scholarly journals Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition

2018 ◽  
Author(s):  
Brad Wyble ◽  
Chloe Callahan-Flintoft ◽  
Hui Chen ◽  
Toma Marinov ◽  
Aakash Sarkar ◽  
...  
Keyword(s):  
Visual Attention ◽  
Relevant Information ◽  
Neural Correlates ◽  
Neural Mechanisms ◽  
Covert Attention ◽  
Lower Priority ◽  
Reflexive Attention ◽  
Visual Hierarchy ◽  
New Information ◽  
Suppression Effects

AbstractA quintessential challenge for any perceptual system is the need to focus on task-relevant information without being blindsided by unexpected, yet important information. The human visual system incorporates several solutions to this challenge, one of which is a reflexive covert attention system that is rapidly responsive to both the physical salience and the task-relevance of new information. This paper presents a model that simulates behavioral and neural correlates of reflexive attention as the product of brief neural attractor states that are formed across the visual hierarchy when attention is engaged. Such attractors emerge from an attentional gradient distributed over a population of topographically organized neurons and serve to focus processing at one or more locations in the visual field, while inhibiting the processing of lower priority information. The model moves towards a resolution of key debates about the nature of reflexive attention, such as whether it is parallel or serial, and whether suppression effects are distributed in a spatial surround, or selectively at the location of distractors. Most importantly, the model develops a framework for understanding the neural mechanisms of visual attention as a spatiotopic decision process within a hierarchy and links them to observable correlates such as accuracy, reaction time, and the N2pc and PD components of the EEG. This last contribution is the most crucial for repairing the disconnect that exists between our understanding of behavioral and neural correlates of attention.

scholarly journals The neural mechanisms of active removal from working memory

2021 ◽  
Author(s):  
Jiangang Shan ◽  
Bradley Postle
Keyword(s):  
Working Memory ◽  
Relevant Information ◽  
Neural Mechanisms ◽  
Fmri Data ◽  
Similarity Analysis ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Flexible Control ◽  
Mental Context ◽  
New Information

The ability to frequently update the contents working memory (WM) is vital for the flexible control of behavior. Whether there even exists a mechanism for the active removal of information from working memory, however, remains poorly understood. In this Registered Report we will test the predictions of models for two different (and not mutually exclusive) mechanisms of active removal: adaptation-hijacking and mental-context shifting. We will collect functional magnetic resonance imaging (fMRI) data while subjects perform a novel “ABC-retrocuing” task designed to elicit two modes of removal, active or passive (Shan & Postle, Registered Report). The adaptation-hijacking model posits an adaptation-like modification of perceptual circuits combined with a weak activation of the to-be-removed item. Its predictions will be assessed by using multivariate inverted encoding modeling (IEM) and photic “pings” to assay the state of feature-selective encoding channels and of activity-silent representations under active-removal versus passive-removal conditions. A second model – “working memory episodic memory” (WMEM) – posits that interference from no-longer-relevant information is minimized by making the mental context associated with new information dissimilar from that associated with the to-be-“removed” information. This will be tested by using representational similarity analysis (RSA) to compare the rate of contextual drift under active-removal versus passive-removal conditions.

scholarly journals Adaptive learning is structure learning in time

2020 ◽  
Author(s):  
Linda Q. Yu ◽  
Robert C Wilson ◽  
Matthew R. Nassar
Keyword(s):  
Adaptive Learning ◽  
Structure Learning ◽  
Relevant Information ◽  
Neural Mechanisms ◽  
Multiple Sources ◽  
System View ◽  
Environmental Statistics ◽  
New Information ◽  
The Brain ◽  
Over Time

People use information flexibly. They often combine multiple sources of relevant information over time in order to inform decisions with little or no interference from intervening irrelevant sources. They adjust the degree to which they use new information over time rationally in accordance with environmental statistics and their own uncertainty. They can even use information gained in one situation to solve a problem in a very different one. Learning flexibly rests on the ability to infer the context at a given time, and therefore knowing which pieces of information to combine and which to separate. We review the psychological and neural mechanisms behind adaptive learning and structure learning to outline how people pool together relevant information, demarcate contexts, prevent interference between information collected in different contexts, and transfer information from one context to another. By examining all of these processes through the lens of optimal inference we bridge concepts from multiple fields to provide a unified multi-system view of how the brain exploits structure in time to optimize learning.

scholarly journals Cognitive Control of Working Memory: A Model-Based Approach

2021 ◽  
Vol 11 (6) ◽  
pp. 721
Author(s):  
Russell J. Boag ◽  
Niek Stevenson ◽  
Roel van Dooren ◽  
Anne C. Trutti ◽  
Zsuzsika Sjoerds ◽  
...  
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Cognitive Control ◽  
Relevant Information ◽  
Decision Time ◽  
Control Processes ◽  
Prepotent Response ◽  
New Information ◽  
Empirical Performance ◽  
Flow Of Information

Working memory (WM)-based decision making depends on a number of cognitive control processes that control the flow of information into and out of WM and ensure that only relevant information is held active in WM’s limited-capacity store. Although necessary for successful decision making, recent work has shown that these control processes impose performance costs on both the speed and accuracy of WM-based decisions. Using the reference-back task as a benchmark measure of WM control, we conducted evidence accumulation modeling to test several competing explanations for six benchmark empirical performance costs. Costs were driven by a combination of processes, running outside of the decision stage (longer non-decision time) and showing the inhibition of the prepotent response (lower drift rates) in trials requiring WM control. Individuals also set more cautious response thresholds when expecting to update WM with new information versus maintain existing information. We discuss the promise of this approach for understanding cognitive control in WM-based decision making.

scholarly journals Visual Attention and Aging: an Age-Related Cognitive Model of Positive Adaptation

2014 ◽  
Vol 4 (3) ◽  
pp. 181-191
Author(s):  
José Manuel Rodríguez-Ferrer
Keyword(s):  
Young People ◽  
Visual Attention ◽  
Response Times ◽  
Age Groups ◽  
Cognitive Model ◽  
Covert Attention ◽  
Positive Adaptation ◽  
Healthy Elderly ◽  
Age Related ◽  
Healthy Young People

We have studied the effects of normal aging on visual attention. Have participated a group of 38 healthy elderly people with an average age of 67.8 years and a group of 39 healthy young people with average age of 19.2 years. In a first experiment of visual detection, response times were recorded, with and without covert attention, to the presentation of stimuli (0.5º in diameter grey circles) appearing in three eccentricities (2.15, 3.83 and 5.53° of visual field) and with three levels of contrast (6, 16 and 78%). In a second experiment of visual form discrimination circles and squares with the same features as in the previous experiment were presented, but in this case subjects only should respond to the emergence of the circles. In both age groups, the covert attention reduced response times. Compared to young people, the older group achieved better results in some aspects of attention tests and response times were reduced more in the stimuli of greater eccentricity. The data suggest that there is a mechanism of adaptation in aging, in which visual attention especially favors the perception of those stimuli more difficult to detec

Neural Correlates of Syntactic Processing in Two-Year-Olds

2005 ◽  
Vol 17 (10) ◽  
pp. 1667-1678 ◽  
Author(s):  
Regine Oberecker ◽  
Manuela Friedrich ◽  
Angela D. Friederici
Keyword(s):  
Sentence Processing ◽  
Phrase Structure ◽  
Neural Correlates ◽  
Neural Mechanisms ◽  
Syntactic Processing ◽  
Early Language ◽  
Late Positivity ◽  
Early Language Development ◽  
First Pass ◽  
Anterior Negativity

Event-related brain potential (ERP) studies of sentence processing in adults have shown that phrase-structure violations are associated with two ERP components: an early left anterior negativity (ELAN) and a late, centro-parietal positivity (P600). Although the ELAN reflects highly automatic first-pass sentence parsing, the P600 has been interpreted to reflect later, more controlled processes. The present ERP study investigates the processing of phrase-structure violations in children below three years of age. Both children (mean age of 2.8 years) and adults passively listened to short active sentences that were either correct or syntactically incorrect. Adults displayed an ELAN that was followed by a P600 to the syntactic violation. Children also demonstrated a biphasic ERP pattern consisting of an early left hemispheric negativity and a late positivity. Both components, however, started later and persisted longer than those observed in adults. The left lateralization of the children's negativity suggests that this component can be interpreted as a child-specific precursor to the ELAN observed in adults. The appearance of the early negativity indicates that the neural mechanisms of syntactic parsing are present, in principle, during early language development.

The Demand for, and Avoidance of, Information

2021 ◽  
Author(s):  
Russell Golman ◽  
George Loewenstein ◽  
Andras Molnar ◽  
Silvia Saccardo
Keyword(s):  
Decision Making ◽  
Time Lag ◽  
Relevant Information ◽  
Behavioral Theory ◽  
Bad News ◽  
Good News ◽  
Focus Attention ◽  
New Information ◽  
Attention Demand ◽  
Aid Decision

Management scientists recognize that decision making depends on the information people have but lack a unified behavioral theory of the demand for (and avoidance of) information. Drawing on an existing theoretical framework in which utility depends on beliefs and the attention paid to them, we develop and test a theory of the demand for information encompassing instrumental considerations, curiosity, and desire to direct attention to beliefs one feels good about. We decompose an individual’s demand for information into the desire to refine beliefs, holding attention constant, and the desire to focus attention on anticipated beliefs, holding these beliefs constant. Because the utility of resolving uncertainty (i.e., refining beliefs) depends on the attention paid to it and more important or salient questions capture more attention, demand for information depends on the importance and salience of the question(s) it addresses. In addition, because getting new information focuses attention on one’s beliefs and people want to savor good news and ignore bad news, the desire to obtain or avoid information depends on the valence (i.e., goodness or badness) of anticipated beliefs. Five experiments (n = 2,361) test and find support for these hypotheses, looking at neutrally valenced as well as ego-relevant information. People are indeed more inclined to acquire information (a) when it feels more important, even if it cannot aid decision making (Experiments 1A and 2A); (b) when a question is more salient, manipulated through time lag (Experiments 1B and 2B); and (c) when anticipated beliefs have higher valence (Experiment 2C). This paper was accepted by Yan Chen, behavioral economics and decision analysis.

scholarly journals Neural correlates of beauty retouching to enhance attractiveness of self-depictions in women

2020 ◽  
Author(s):  
Chisa Ota ◽  
Tamami Nakano
Keyword(s):  
Magnetic Resonance Imaging ◽  
Social Media ◽  
Neural Activity ◽  
Facial Attractiveness ◽  
Neural Correlates ◽  
Neural Mechanisms ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Amygdala Activity ◽  
Increased Activity

AbstractBeauty filters, while often employed for retouching photos to appear more attractive on social media, when used in excess cause images to give a distorted impression. The neural mechanisms underlying this change in facial attractiveness according to beauty retouching level remain unknown. The present study used functional magnetic resonance imaging in women as they viewed photos of their own face or unknown faces that had been retouched at three levels: no, mild, and extreme. The activity in the nucleus accumbens (NA) exhibited a positive correlation with facial attractiveness, whereas amygdala activity showed a negative correlation with attractiveness. Even though the participants rated others’ faces as more attractive than their own, the NA showed increased activity only for their mildly retouched own face and the amygdala exhibited greater activation in the others’ faces condition than the own face condition. Moreover, amygdala activity was greater for extremely retouched faces than for unretouched or mildly retouched faces for both conditions. Frontotemporal and cortical midline areas showed greater activation for one’s own than others’ faces, but such self-related activation was absent when extremely retouched. These results suggest that neural activity dynamically switches between the NA and amygdala according to perceived attractiveness of one’s face.

scholarly journals Neuronal modulation in the mouse superior colliculus during covert visual selective attention

2021 ◽  
Author(s):  
Lupeng Wang ◽  
James P. Herman ◽  
Richard J. Krauzlis
Keyword(s):  
Visual Attention ◽  
Selective Attention ◽  
Superior Colliculus ◽  
Firing Rate ◽  
Spatial Location ◽  
Relevant Information ◽  
Brain Regions ◽  
Uncued Location ◽  
Visual Selective Attention ◽  
Covert Visual Attention

AbstractCovert visual attention is accomplished by a cascade of mechanisms distributed across multiple brain regions. Recent studies in primates suggest a parcellation in which visual cortex is associated with enhanced representations of relevant stimuli, whereas subcortical circuits are associated with selection of visual targets and suppression of distractors. Here we identified how neuronal activity in the superior colliculus (SC) of head-fixed mice is modulated during covert visual attention. We found that spatial cues modulated both firing rate and spike-count correlations, and that the cue-related modulation in firing rate was due to enhancement of activity at the cued spatial location rather than suppression at the uncued location. This modulation improved the neuronal discriminability of visual-change-evoked activity between contralateral and ipsilateral SC neurons. Together, our findings indicate that neurons in the mouse SC contribute to covert visual selective attention by biasing processing in favor of locations expected to contain relevant information.

scholarly journals Covert Attention to Gestures Is Sufficient for Information Uptake

2021 ◽  
Vol 12 ◽  
Author(s):  
Kendra Gimhani Kandana Arachchige ◽  
Wivine Blekic ◽  
Isabelle Simoes Loureiro ◽  
Laurent Lefebvre
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Information Extraction ◽  
Sentence Context ◽  
Covert Attention ◽  
Speech Comprehension ◽  
Video Clips ◽  
Degraded Speech ◽  
Different Types ◽  
Tracking Technology

Numerous studies have explored the benefit of iconic gestures in speech comprehension. However, only few studies have investigated how visual attention was allocated to these gestures in the context of clear versus degraded speech and the way information is extracted for enhancing comprehension. This study aimed to explore the effect of iconic gestures on comprehension and whether fixating the gesture is required for information extraction. Four types of gestures (i.e., semantically and syntactically incongruent iconic gestures, meaningless configurations, and congruent iconic gestures) were presented in a sentence context in three different listening conditions (i.e., clear, partly degraded or fully degraded speech). Using eye tracking technology, participants’ gaze was recorded, while they watched video clips after which they were invited to answer simple comprehension questions. Results first showed that different types of gestures differently attract attention and that the more speech was degraded, the less participants would pay attention to gestures. Furthermore, semantically incongruent gestures appeared to particularly impair comprehension although not being fixated while congruent gestures appeared to improve comprehension despite also not being fixated. These results suggest that covert attention is sufficient to convey information that will be processed by the listener.

scholarly journals Covert Visual Attention Modulates Face-Specific Activity in the Human Fusiform Gyrus: fMRI Study

1998 ◽  
Vol 79 (3) ◽  
pp. 1574-1578 ◽  
Author(s):  
Ewa Wojciulik ◽  
Nancy Kanwisher ◽  
Jon Driver
Keyword(s):  
Visual Attention ◽  
Specific Activity ◽  
Region Of Interest ◽  
Fusiform Gyrus ◽  
Covert Attention ◽  
Matching Task ◽  
Voluntary Attention ◽  
Retinal Stimulation ◽  
Covert Visual Attention ◽  
Fmri Study

Wojciulik, Ewa, Nancy Kanwisher, and Jon Driver. Covert visual attention modulates face-specific activity in the human fusiform gyrus: an fMRI study. J. Neurophysiol. 79: 1574–1578, 1998. Several lines of evidence demonstrate that faces undergo specialized processing within the primate visual system. It has been claimed that dedicated modules for such biologically significant stimuli operate in a mandatory fashion whenever their triggering input is presented. However, the possible role of covert attention to the activating stimulus has never been examined for such cases. We used functional magnetic resonance imaging to test whether face-specific activity in the human fusiform face area (FFA) is modulated by covert attention. The FFA was first identified individually in each subject as the ventral occipitotemporal region that responded more strongly to visually presented faces than to other visual objects under passive central viewing. This then served as the region of interest within which attentional modulation was tested independently, using active tasks and a very different stimulus set. Subjects viewed brief displays each comprising two peripheral faces and two peripheral houses (all presented simultaneously). They performed a matching task on either the two faces or the two houses, while maintaining central fixation to equate retinal stimulation across tasks. Signal intensity was reliably stronger during face-matching than house matching in both right- and left-hemisphere predefined FFAs. These results show that face-specific fusiform activity is reduced when stimuli appear outside (vs. inside) the focus of attention. Despite the modular nature of the FFA (i.e., its functional specificity and anatomic localization), face processing in this region nonetheless depends on voluntary attention.

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