scholarly journals Lightness from contrast: A selective integration model

2000 ◽  
Vol 62 (6) ◽  
pp. 1160-1181 ◽  
Author(s):  
William D. Ross ◽  
Luiz Pessoa
Keyword(s):  
Integration Model ◽  
Selective Integration

scholarly journals Selective Integration during Sequential Sampling in Posterior Neural Signals

2020 ◽  
Vol 30 (8) ◽  
pp. 4454-4464 ◽  
Author(s):  
Fabrice Luyckx ◽  
Bernhard Spitzer ◽  
Annabelle Blangero ◽  
Konstantinos Tsetsos ◽  
Christopher Summerfield
Keyword(s):  
Sequential Sampling ◽  
Relevant Information ◽  
Average Height ◽  
Neural Signals ◽  
Posterior Cortex ◽  
Integration Model ◽  
Trial Analysis ◽  
Rival Model ◽  
Processing Resources ◽  
Selective Integration

Abstract Decisions are typically made after integrating information about multiple attributes of alternatives in a choice set. Where observers are obliged to consider attributes in turn, a computational framework known as “selective integration” can capture salient biases in human choices. The model proposes that successive attributes compete for processing resources and integration is biased towards the alternative with the locally preferred attribute. Quantitative analysis shows that this model, although it discards choice-relevant information, is optimal when the observers’ decisions are corrupted by noise that occurs beyond the sensory stage. Here, we used electroencephalography (EEG) to test a neural prediction of the model: that locally preferred attributes should be encoded with higher gain in neural signals over the posterior cortex. Over two sessions, human observers judged which of the two simultaneous streams of bars had the higher (or lower) average height. The selective integration model fits the data better than a rival model without bias. Single-trial analysis showed that neural signals contralateral to the preferred attribute covaried more steeply with the decision information conferred by locally preferred attributes. These findings provide neural evidence in support of selective integration, complementing existing behavioral work.

scholarly journals Selective integration during sequential sampling in posterior neural signals

2019 ◽  
Author(s):  
Fabrice Luyckx ◽  
Bernhard Spitzer ◽  
Annabelle Blangero ◽  
Konstantinos Tsetsos ◽  
Christopher Summerfield
Keyword(s):  
Sequential Sampling ◽  
Relevant Information ◽  
Average Height ◽  
Neural Signals ◽  
Posterior Cortex ◽  
Integration Model ◽  
Rival Model ◽  
Multiple Attributes ◽  
Eeg Recordings ◽  
Selective Integration

AbstractDecisions are typically made after integrating information about multiple attributes of alternatives in a choice set. The computational mechanisms by which this integration occurs have been a focus of extensive research in humans and other animals. Where observers are obliged to consider attributes in turn, a framework known as “selective integration” can capture salient biases in human choices. The model proposes that successive attributes compete for processing resources and integration is biased towards the alternative with the locally preferred attribute. Quantitative analysis shows that this model, although it discards choice-relevant information, is optimal when the observers’ decisions are corrupted by noise that occurs beyond the sensory stage. Here, we used scalp electroencephalographic (EEG) recordings to test a neural prediction of the model: that locally preferred attributes should be encoded with higher gain in neural signals over posterior cortex. Over two sessions, human observers (of either sex) judged which of two simultaneous streams of bars had the higher (or lower) average height. The selective integration model fit the data better than a rival model without bias. Single-trial analysis showed that neural signals contralateral to the preferred attribute covaried more steeply with the decision information conferred by locally preferred attributes. These findings provide neural evidence in support of selective integration, complementing existing behavioural work.Significance StatementWe often make choices about stimuli with multiple attributes, such as when deciding which car to buy on the basis of price, performance and fuel economy. A model of the choice process, known as selective integration, proposes that rather than taking all of the decision-relevant information equally into account when making choices, we discard or overlook a portion of it. Although information is discarded, this strategy can lead to better decisions when memory is limited. Here, we test and confirm predictions of the model about the brain signals that occur when different stimulus attributes of stimulus are being evaluated. Our work provides the first neural support for the selective integration model.

Parasympathetic Concomitants of Habitual, Spontaneous, and Instructed Emotional Suppression

2017 ◽  
Vol 31 (2) ◽  
pp. 78-89 ◽  
Author(s):  
Asmir Gračanin ◽  
Igor Kardum ◽  
Jasna Hudek-Knežević
Keyword(s):  
Negative Emotion ◽  
Self Regulation ◽  
Experimental Manipulation ◽  
Task Demands ◽  
Self Control ◽  
Integration Model ◽  
Sinus Arrhythmia ◽  
Emotional Suppression ◽  
Emotion Experience ◽  
Similar Relation

Abstract. The neurovisceral integration model proposes that different forms of self-regulation, including the emotional suppression, are characterized by the activation of neural network whose workings are also reflected in respiratory sinus arrhythmia (RSA). However, most of the previous studies failed to observe theoretically expected increases in RSA during emotional suppression. Even when such effects were observed, it was not clear whether they resulted from specific task demands, a decrease in muscle activity, or they were the consequence of more specific self-control processes. We investigated the relation between habitual or trait-like suppression, spontaneous, and instructed suppression with changes in RSA during negative emotion experience. A modest positive correlation between spontaneous situational and habitual suppression was observed across two experimental tasks. Furthermore, the results showed greater RSA increase among participants who experienced higher negative affect (NA) increase and reported higher spontaneous suppression than among those with higher NA increase and lower spontaneous suppression. Importantly, this effect was independent from the habitual suppression and observable facial expressions. The results of the additional task based on experimental manipulation, rather than spontaneous use of situational suppression, indicated a similar relation between suppression and RSA. Our results consistently demonstrate that emotional suppression, especially its self-regulation component, is followed by the increase in parasympathetic activity.

Geo-Economic Competition in Latin America: Brazil, Venezuela, and Regional Integration in the 21st Century

2018 ◽  
Vol 33 ◽  
Author(s):  
Guilherme Casarões
Keyword(s):  
Latin American ◽  
Regional Integration ◽  
Free Trade Area ◽  
The United States ◽  
Economic Competition ◽  
Integration Model ◽  
Trade Area ◽  
Complex Processes ◽  
The Us ◽  
New Institutions

The institutional framework of Latin American integration saw a period of intense transformation in the 2000s, with the death of the ambitious project of the Free Trade Area of the Americas (FTAA), spearheaded by the United States, and the birth of two new institutions, the Union of South American Nations (UNASUR) and the Community of Latin American and Caribbean States (CELAC). This article offers a historical reconstruction of regional integration structures in the 2000s, with emphasis on the fault lines between Brazil, Venezuela and the US, and how they have shaped the institutional order across the hemisphere. We argue that the shaping of UNASUR and CELAC, launched respectively in 2007 and 2010, is the outcome of three complex processes: (1) Brazil’s struggle to strengthen Mercosur by acting more decisively as a regional paymaster; (2) Washington’s selective engagement with some key regional players, notably Colombia, and (3) Venezuela’s construction of an alternative integration model through the Bolivarian Alliance (ALBA) and oil diplomacy. If UNASUR corresponded to Brazil’s strategy to neutralize the growing role of Caracas in South America and to break apart the emerging alliance between Venezuela, Argentina, and Bolivia, CELAC was at the same time a means to keep the US away from regional decisions, and to weaken the Caracas-Havana axis that sustained ALBA.

Research on Regional Land Information Integration Model

2010 ◽  
Vol 12 (4) ◽  
pp. 568-573
Author(s):  
Siyuan ZHU ◽  
Yingchun HUANG
Keyword(s):  
Information Integration ◽  
Integration Model ◽  
Regional Land
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