Word Association ◽  
Learning Task ◽  
Learning Performance ◽  
Long Term Memory ◽  
Term Memory ◽  
English Speaking ◽  
The Relationship

Two separate lines of research have examined the influence of song and infant-directed speech (IDS—a speech register that includes some melodic features) on language learning, suggesting that the use of musical attributes in speech input can enhance language learning. However, the benefits of these two types of stimuli have never been directly compared. In this investigation, we compared the effects of song and IDS for immediate word learning and long-term memory of the learned words. This study examines whether the highly musical stimuli (i.e., song) would facilitate language learning more than the less musical stimuli (i.e., IDS). English-speaking adults were administered a word learning task, with Mandarin Chinese words presented in adult-directed speech (ADS), IDS, or song. Participants’ word learning performance was assessed immediately after the word learning task (immediate word learning) and then 1 day later (long-term memory). Results showed that both song and IDS facilitated immediate word learning and long-term memory of the words; however, this facilitative effect did not differ between IDS and song, suggesting that the relationship between the degree of musicality and language learning performance is not linear. In addition, song and IDS were found to facilitate the word association process (mapping a label to its referent) rather than the word recognition process. Finally, participants’ confidence in their answers might not differ among ADS, IDS, and sung words.

scholarly journals Long-Term GIS Analysis of Seaside Impacts Associated to Infrastructures and Urbanization and Spatial Correlation with Coastal Vulnerability in a Mediterranean Area

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1642 ◽  
Author(s):  
Salvador Garcia-Ayllon
Keyword(s):  
Mediterranean Area ◽  
Coastal Areas ◽  
Environmental Damage ◽  
Gis Analysis ◽  
Coastal Vulnerability ◽  
Gis Tools ◽  
Current Context ◽  
Spatio Temporal ◽  
The Relationship

The relationship between the impacts of coastal perimeter transformations derived from human activity and coastal vulnerability is not easy to assess. The impacts associated with coastal dynamics are phenomena that usually develop very extensively over a considerable time. These are transformations that cause significant environmental damage in vulnerable coastal areas, but whose results are very often not really visible until 10, 20, or even 40 years have elapsed. In addition, the analysis and quantification of the current context in complex territories is particularly difficult, since the spatial feedback of various issues and its consequences can generate an uncertain scenario with many interrelated variables. In this field, the use of GIS tools can be of great help to objectively analyze the relationship between coastal anthropization and its impact on its vulnerability in order to correct wrong inertias in vulnerable coastal areas. To this end, a long-term GIS analysis has been carried out of the impacts from urbanization and seaside infrastructures suffered by a complex Mediterranean coastal area in Spain. This territory, with singular elements such as dune ridges, beaches located in protected areas, and a coastal lagoon, will be evaluated using GIS spatio-temporal indicators over the last 90 years and geostatistical correlation methods. This approach will allow us to better understand the relationship between territorial transformations on the coast and the current coastal vulnerability of this area.

scholarly journals Working Memory: The What, the Why, and the How

2013 ◽  
Vol 30 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Tracy Packiam Alloway ◽  
Evan Copello
Keyword(s):  
Working Memory ◽  
Learning Outcomes ◽  
Short Term Memory ◽  
Memory Training ◽  
Long Term Memory ◽  
Term Memory ◽  
Reading And Math ◽  
Mother's Educational Level ◽  
The Relationship

Working memory, our ability to work with information, plays an important role in learning from kindergarten to the college years. In this article, we review the what, the why, and the how of working memory. First, we explore the relationship between working memory, short-term memory, and long-term memory. We also investigate research on the link between whether environmental factors, such as financial background and mother's educational level, affect working memory. In the next section — the why of working memory — we compare the predictive nature of working memory and IQ in learning outcomes. While IQ typically measures the knowledge acquired by the student, working memory measures what they do with that knowledge. Working memory skills are linked to key learning outcomes, including reading and math. In the final section, we present classroom strategies to support working memory. We also review current research on the efficacy of working memory training.

scholarly journals Pengembangan Modul Pembelajaran Matematika SMP Berbasis Budaya Jambi Untuk Siswa Autis

2019 ◽  
Vol 9 (1) ◽  
pp. 75-84
Author(s):  
Kamid Kamid ◽  
Yelli Ramalisa
Keyword(s):  
Learning Outcomes ◽  
Development Research ◽  
Cultural Products ◽  
The Past ◽  
The World ◽  
The Subject ◽  
The Relationship ◽  
Positive Effect ◽  
Expert Validation

Abstrak Matematika memiliki banyak nilai di dalamnya, namun dalam pembelajaran capaian yang diinginkan adalah penguasaan konsep materi bersifat teoritis yang belum menyentuh sisi kehidupan peserta didik. Media dan sarana belajar perlu mempertimbangkan lingkungan peserta didik serta kearifan lokal yang dapat mewarnai pembelajarannya. Penelitian ini bertujuan mengembangkan modul matematika dalam kerangka kajian budaya Jambi yang bermuatan budaya Jambi dan  nilai karakter dalam Matematika atau sebaliknya. Untuk jangka panjang, budaya jambi dapat dilestarikan dan dikembangkan melalui dunia pendidikan. Pengambilan data pada penelitian di bidang pendidikan matematika ini menggunakan  teknik data validasi ahli, observasi dan wawancara. Masing-masing teknik digunakan  sebagai triangulasi data yang dihasilkan dari subjek budayawan dan guru matematika serta pembelajaran di sekolah. Studi referensi digunakan menentukan data tentang nilai-nilai yang telah terjadi pada waktu lampau hingga kini. Observasi digunakan untuk menentukan data dari produk budaya di Jambi. Wawancara digunakan untuk memastikan data yang telah diperoleh dari dua teknik sebelumnya. Analisis data dilakukan untuk menentukan keterkaitan antara nilai-nilai dalam matematika dan nilai-nilai karakter dalam budaya Jambi atau sebaliknya. Hasil pengembangan berupa modul yang praktis dan dapat digunakan pada subjek autis. Disamping itu, modul juga memberikan efek yang positif pada motivasi belajar peserta didik karena muatan budaya yang digunakan konten yang menarik untuk dipelajari. Kata kunci: modul, siswa autis, budaya Jambi   Abstract Mathematics has many value ​​contained in it, however in the desired learning outcomes the mastery of the material concepts is still theoretical which has not touched the lives of students. Media and learning facilities need to consider the environment of students and local wisdom that can color part of their learning. This development research aims to develop modules for mathematical material within the framework of Jambi cultural studies. The desired achievement is the availability of modules that contain Jambi culture and character values ​​in Mathematics or vice versa. Furthermore, for the long term, Jambi culture can be preserved and developed through the world of education. Retrieval of data in research in the field of mathematics education uses data techniques expert validation, observation and interviews. Each technique is used as a triangulation of data generated from the subject of culture and the teacher of mathematics and learning in school. Reference studies are used to determine data about values ​​that have occurred in the past until now. Observation was used to determine data from cultural products in Jambi. Whereas interviews are used to ascertain data that has been obtained from the two previous techniques. Data analysis was performed to determine the relationship between values ​​in mathematics and character values ​​in Jambi culture or vice versa. The results of the development are practical modules and can be used on autistic subjects. Besides that, the module also has a positive effect on students' learning motivation because of the cultural content used by interesting content to learn. Keywords: module, autistic students, Jambi culture

scholarly journals The relationship between mothers’ altruism in the reinforcement learning task and their children’s empathy

2014 ◽  
Vol 19 (2) ◽  
pp. 117-136
Author(s):  
김은영 ◽  
유하나 ◽  
Hyun-joo Song ◽  
설선혜 ◽  
김학진
Keyword(s):  
Reinforcement Learning ◽  
Learning Task ◽  
The Relationship

scholarly journals Spatio-temporal associations between deforestation and malaria incidence in Lao PDR

2020 ◽  
Author(s):  
Francois Rerolle ◽  
Emily Dantzer ◽  
Andrew A. Lover ◽  
John M. Marshall ◽  
Bouasy Hongvanthong ◽  
...  
Keyword(s):  
Forest Cover ◽  
Malaria Incidence ◽  
Lao Pdr ◽  
Short Term ◽  
Modeling Framework ◽  
Temporal Modeling ◽  
Forested Areas ◽  
Spatio Temporal ◽  
The Relationship

AbstractAs countries in the Greater Mekong Sub-region (GMS) increasingly focus their malaria control and elimination efforts on forest-going populations, greater understanding of the relationship between deforestation and malaria incidence will be essential for programs to assess and meet their 2030 elimination goals. Leveraging village-level health facility surveillance data and forest cover data in a spatio-temporal modeling framework, we found evidence that deforestation is associated with short-term increases, but long-term decreases in confirmed malaria case incidence in Lao People’s Democratic Republic (Lao PDR). We identified strong associations with deforestation measured within 30 km of villages but not with deforestation in the near (10 km) and immediate (1 km) vicinity. Results appear driven by deforestation in densely forested areas and were more pronounced for infections with Plasmodium falciparum (P. falciparum) than for Plasmodium vivax (P. vivax). These findings highlight the influence of forest-going populations on malaria transmission in the GMS.

scholarly journals Spatio-temporal associations between deforestation and malaria incidence in Lao PDR

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Francois Rerolle ◽  
Emily Dantzer ◽  
Andrew A Lover ◽  
John M Marshall ◽  
Bouasy Hongvanthong ◽  
...  
Keyword(s):  
Forest Cover ◽  
Malaria Incidence ◽  
Lao Pdr ◽  
Short Term ◽  
Modeling Framework ◽  
Temporal Modeling ◽  
Forested Areas ◽  
Spatio Temporal ◽  
The Relationship

As countries in the Greater Mekong Sub-region (GMS) increasingly focus their malaria control and elimination efforts on reducing forest-related transmission, greater understanding of the relationship between deforestation and malaria incidence will be essential for programs to assess and meet their 2030 elimination goals. Leveraging village-level health facility surveillance data and forest cover data in a spatio-temporal modeling framework, we found evidence that deforestation is associated with short-term increases, but long-term decreases confirmed malaria case incidence in Lao People’s Democratic Republic (Lao PDR). We identified strong associations with deforestation measured within 30 km of villages but not with deforestation in the near (10 km) and immediate (1 km) vicinity. Results appear driven by deforestation in densely forested areas and were more pronounced for infections with Plasmodium falciparum (P. falciparum) than for Plasmodium vivax (P. vivax). These findings highlight the influence of forest activities on malaria transmission in the GMS.

Memory, Attention, and Inductive Learning

1999 ◽  
Vol 21 (1) ◽  
pp. 1-48 ◽  
Author(s):  
John N. Williams
Keyword(s):  
Learning Outcomes ◽  
Memory Performance ◽  
Inductive Learning ◽  
Memory Task ◽  
Long Term Memory ◽  
Continuous Measure ◽  
Functional Categories ◽  
Early Memory ◽  
The Relationship

Three experiments investigated the relationship between memory for input and inductive learning of morphological rules relating to functional categories in a semiartificial form of Italian. A verbatim memory task was used as both the vehicle for presenting sentences and as a continuous measure of memory performance. Experiments 2 and 3 introduced increasingly explicit manipulations of attention to form compared to Experiment 1. In all experiments there were strong relationships between individual differences in memory for input as measured early in the experiment and eventual learning outcomes, and in Experiments 2 and 3 learning form-form (but not form-function) rules was related to vocabulary learning efficiency (taken as a measure of phonological long-term memory ability). These relationships along with the lack of an effect of feedback in Experiment 3 suggest that subjects tended to adopt a data-driven, as opposed to conceptually driven, mode of learning. However, the fact that the introduction of highlighting and vocabulary pretraining in Experiment 2 had a large impact on learning without improving early memory is taken to suggest that knowledge of distributional rules does not simply emerge out of memory encodings of the relevant forms but depends upon the appropriate allocation of attention over relationships between input elements at the time of encoding.

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