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Journal articles on the topic 'Representations from'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Zahriah, Zahriah, Mujibul Rijal, and Fera Annisa. "An Analysis of Students' Ability to Solve Problems Related to Newton's Law of Gravitation from a Multirepresentational Perspective." Journal of Aceh Physics Society 14, no. 1 (2025): 23–32. https://doi.org/10.24815/jacps.v14i1.44449.

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Students' skills in solving physics problems with a correct and in-depth understanding of concepts are skills that they should have in facing life in the 21st Century. One way to identify students who can solve problems is by looking at their ability to represent physics problems in suitable formats. different things which are called multiple representations. This research aims to analyze students' abilities in solving physics problems based on multi-representational aspects, in this case, what is looked at are aspects of verbal, visual, symbolic, and mathematical representation. The data coll

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Liu, Jing, Hui Zhang, Tao Yu, et al. "Stable maintenance of multiple representational formats in human visual short-term memory." Proceedings of the National Academy of Sciences 117, no. 51 (2020): 32329–39. http://dx.doi.org/10.1073/pnas.2006752117.

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Visual short-term memory (VSTM) enables humans to form a stable and coherent representation of the external world. However, the nature and temporal dynamics of the neural representations in VSTM that support this stability are barely understood. Here we combined human intracranial electroencephalography (iEEG) recordings with analyses using deep neural networks and semantic models to probe the representational format and temporal dynamics of information in VSTM. We found clear evidence that VSTM maintenance occurred in two distinct representational formats which originated from different encod

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Falter, Christine M., Valdas Noreika, Julian Kiverstein, and Bruno Mölder. "Concrete magnitudes: From numbers to time." Behavioral and Brain Sciences 32, no. 3-4 (2009): 335–36. http://dx.doi.org/10.1017/s0140525x09990045.

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AbstractCohen Kadosh & Walsh (CK&W) present convincing evidence indicating the existence of notation-specific numerical representations in parietal cortex. We suggest that the same conclusions can be drawn for a particular type of numerical representation: the representation of time. Notation-dependent representations need not be limited to number but may also be extended to other magnitude-related contents processed in parietal cortex (Walsh 2003).

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Haghir Chehreghani, Morteza, and Mostafa Haghir Chehreghani. "Learning representations from dendrograms." Machine Learning 109, no. 9-10 (2020): 1779–802. http://dx.doi.org/10.1007/s10994-020-05895-3.

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Abstract We propose unsupervised representation learning and feature extraction from dendrograms. The commonly used Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that. Therefore, we extend this method to arbitrary dendrograms. We develop a generalized framework wherein different distance measures and representations can be inferred from different types of dendrograms, level functions and distance functions. Via an appropriate embedding, we compute a vector-based represen

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Fortes, Fabrício Pires. "A Distinção Gráfico-Linguístico e a Notação Musical." Philosophy of Music 74, no. 4 (2018): 1465–92. http://dx.doi.org/10.17990/rpf/2018_74_4_1465.

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This paper examines the traditional musical notation from the viewpoint of the general problem concerning the types of visual representations. More specifically, we analyze this system in relation to the distinction between graphical and linguistic representations. We start by comparing this notation with the representational systems which are most commonly associated with such categories: on the one hand, pictorial representations as an example of a graphical representation; on the other hand, verbal writing usually associated with a linguistic representation. Then, we examine the traditional

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Csaszar, Felipe A., and James Ostler. "A Contingency Theory of Representational Complexity in Organizations." Organization Science 31, no. 5 (2020): 1198–219. http://dx.doi.org/10.1287/orsc.2019.1346.

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A long-standing question in the organizations literature is whether firms are better off by using simple or complex representations of their task environment. We address this question by developing a formal model of how firm performance depends on the process by which firms learn and use representations. Building on ideas from cognitive science, our model conceptualizes this process in terms of how firms construct a representation of the environment and then use that representation when making decisions. Our model identifies the optimal level of representational complexity as a function of (a)

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Sun, Jingyuan, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. "Towards Sentence-Level Brain Decoding with Distributed Representations." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7047–54. http://dx.doi.org/10.1609/aaai.v33i01.33017047.

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Decoding human brain activities based on linguistic representations has been actively studied in recent years. However, most previous studies exclusively focus on word-level representations, and little is learned about decoding whole sentences from brain activation patterns. This work is our effort to mend the gap. In this paper, we build decoders to associate brain activities with sentence stimulus via distributed representations, the currently dominant sentence representation approach in natural language processing (NLP). We carry out a systematic evaluation, covering both widely-used baseli

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Ibarra, Andoni, and Thomas Mormann. "Una teoría combinatoria de las representaciones científicas." Crítica (México D. F. En línea) 32, no. 95 (2000): 3–46. http://dx.doi.org/10.22201/iifs.18704905e.2000.874.

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The aim of this paper is to introduce a new concept of scientific representation into philosophy of science. The new concept -to be called homological or functorial representation- is a genuine generalization of the received notion of representation as a structure preserving map as it is used, for example, in the representational theory of measurement. It may be traced back, at least implicitly, to the works of Hertz and Duhem. A modern elaboration may be found in the foundational discipline of mathematical category theory. In contrast to the familiar concepts of representations, functorial re

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Gallegos-Cázares, Leticia, Fernando Flores-Camacho, and Elena Calderón-Canales. "Preschool Children’s Reasoning about Sound from an Inferential-Representational Approach." Education Sciences 11, no. 4 (2021): 180. http://dx.doi.org/10.3390/educsci11040180.

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The purpose of this article is to present an analysis to identify the reasoning processes and representations that preschool students develop about sound based on the inferential-representational approach. Participants were 18 preschool students between the ages of four and five attending three rural schools located in the Sierra Norte of Puebla, Mexico. Data were obtained through a 14 question semi-structured interview. From children’s answers to the formulated questions, an inferential analysis method was applied to identify intentionality, representation elements, sign-material expressions,

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Ferreira, João Elias Vidueira, and Gwendolyn Angela Lawrie. "Profiling the combinations of multiple representations used in large-class teaching: pathways to inclusive practices." Chemistry Education Research and Practice 20, no. 4 (2019): 902–23. http://dx.doi.org/10.1039/c9rp00001a.

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Teachers select multiple representations and adopt multiple visualization approaches in supporting their students to make meaning of chemical phenomena. Representational competence underpins students’ construction of their mental models of concepts thus it is important that teachers consider this while developing instructional resources. In tertiary chemistry, teachers typically use PowerPoint slides to guide lectures. This instructional resource is transferred between different teachers each semester and, while the sequence of topics are likely to be discussed and agreed upon, the content of

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Nasrun, Rully Charitas Indra Prahmana, and Irwan Akib. "The Students’ Representative Processes in Solving Mathematical Word Problems." Knowledge 3, no. 1 (2023): 70–79. http://dx.doi.org/10.3390/knowledge3010006.

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Representation in mathematics is essential as a basis for students to be able to understand and apply mathematical ideas. This study aims to describe how students produce different representations in solving word problems. In solving word problems, students make verbal–written representations, image representations, and symbol representations. This research uses a qualitative descriptive study involving 75 fifth-grade students at one of the private schools in Makassar, Indonesia. Setting and Participants: two subjects were chosen from 75 participants based on the completion of word problems th

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Suárez, Luis Alfonso de la Fuente. "TOWARDS EXPERIENTIAL REPRESENTATION IN ARCHITECTURE." Journal of Architecture and Urbanism 40, no. 1 (2016): 47–58. http://dx.doi.org/10.3846/20297955.2016.1163243.

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Planning and predicting the experiences that buildings will produce is an essential part of architectural design. The importance of representation lies in its ability to communicate experiences before a building is materialized. This article will treat the topic of representation of architecture works without putting aside our direct experience with edifices. By understanding the perceptual, associative and interactive phenomena that arise from the human encounter with buildings, it becomes possible to comprehend the representation of these phenomena through pictorial means. The first objectiv

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Ruliani, Iva Desi, Nizaruddin Nizaruddin, and Yanuar Hery Murtianto. "Profile Analysis of Mathematical Problem Solving Abilities with Krulik & Rudnick Stages Judging from Medium Visual Representation." JIPM (Jurnal Ilmiah Pendidikan Matematika) 7, no. 1 (2018): 22. http://dx.doi.org/10.25273/jipm.v7i1.2123.

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The ability to solve mathematical problems is very important in learning math and everyday life. According to Krulik &amp; Rudnick there are 5 stages of problem solving that is Read, Explore, Select A Strategy, Solve And Look Back. Mathematical problems require multiple representational skills to communicate problems, one of which is visual representation. Trigonometry is one of the materials that uses visual representation. This research is a qualitative descriptive research that aims to describe the ability of problem solving mathematics with Krulik &amp; Rudnick stages in terms of v

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Nurrahmawati, Nurrahmawati, Cholis Sa'dijah, Sudirman Sudirman, and Makbul Muksar. "Assessing students’ errors in mathematical translation: From symbolic to verbal and graphic representations." International Journal of Evaluation and Research in Education (IJERE) 10, no. 1 (2021): 115. http://dx.doi.org/10.11591/ijere.v10i1.20819.

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Translation skills are very important possessed by students, but currently, there are still many students who have difficulty in translating between representations. The purpose of this study is to analyze students' errors in translating from symbolic representations to verbal and graphic representations. This research was descriptive study with qualitative approach. Tests are given to junior high school students. From the results of data analysis, it is obtained that in translating from symbolic to verbal forms (problems in daily life) that are following the given system of equations, student

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Nurrahmawati, Sa'dijah Cholis, Sudirman, and Muksar Makbul. "Assessing students' errors in mathematical translation: From symbolic to verbal and graphic representations." International Journal of Evaluation and Research in Education (IJERE) 10, no. 1 (2021): 115–25. https://doi.org/10.11591/ijere.v10i1.20819.

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Translation skills are very important possessed by students, but currently, there are still many students who have difficulty in translating between representations. The purpose of this study is to analyze students' errors in translating from symbolic representations to verbal and graphic representations. This research was descriptive study with qualitative approach. Tests are given to junior high school students. From the results of data analysis, it is obtained that in translating from symbolic to verbal forms (problems in daily life) that are following the given system of equations, stu

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Coiera, Enrico. "The qualitative representation of physical systems." Knowledge Engineering Review 7, no. 1 (1992): 55–77. http://dx.doi.org/10.1017/s0269888900006159.

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AbstractThe representation of physical systems using qualitative formalisms is examined in this review, with an emphasis on recent developments in the area. The push to develop reasoning systems incorporating deep knowledge originally focused on naive physical representations, but has now shifted to more formal ones based on qualitative mathematics. The qualitative differential constraint formalism used in systems like QSIM is examined, and current efforts to link this to competing representations like Qualitative Process Theory are noted. Inference and representation are intertwined, and the

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Konidaris, George, Leslie Pack Kaelbling, and Tomas Lozano-Perez. "From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning." Journal of Artificial Intelligence Research 61 (January 31, 2018): 215–89. http://dx.doi.org/10.1613/jair.5575.

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We consider the problem of constructing abstract representations for planning in high-dimensional, continuous environments. We assume an agent equipped with a collection of high-level actions, and construct representations provably capable of evaluating plans composed of sequences of those actions. We first consider the deterministic planning case, and show that the relevant computation involves set operations performed over sets of states. We define the specific collection of sets that is necessary and sufficient for planning, and use them to construct a grounded abstract symbolic representat

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Rider, Robin. "Shifting from Traditional to Nontraditional Teaching Practices Using Multiple Representations." Mathematics Teacher 100, no. 7 (2007): 494–500. http://dx.doi.org/10.5951/mt.100.7.0494.

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Algebraic reasoning skills can be enhanced by building connections among symbolic, tabular, and graphical representations. But how do classroom teachers change traditional teaching practices to foster the use of different representational forms? This article explores how I learned to incorporate representational fluency in teaching and assessment. It builds on ideas from classroom practice and advocates making small changes in teaching practices to foster connections between representations.

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Rider, Robin. "Shifting from Traditional to Nontraditional Teaching Practices Using Multiple Representations." Mathematics Teacher 100, no. 7 (2007): 494–500. http://dx.doi.org/10.5951/mt.100.7.0494.

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Algebraic reasoning skills can be enhanced by building connections among symbolic, tabular, and graphical representations. But how do classroom teachers change traditional teaching practices to foster the use of different representational forms? This article explores how I learned to incorporate representational fluency in teaching and assessment. It builds on ideas from classroom practice and advocates making small changes in teaching practices to foster connections between representations.

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Kumar, Sajit, Alicia Nanelia, Ragunathan Mariappan, Adithya Rajagopal, and Vaibhav Rajan. "Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study." JMIR Medical Informatics 10, no. 1 (2022): e28842. http://dx.doi.org/10.2196/28842.

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Background Patient representation learning aims to learn features, also called representations, from input sources automatically, often in an unsupervised manner, for use in predictive models. This obviates the need for cumbersome, time- and resource-intensive manual feature engineering, especially from unstructured data such as text, images, or graphs. Most previous techniques have used neural network–based autoencoders to learn patient representations, primarily from clinical notes in electronic medical records (EMRs). Knowledge graphs (KGs), with clinical entities as nodes and their relatio

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Druivenga, Nathan, Charles Frohman, and Sanjay Kumar. "Tangle functors from semicyclic representations." Journal of Knot Theory and Its Ramifications 26, no. 11 (2017): 1750065. http://dx.doi.org/10.1142/s0218216517500651.

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Let [Formula: see text] be a [Formula: see text]th root of unity where [Formula: see text] is odd. Let [Formula: see text] denote the quantum group with large center corresponding to the Lie algebra [Formula: see text] with generators [Formula: see text], and [Formula: see text]. A semicyclic representation of [Formula: see text] is an [Formula: see text]-dimensional irreducible representation [Formula: see text], so that [Formula: see text] with [Formula: see text], [Formula: see text] and [Formula: see text]. We construct a tangle functor for framed homogeneous tangles colored with semicycli

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DEGUCHI, TETSUO, and YASUHIRO AKUTSU. "COLORED BRAID MATRICES FROM INFINITE-DIMENSIONAL REPRESENTATIONS OF Uq(g)." Modern Physics Letters A 07, no. 09 (1992): 767–79. http://dx.doi.org/10.1142/s0217732392000744.

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From a new infinite-dimensional representation of the universal R-matrix of [Formula: see text], we derive the colored braid matrices which gave generalizations of the multivariable Alexander polynomial. We propose color representations of Uq(g). We construct colored vertex models from the color representations of [Formula: see text].

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Wachelke, Joao. "Social Representations: A Review of Theory and Research from the Structural Approach." Universitas Psychologica 11, no. 3 (2011): 742. http://dx.doi.org/10.11144/javeriana.upsy11-3.srrt.

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The present paper is a review of the theoretical advances and empirical findings related to social representations according to the structural approach, a research stream that aims at studying the influence of social factors in thinking processes through the identification and characterization of relationship structures. The presentation of the approach begins with the baseline definitions of social representations according to a structural approach, moving on to an overview on the nature of representation elements, the relationships between representations and practices, cognitive scheme dime

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Stankevičius, Lukas, and Mantas Lukoševičius. "Extracting Sentence Embeddings from Pretrained Transformer Models." Applied Sciences 14, no. 19 (2024): 8887. http://dx.doi.org/10.3390/app14198887.

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Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These sentence-level embeddings are also important in retrieval-augmented generation. But do commonly used plain averaging or prompt templates sufficiently capture and represent the underlying meaning? After providing a comprehensive review of existing sentence embedding extraction and refinement methods, we thoroughly test different combinations and our original extensions of the most promising ones on pretrained models. Na

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Graulich, Nicole, Sebastian Hedtrich, and René Harzenetter. "Explicit versus implicit similarity – exploring relational conceptual understanding in organic chemistry." Chemistry Education Research and Practice 20, no. 4 (2019): 924–36. http://dx.doi.org/10.1039/c9rp00054b.

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Learning to interpret organic structures not as an arrangement of lines and letters but, rather, as a representation of chemical entities is a challenge in organic chemistry. To successfully deal with the variety of molecules or mechanistic representations, a learner needs to understand how a representation depicts domain-specific information. Various studies that focused on representational competence have already investigated how learners relate a representation to its corresponding concept. However, aside from a basic connectional representational understanding, the ability to infer a compa

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Jenkins, W. M., M. M. Merzenich, M. T. Ochs, T. Allard, and E. Guic-Robles. "Functional reorganization of primary somatosensory cortex in adult owl monkeys after behaviorally controlled tactile stimulation." Journal of Neurophysiology 63, no. 1 (1990): 82–104. http://dx.doi.org/10.1152/jn.1990.63.1.82.

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1. Multiple microelectrode maps of the hand representation within and across the borders of cortical area 3b were obtained before, immediately after, or several weeks after a period of behaviorally controlled hand use. Owl monkeys were conditioned in a task that produced cutaneous stimulation of a limited sector of skin on the distal phalanges of one or more fingers. 2. Analysis of microelectrode mapping experiment data revealed that 1) stimulated skin surfaces were represented over expanded cortical areas. 2) Most of the cutaneous receptive fields recorded within these expanded cortical repre

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Ilmiyatni, Fatynia, Marina Setyarini, and Dewi Lengkana. "The Potential of Android Learning Media Based on Visual Representation to Improve Students' Representation and Systems Thinking Skills: A Review From a Student Teacher's Perspective." International Journal of Education, Culture, and Society 3, no. 3 (2025): 618–35. https://doi.org/10.58578/ijecs.v3i3.6123.

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Despite growing recognition of the importance of representation and systems thinking skills in science education, limited research has explored the use of Android-based learning media grounded in visual representations to support these competencies. This study aims to characterize Android learning media designed with visual representations and examine perceptions of its effectiveness in enhancing students’ representational and systems thinking skills. Employing an explanatory sequential mixed-methods design, the research involved 44 science teachers and 244 junior high school students across L

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CRANE, LOUIS. "STRING FIELD THEORY FROM QUANTUM GRAVITY." Reviews in Mathematical Physics 25, no. 10 (2013): 1343005. http://dx.doi.org/10.1142/s0129055x13430058.

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Recent work on neutrino oscillations suggests that the three generations of fermions in the standard model are related by representations of the finite group A(4), the group of symmetries of the tetrahedron. Motivated by this, we explore models which extend the EPRL model for quantum gravity by coupling it to a bosonic quantum field of representations of A(4). This coupling is possible because the representation category of A(4) is a module category over the representation categories used to construct the EPRL model. The vertex operators which interchange vacua in the resulting quantum field t

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M. Nyachwaya, James, and Merry Gillaspie. "Features of representations in general chemistry textbooks: a peek through the lens of the cognitive load theory." Chemistry Education Research and Practice 17, no. 1 (2016): 58–71. http://dx.doi.org/10.1039/c5rp00140d.

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The goals of this study were (1) determine the prevalence of various features of representations in five general chemistry textbooks used in the United States, and (2) use cognitive load theory to draw implications of the various features of analyzed representations. We adapted the Graphical Analysis Protocol (GAP) (Sloughet al., 2010) to look at the type of representations used, the function of each representation, the physical integration of representations with associated text, the presence and nature of captions and labels, the indexing of representations, and the number of representations

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Aitken, Kyle, Marina Garrett, Shawn Olsen, and Stefan Mihalas. "The geometry of representational drift in natural and artificial neural networks." PLOS Computational Biology 18, no. 11 (2022): e1010716. http://dx.doi.org/10.1371/journal.pcbi.1010716.

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Neurons in sensory areas encode/represent stimuli. Surprisingly, recent studies have suggested that, even during persistent performance, these representations are not stable and change over the course of days and weeks. We examine stimulus representations from fluorescence recordings across hundreds of neurons in the visual cortex using in vivo two-photon calcium imaging and we corroborate previous studies finding that such representations change as experimental trials are repeated across days. This phenomenon has been termed “representational drift”. In this study we geometrically characteriz

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Fieschi, M., G. Chatellier, and P. Degoulet. "Decision Support Systems from the Standpoint of Knowledge Representation." Methods of Information in Medicine 34, no. 01/02 (1995): 202–8. http://dx.doi.org/10.1055/s-0038-1634575.

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Abstract:Relationships between decision-support systems and knowledge representation are examined from three different points of view: the characteristics of medical decisions that might influence the selection of appropriate knowledge representations, – the extent to which different knowledge representations can support efficient medical decisions and, – the validation of knowledge hypotheses through the practice of decision support systems. A three-level model of knowledge representation is proposed that includes a contextual, a conceptual and a computational level. Taking into consideration

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Kawabata, Ryo, Yuki Ishikawa, Kenji Masuda, and Kiyoshi Itoh. "THE INTEGRATED ENVIRONMENT FOR SUPPORTING COLLABORATIVE ANALYSIS." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 12, no. 2 (2008): 11–26. http://dx.doi.org/10.3233/jid-2008-12203.

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In systems analysis, the target system is analyzed by collaboration between two or more analysts. Systems development is performed by analyzing the target system from various viewpoints. From each viewpoint, corresponding chart representation which is suitable for the viewpoint is described. The chart representation is not described from scratch, but it is described by using knowledge included in the other chart representations that are already described. There are two types of collaborations in describing chart representations. The one type is that plural analysts describe the one chart repre

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Hammerschmid, Martin, Daniel Cenk Rosenfeld, Alexander Bartik, Florian Benedikt, Josef Fuchs, and Stefan Müller. "Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review." Energies 16, no. 6 (2023): 2641. http://dx.doi.org/10.3390/en16062641.

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Digital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in different industries, this review paper focuses on developing a novel virtual representation framework for the process development environment within the energy sector. The proposed methodology enables the continuous evolution of virtual representations along the process development lifecycle. A novel de

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Bücking, Sebastian. ""Painting cows" from a type-logical perspective." ZAS Papers in Linguistics 60 (January 1, 2018): 277–94. http://dx.doi.org/10.21248/zaspil.60.2018.467.

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Depiction verbs such as paint license i(mage)- and p(ortrait)-readings; for instance,Ben painted a cow can convey that Ben produced an image of an unspecific cow or a portrait ofa specific cow. This paper takes issue with a property-based intensional analysis of depictionverbs (Zimmermann, 2006b, 2016) and instead argues for an extensional account. Accordingly,the i-reading is rooted in the introduction of worldly representations by the explicit noun cowas such, whereas the p-reading is rooted in the interpolation of an implicit representation viacoercion. This take on the ambiguity captures t

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Nizaruddin, Nizaruddin, Muhtarom Muhtarom, and Yanuar Hery Murtianto. "EXPLORING OF MULTI MATHEMATICAL REPRESENTATION CAPABILITY IN PROBLEM SOLVING ON SENIOR HIGH SCHOOL STUDENTS." Problems of Education in the 21st Century 75, no. 6 (2017): 591–98. http://dx.doi.org/10.33225/pec/17.75.591.

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The students’ multi-mathematical representation capability in problem solving is very important and interesting to discuss, specifically for problems in the two-variable linear equation system. Data was collected from 48 students using written tests and in-depth interviews with selected participants. The research findings showed that few students are using three representations namely symbolic - verbal - table representation, and symbolic representation, however most of the students are using three representations namely symbolic - verbal - images representation, and two representations namely

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Nizaruddin, Nizaruddin, Muhtarom Muhtarom, and Yanuar Hery Murtianto. "EXPLORING OF MULTI MATHEMATICAL REPRESENTATION CAPABILITY IN PROBLEM SOLVING ON SENIOR HIGH SCHOOL STUDENTS." Problems of Education in the 21st Century 75, no. 6 (2017): 591–98. http://dx.doi.org/10.33225/17.75.591.

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The students’ multi-mathematical representation capability in problem solving is very important and interesting to discuss, specifically for problems in the two-variable linear equation system. Data was collected from 48 students using written tests and in-depth interviews with selected participants. The research findings showed that few students are using three representations namely symbolic - verbal - table representation, and symbolic representation, however most of the students are using three representations namely symbolic - verbal - images representation, and two representations namely

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Moriya, Jun. "Mental Representations and Facial Impressions of Muslim Men in Japan From 2015 to 2017." SAGE Open 11, no. 1 (2021): 215824402199782. http://dx.doi.org/10.1177/2158244021997821.

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There is prejudice against Muslims in many nations, including Japan. This prejudice would be related to biased mental representations of Muslim faces. Moreover, in 2015, the increased news coverage linking Muslims to terrorism in Japan would have enhanced such negative mental representations. In the present study, Japanese participants were asked to imagine Muslim men, and from two faces with a random noise pattern added, participants were instructed to choose the face they imagined to be more Muslim. Typical Muslim facial representations were visualized in 2015, 2016, and 2017 by averaging al

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Schwartz, Geoffrey. "Refining representations for L2 phonology." Second Language Research 36, no. 4 (2019): 691–707. http://dx.doi.org/10.1177/0267658319852383.

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This article discusses the implications of phonological representation for the study of L2 speech acquisition. It is argued, on the basis of empirical findings from diverse phenomena in L2 phonology, that refined representations in which ‘segments’ have internal prosodic structure offer a more insightful view of cross-linguistic phonetic interaction than traditional phonological models. These refinements may be implemented in the Onset Prominence representational environment, in which diverse structural parses affect sub-segmental phonetic properties, transitions between segments, and the form

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Daanen, Paul. "Conscious and Non-Conscious Representation in Social Representations Theory: Social Representations from the Phenomenological Point of View." Culture & Psychology 15, no. 3 (2009): 372–85. http://dx.doi.org/10.1177/1354067x09343704.

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Edfors, Inger, Susanne Wikman, Brita Johansson Cederblad, and Cedric Linder. "University Students’ Reflections on Representations in Genetics and Stereochemistry Revealed by a Focus Group Approach." Nordic Studies in Science Education 11, no. 2 (2015): 169–79. http://dx.doi.org/10.5617/nordina.2044.

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Genetics and organic chemistry are areas of science that students regard as difficult to learn. Part of this difficulty is derived from the disciplines having representations as part of their discourses. In order to optimally support students’ meaning-making, teachers need to use representations to structure the meaning-making experience in thoughtful ways that consider the variation in students’ prior knowledge. Using a focus group setting, we explored 43 university students’ reasoning on representations in introductory chemistry and genetics courses. Our analysis of eight focus group discuss

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Wang, Ke, Jiayong Liu, and Jing-Yan Wang. "Learning Domain-Independent Deep Representations by Mutual Information Minimization." Computational Intelligence and Neuroscience 2019 (June 16, 2019): 1–14. http://dx.doi.org/10.1155/2019/9414539.

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Domain transfer learning aims to learn common data representations from a source domain and a target domain so that the source domain data can help the classification of the target domain. Conventional transfer representation learning imposes the distributions of source and target domain representations to be similar, which heavily relies on the characterization of the distributions of domains and the distribution matching criteria. In this paper, we proposed a novel framework for domain transfer representation learning. Our motive is to make the learned representations of data points independ

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Mangum, Brian, and Patrick Shanahan. "Three-Dimensional Representations of Punctured Torus Bundles." Journal of Knot Theory and Its Ramifications 06, no. 06 (1997): 817–25. http://dx.doi.org/10.1142/s0218216597000455.

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In this paper, we construct a complex curve of irreducible [Formula: see text] representations of the fundamental group of a once punctured torus bundle over the circle. These representations are different from those obtained by composing representations in [Formula: see text] with the unique irreducible representation of [Formula: see text] in [Formula: see text]. Moreover, infinitely many of these representations are conjugate to SU(3) representations. We conclude the paper with a computation of the curve in the case that the bundle is the figure-eight knot complement, and we show that for i

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Goddard, Erin, Samuel G. Solomon, and Thomas A. Carlson. "Dynamic population codes of multiplexed stimulus features in primate area MT." Journal of Neurophysiology 118, no. 1 (2017): 203–18. http://dx.doi.org/10.1152/jn.00954.2016.

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The middle-temporal area (MT) of primate visual cortex is critical in the analysis of visual motion. Single-unit studies suggest that the response dynamics of neurons within area MT depend on stimulus features, but how these dynamics emerge at the population level, and how feature representations interact, is not clear. Here, we used multivariate classification analysis to study how stimulus features are represented in the spiking activity of populations of neurons in area MT of marmoset monkey. Using representational similarity analysis we distinguished the emerging representations of moving

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Sheldon, Andrew D., Elyana Saad, Muhammet I. Sahan, et al. "Attention Biases Competition for Visual Representation via Dissociable Influences from Frontal and Parietal Cortex." Journal of Cognitive Neuroscience 33, no. 4 (2021): 739–55. http://dx.doi.org/10.1162/jocn_a_01672.

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What mechanisms underlie the prioritization of neural representations of visually perceived information to guide behavior? We assessed the dynamics whereby attention biases competition for representation of visual stimuli by enhancing representations of relevant information and suppressing the irrelevant. Multivariate pattern analysis (MVPA) classifiers were trained to discriminate patterns of fMRI activity associated with each of three stimuli, within several predefined ROIs. Participants performed a change-detection task wherein two of three presented items flashed at 1 Hz, one to each side

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Giese, Martin A. "Mirror representations innate versus determined by experience: A viewpoint from learning theory." Behavioral and Brain Sciences 37, no. 2 (2014): 201–2. http://dx.doi.org/10.1017/s0140525x13002306.

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AbstractFrom the viewpoint of pattern recognition and computational learning, mirror neurons form an interesting multimodal representation that links action perception and planning. While it seems unlikely that all details of such representations are specified by the genetic code, robust learning of such complex representations likely requires an appropriate interplay between plasticity, generalization, and anatomical constraints of the underlying neural architecture.

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Komanduri, Aneesh. "Toward Causal Generative Modeling: From Representation to Generation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29275–76. https://doi.org/10.1609/aaai.v39i28.35215.

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Deep learning has given rise to the field of representation learning, which aims to automatically extract rich semantics from data. However, there have been several challenges in the generalization capabilities of deep learning models. Recent works have highlighted beneficial properties of causal models that are desirable for learning robust models under distribution shifts. Thus, there has been a growing interest in causal representation learning for achieving generalizability in tasks involving reasoning and planning. The goal of my dissertation is to develop theoretical intuitions and pract

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Lu, Hongjing, Ying Nian Wu, and Keith J. Holyoak. "Emergence of analogy from relation learning." Proceedings of the National Academy of Sciences 116, no. 10 (2019): 4176–81. http://dx.doi.org/10.1073/pnas.1814779116.

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By middle childhood, humans are able to learn abstract semantic relations (e.g., antonym, synonym, category membership) and use them to reason by analogy. A deep theoretical challenge is to show how such abstract relations can arise from nonrelational inputs, thereby providing key elements of a protosymbolic representation system. We have developed a computational model that exploits the potential synergy between deep learning from “big data” (to create semantic features for individual words) and supervised learning from “small data” (to create representations of semantic relations between wor

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Arefaine, Nigusse, Kassa Michael, and Shimelis Assefa. "GeoGebra Assisted Multiple Representations for Enhancing Students’ Representation Translation Abilities in Calculus." Asian Journal of Education and Training 8, no. 4 (2022): 121–30. http://dx.doi.org/10.20448/edu.v8i4.4309.

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Multiple representations cultivate students’ mathematical mindset. However, research results have reported that students do not benefit from these tools due to lack of representational fluency. This study was designed to determine the impact of GeoGebra assisted multiple representations approach on students’ representation translation performance in calculus. Pretest - posttest quasi experimental design was implemented. Three intact groups of first year first semester of social science students in the 2019/2020 academic year of size 53, 57 and 54 at Jigjiga and Kebri-Dehar Universities in Ethi

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Kikumoto, Atsushi, and Ulrich Mayr. "Conjunctive representations that integrate stimuli, responses, and rules are critical for action selection." Proceedings of the National Academy of Sciences 117, no. 19 (2020): 10603–8. http://dx.doi.org/10.1073/pnas.1922166117.

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People can use abstract rules to flexibly configure and select actions for specific situations, yet how exactly rules shape actions toward specific sensory and/or motor requirements remains unclear. Both research from animal models and human-level theories of action control point to the role of highly integrated, conjunctive representations, sometimes referred to as event files. These representations are thought to combine rules with other, goal-relevant sensory and motor features in a nonlinear manner and represent a necessary condition for action selection. However, so far, no methods exist

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Popal, Haroon, Yin Wang, and Ingrid R. Olson. "A Guide to Representational Similarity Analysis for Social Neuroscience." Social Cognitive and Affective Neuroscience 14, no. 11 (2019): 1243–53. http://dx.doi.org/10.1093/scan/nsz099.

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Abstract Representational similarity analysis (RSA) is a computational technique that uses pairwise comparisons of stimuli to reveal their representation in higher-order space. In the context of neuroimaging, mass-univariate analyses and other multivariate analyses can provide information on what and where information is represented but have limitations in their ability to address how information is represented. Social neuroscience is a field that can particularly benefit from incorporating RSA techniques to explore hypotheses regarding the representation of multidimensional data, how represen

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