scholarly journals Chunking is not all-or-none: hierarchical representations preserve perceptual detail within chunks

2021 ◽  
Vol 21 (9) ◽  
pp. 2312
Author(s):  
Timothy Brady ◽  
Michael Allen ◽  
Isabella DeStefano
Keyword(s):  
Perceptual Detail ◽  
Hierarchical Representations

scholarly journals Chunks are not “Content-Free”: Hierarchical Representations Preserve Perceptual Detail within Chunks

2021 ◽  
Author(s):  
Michael G Allen ◽  
Isabella Destefano ◽  
Timothy F. Brady
Keyword(s):  
Working Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Alternative View ◽  
Long Term Memory ◽  
Term Memory ◽  
Perceptual Detail ◽  
Hierarchical Representations ◽  
Strong Contrast

Chunks allow us to use long-term knowledge to efficiently represent the world in working memory. Most views of chunking assume that when we use chunks, this results in the loss of specific perceptual details, since it is presumed the contents of chunks are decoded from long-term memory rather than reflecting the exact details of the item that was presented. However, in two experiments, we find that in situations where participants make use of chunks to improve visual working memory, access to instance-specific perceptual detail (that cannot be retrieved from long-term memory) increased, rather than decreased. This supports an alternative view: that chunks facilitate the encoding and retention into memory of perceptual details as part of structured, hierarchical memories, rather than serving as mere “content-free” pointers. It also provides a strong contrast to accounts in which working memory capacity is assumed to be exhaustively described by the number of chunks remembered.

scholarly journals Visualizations of SARS-CoV-2 Genomes on Genomic Index Maps

2021 ◽  
Author(s):  
Jeffrey Zheng ◽  
Minghan Zhu ◽  
Mu Qiao ◽  
Yang Zhou
Keyword(s):  
Multiple Levels ◽  
Index Maps ◽  
Hierarchical Representations

Abstract In this paper, comprehensive cases are visualized by {C1, C2, C3, C4} four modules of the MAS. Four sets of SARS-CoV-2 genomes with 20, 128, 381 and 1337 cases were processed to be represented as a series of genomic index maps in four entropies: combinatorial, integrated, mean and topological entropies, respectively. Typical samples and explanations are described. Multiple levels of hierarchical representations are illustrated.

scholarly journals Influencia del perfil de los jóvenes en sus valores del cuerpo (Influence of the profile of young people on their body values)

Retos ◽  
2021 ◽  
pp. 299-309
Author(s):  
Lorena Velasco-Santos ◽  
José Luis Pastor Pradillo ◽  
David Blanco-Alcántara ◽  
Alfredo Jiménez Eguizábal
Keyword(s):  
Young People ◽  
The Body ◽  
Descriptive Statistics ◽  
First Year ◽  
Castilla Y Leon ◽  
Educational Establishment ◽  
Gender Profile ◽  
Hierarchical Representations ◽  
Academic Year ◽  
Study Center

  El presente artículo analiza los valores del cuerpo de 536 estudiantes de 1º Bachillerato en Castilla y León en el curso 2017/18 en función de sus variables de perfil sexo, modalidad de bachillerato, naturaleza, titularidad y provincia de pertenencia del centro de estudios. El objetivo es describir tendencias generales asociadas a dichas variables de perfil. El instrumento de medida es el test elaborado por Casares y Collados (1998) que clasifica en 10 los valores del cuerpo en base a 250 ítems agrupados en bloques de 25. El tratamiento de datos se lleva a cabo mediante un análisis de valores medios. Los resultados obtenidos son mostrados en forma de tablas de puntuaciones, gráficos y representaciones jerárquicas. Se calculan estadísticos descriptivos y estadística inferencial. Se observan diferencias estadísticamente significativas asociadas a la variable de perfil sexo y, secundariamente, provincia de pertenencia del centro de estudios. Asimismo, destaca el valor placer como el más agradable en todas las clasificaciones y el valor religioso el menos, exceptuando lo ocurrido en Soria donde se torna incluso positivo. Todo ello describe la realidad en que los estudiantes de 1º bachillerato conciben su cuerpo y le conceden su valor, lo que abre nuevos flancos críticos en la educación a través de los valores del cuerpo.  Abstract. This article analyzes the body values of 536 First Year Bachillerato students in the Castilla y León region of Spain during the academic year 2017/18 according to their special characteristics such as gender, Bachillerato option, personality, qualifications and province administering the educational establishment they attend. The aim is to describe general trends associated with these profile variables. The instrument of measurement is the test devised by Casares and Collados (1998), which divides body values into 10 categories. It is based on 250 items classified into 10 groups of 25 defining the body values. Data processing is carried out through an analysis of average values. The results obtained are shown in the form of score tables, graphs and hierarchical representations. Descriptive statistics and inferential statistics are calculated. Significant differences associated to the variable of gender profile and, secondarily, province of belonging to the study center are highlighted. Likewise, the pleasure value stands out as the most pleasant in all classifications and the religious value the least, except for what happened in Soria where it becomes even positive. The procedure of preferred values ratifies the pleasure value as the most pleasant, however the religious value is rarely the least preferred. All this describes the reality in which the students of the 1st baccalaureate conceive their body and give it their value, which opens new critical flanks in education through the values ​​of the body.

scholarly journals Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection

2020 ◽  
Author(s):  
Lianli Gao ◽  
Zhilong Zhou ◽  
Heng Tao Shen ◽  
Jingkuan Song
Keyword(s):  
Edge Detection ◽  
Spatial Information ◽  
New Records ◽  
State Of The Art ◽  
Top Down ◽  
Bottom Up ◽  
Image Edge Detection ◽  
Universal Network ◽  
Image Edge ◽  
Hierarchical Representations

Image edge detection is considered as a cornerstone task in computer vision. Due to the nature of hierarchical representations learned in CNN, it is intuitive to design side networks utilizing the richer convolutional features to improve the edge detection. However, there is no consensus way to integrate the hierarchical information. In this paper, we propose an effective and end-to-end framework, named Bidirectional Additive Net (BAN), for image edge detection. In the proposed framework, we focus on two main problems: 1) how to design a universal network for incorporating hierarchical information sufficiently; and 2) how to achieve effective information flow between different stages and gradually improve the edge map stage by stage. To tackle these problems, we design a consecutive bottom-up and top-down architecture, where a bottom-up branch can gradually remove detailed or sharp boundaries to enable accurate edge detection and a top-down branch offers a chance of error-correcting by revisiting the low-level features that contain rich textual and spatial information. And attended additive module (AAM) is designed to cumulatively refine edges by selecting pivotal features in each stage. Experimental results show that our proposed methods can improve the edge detection performance to new records and achieve state-of-the-art results on two public benchmarks: BSDS500 and NYUDv2.

scholarly journals Behavioral and neural constraints on hierarchical representations

2017 ◽  
Vol 17 (3) ◽  
pp. 13 ◽  
Author(s):  
Odelia Schwartz ◽  
Luis Gonzalo Sanchez Giraldo
Keyword(s):  
Hierarchical Representations
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