Simulation across representation: The interplay of schemas and simulation-based inference on different levels of abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Malte Schilling ◽  
Nancy Chang ◽  
Katharina J. Rohlfing ◽  
Michael Spranger

Abstract Language comprehension of action verbs recruits embodied representations in the brain that are assumed to invoke a mental simulation (e.g., “grasping a peanut”). This extends to abstract concepts, as well (“grasping an idea”). We, therefore, argue that mental simulation works across levels of abstractness and involves higher-level schematic structures that subsume a generic structure of actions and events.

2021 ◽  
Vol 11 (10) ◽  
pp. 4652
Author(s):  
Luis Pastor ◽  
Sofia Bayona ◽  
Juan P. Brito ◽  
María Cuevas ◽  
Isabel Fernaud ◽  
...  

The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.


2021 ◽  
Author(s):  
Peter Cromwell

Islamic geometric patterns are arrangements of interlocking stars and polygons. Why do they attract our attention? Following Silvia's model, interesting stimuli are hard to process yet comprehensible. To understand what it means to make sense of a geometric pattern we explore representations of space and geometric structure. Perceptual and linguistic evidence yields small sets of primitive objects and qualitative relations that suffice to build a synthetic geometry of perceptual space; constructing patterns requires the capability to divide lines and circles into equal parts, but does not rely on measuring lengths or angles explicitly.We compare eight representations of a star motif that demonstrate different approaches, different spatial frames of reference, and different levels of abstraction. A representation may be parametrised to represent a category, which allows us to verify that it captures salient features (the object should not be an anomaly in the category). We conclude that sequential constructive representations (algorithms) do not provide a good model for spatial structure, and that compression (encoding) and comprehension (making sense) are distinct.Chunking and schemas capture generic structure in unfamiliar contexts, in particular repetitive, composite, modular and hierarchical structure. The large corpus of Islamic patterns exhibits constant innovation over hundreds of years. We give examples to illustrate a clear trend towards increasingly complex structure, of both modular and hierarchical forms.


2011 ◽  
Vol 21 (3-4) ◽  
pp. 135-140 ◽  
Author(s):  
Toni A. Krol ◽  
Sebastian Westhäuser ◽  
M. F. Zäh ◽  
Johannes Schilp ◽  
G. Groth

2021 ◽  
Vol 13 (3) ◽  
pp. 1130
Author(s):  
Xiaoke Yang ◽  
Yuanhao Huang ◽  
Xiaoying Cai ◽  
Yijing Song ◽  
Hui Jiang ◽  
...  

Upcycled food, a new kind of food, provides an effective solution to reduce the food waste from the source on the premise of food security for human beings. However, the commercial success of upcycled food and its contribution to environmental sustainability are determined by consumers’ purchase intentions. In order to overcome consumers’ unfamiliarity with upcycled food and fear of new technology, based on the cue utility theory, we adopted scenario simulation through online questionnaires in three experiments to explore how mental simulation can improve consumers’ product evaluation and purchase intentions for upcycled food. Through ANOVA, the t-test, and the Bootstrap methods, the results showed that, compared with the control group, consumers’ product evaluation and purchase intentions for upcycled food in the mental simulation group significantly increased. Among them, consumers’ inspiration played a mediation role. The consumers’ future self-continuity could moderate the effect of mental simulation on consumers’ purchase intentions for upcycled food. The higher the consumers’ future self-continuity, the stronger the effect of mental simulation. Based on the above results, in the marketing promotion of upcycled food, promotional methods, such as slogans and posters, could be used to stimulate consumers, especially the mental simulation thinking mode of consumer groups with high future self-continuity, thus improving consumers’ purchase intentions for upcycled food.


Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5136
Author(s):  
Bassem Ouni ◽  
Christophe Aussagues ◽  
Saadia Dhouib ◽  
Chokri Mraidha

Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities. A high-level framework is highly required to pre-evaluate the system’s performance, check the consistency between different levels of abstraction and address the concerns of various stakeholders. In this work, we integrate the development process of I&C systems and the involvement of stakeholders within a model-driven methodology. The proposed approach introduces a new architectural framework that defines various concepts, allowing system implementations and encompassing different development phases, all actors, and system concerns. In addition, we define a new I&C Modeling Language (ICML) and a set of methodological rules needed to build different architectural framework views. To illustrate this methodology, we extend the specific use of an open-source system engineering tool, named Eclipse Papyrus, to carry out many automation and verification steps at different levels of abstraction. The architectural framework modeling capabilities will be validated using a realistic use case system for the protection of nuclear reactors. The proposed framework is able to reduce the overall system development cost by improving links between different specification tasks and providing a high abstraction level of system components.


2020 ◽  
Vol 319 (3) ◽  
pp. R366-R375
Author(s):  
Hugo F. Posada-Quintero ◽  
Youngsun Kong ◽  
Kimberly Nguyen ◽  
Cara Tran ◽  
Luke Beardslee ◽  
...  

We have tested the feasibility of thermal grills, a harmless method to induce pain. The thermal grills consist of interlaced tubes that are set at cool or warm temperatures, creating a painful “illusion” (no tissue injury is caused) in the brain when the cool and warm stimuli are presented collectively. Advancement in objective pain assessment research is limited because the gold standard, the self-reporting pain scale, is highly subjective and only works for alert and cooperative patients. However, the main difficulty for pain studies is the potential harm caused to participants. We have recruited 23 subjects in whom we induced electric pulses and thermal grill (TG) stimulation. The TG effectively induced three different levels of pain, as evidenced by the visual analog scale (VAS) provided by the subjects after each stimulus. Furthermore, objective physiological measurements based on electrodermal activity showed a significant increase in levels as stimulation level increased. We found that VAS was highly correlated with the TG stimulation level. The TG stimulation safely elicited pain levels up to 9 out of 10. The TG stimulation allows for extending studies of pain to ranges of pain in which other stimuli are harmful.


2009 ◽  
Vol 21 (11) ◽  
pp. 2154-2171 ◽  
Author(s):  
Anna Mestres-Missé ◽  
Thomas F. Münte ◽  
Antoni Rodriguez-Fornells

The meaning of a novel word can be acquired by extracting it from linguistic context. Here we simulated word learning of new words associated to concrete and abstract concepts in a variant of the human simulation paradigm that provided linguistic context information in order to characterize the brain systems involved. Native speakers of Spanish read pairs of sentences in order to derive the meaning of a new word that appeared in the terminal position of the sentences. fMRI revealed that learning the meaning associated to concrete and abstract new words was qualitatively different and recruited similar brain regions as the processing of real concrete and abstract words. In particular, learning of new concrete words selectively boosted the activation of the ventral anterior fusiform gyrus, a region driven by imageability, which has previously been implicated in the processing of concrete words.


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