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Hunter B, Montgomery B, Sridhar A, Markant J. Endogenous Control and Reward-based Mechanisms Shape Infants' Attention Biases to Caregiver Faces. Dev Psychobiol 2024; 66:e22521. [PMID: 38952248 DOI: 10.1002/dev.22521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/30/2024] [Accepted: 05/25/2024] [Indexed: 07/03/2024]
Abstract
Infants rely on developing attention skills to identify relevant stimuli in their environments. Although caregivers are socially rewarding and a critical source of information, they are also one of many stimuli that compete for infants' attention. Young infants preferentially hold attention on caregiver faces, but it is unknown whether they also preferentially orient to caregivers and the extent to which these attention biases reflect reward-based attention mechanisms. To address these questions, we measured 4- to 10-month-old infants' (N = 64) frequency of orienting and duration of looking to caregiver and stranger faces within multi-item arrays. We also assessed whether infants' attention to these faces related to individual differences in Surgency, an indirect index of reward sensitivity. Although infants did not show biased attention to caregiver versus stranger faces at the group level, infants were increasingly biased to orient to stranger faces with age and infants with higher Surgency scores showed more robust attention orienting and attention holding biases to caregiver faces. These effects varied based on the selective attention demands of the task, suggesting that infants' attention biases to caregiver faces may reflect both developing attention control skills and reward-based attention mechanisms.
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Affiliation(s)
- Brianna Hunter
- Center for Mind and Brain, University of California Davis, Davis, California, USA
- Department of Psychology, Tulane University, New Orleans, Louisiana, USA
| | - Brooke Montgomery
- Department of Psychology, Tulane University, New Orleans, Louisiana, USA
| | - Aditi Sridhar
- Department of Psychology, Ashoka University, Sonipat, India
| | - Julie Markant
- Department of Psychology, Tulane University, New Orleans, Louisiana, USA
- Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
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2
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Liu Z, Cai L, Liu C, Seger CA. The tail of the caudate is sensitive to both gain and loss feedback during information integration categorization. Brain Cogn 2024; 178:106166. [PMID: 38733655 DOI: 10.1016/j.bandc.2024.106166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/31/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024]
Abstract
Although most category learning studies use feedback for training, little attention has been paid to how individuals utilize feedback implemented as gains or losses during categorization. We compared skilled categorization under three different conditions: Gain (earn points for correct answers), Gain and Loss (earn points for correct answers and lose points for wrong answers) and Correct or Wrong (accuracy feedback only). We also manipulated difficulty and point value, with near boundary stimuli having the highest number of points to win or lose, and stimuli far from the boundary having the lowest point value. We found that the tail of the caudate was sensitive to feedback condition, with highest activity when both Gain and Loss feedback were present and least activity when only Gain or accuracy feedback was present. We also found that activity across the caudate was affected by distance from the decision bound, with greatest activity for the near boundary high value stimuli, and lowest for far low value stimuli. Overall these results indicate that the tail of the caudate is sensitive not only to positive rewards but also to loss and punishment, consistent with recent animal research finding tail of the caudate activity in aversive learning.
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Affiliation(s)
- Zhiya Liu
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Lixue Cai
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Chen Liu
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Carol A Seger
- Center for Studies of Psychological Application, China; South China Normal University, School of Psychology, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; Colorado State University, Department of Psychology, Molecular, Cellular and Integrative Neurosciences Program, United States.
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3
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Anderson BA. Trichotomy revisited: A monolithic theory of attentional control. Vision Res 2024; 217:108366. [PMID: 38387262 DOI: 10.1016/j.visres.2024.108366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/24/2024]
Abstract
The control of attention was long held to reflect the influence of two competing mechanisms of assigning priority, one goal-directed and the other stimulus-driven. Learning-dependent influences on the control of attention that could not be attributed to either of those two established mechanisms of control gave rise to the concept of selection history and a corresponding third mechanism of attentional control. The trichotomy framework that ensued has come to dominate theories of attentional control over the past decade, replacing the historical dichotomy. In this theoretical review, I readily affirm that distinctions between the influence of goals, salience, and selection history are substantive and meaningful, and that abandoning the dichotomy between goal-directed and stimulus-driven mechanisms of control was appropriate. I do, however, question whether a theoretical trichotomy is the right answer to the problem posed by selection history. If we reframe the influence of goals and selection history as different flavors of memory-dependent modulations of attentional priority and if we characterize the influence of salience as a consequence of insufficient competition from such memory-dependent sources of priority, it is possible to account for a wide range of attention-related phenomena with only one mechanism of control. The monolithic framework for the control of attention that I propose offers several concrete advantages over a trichotomy framework, which I explore here.
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Affiliation(s)
- Brian A Anderson
- Texas A&M University, Department of Psychological & Brain Sciences, 4235 TAMU, College Station, TX 77843-4235, United States.
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4
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Ainslie G. "Switching" between fast and slow processes is just reward-based branching. Behav Brain Sci 2023; 46:e113. [PMID: 37462211 DOI: 10.1017/s0140525x22002990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Shortcuts to goals are rewarded by faster attainment and punished by more frequent failure, so selection of the various kinds - heuristics, cached sequences (habits or macros), gut instincts - depends on reward history just like other kinds of choice. The speeds of shortcuts lie on continua along with speeds of deliberation, and these continua have no obvious separation points.
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5
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Kim H, Anderson BA. Primary rewards and aversive outcomes have comparable effects on attentional bias. Behav Neurosci 2023; 137:89-94. [PMID: 36521140 PMCID: PMC10033370 DOI: 10.1037/bne0000543] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Attention is biased toward stimuli previously associated with reward. The same is true for aversive conditioning; stimuli previously associated with an aversive outcome also bias attention, suggesting that motivational salience guides attention. Most research that supports this conclusion has manipulated monetary gain-a secondary reinforcer-for reward learning, and electric shocks-a primary punisher-for aversive conditioning, making it difficult to directly compare their influence on attention. Therefore, in the present study, we matched for reinforcer dimensions by using primary taste as reinforcers/punishers and assessed their influence on attention. In a training phase, participants learned to associate three colors with sweet juice (reward), salt water (aversive), and no outcome (neutral), respectively. The two primary reinforcers were equated for valence based on choices made in a prior decision-making task. In a later test phase, these three colors were used for targets and distractors in a task in which participants oriented to a shape-defined target. An attentional bias in favor of the aversively conditioned and reward-associated colors was evident when comparing to the neutral color. Importantly, a direct comparison of rewarded and aversive stimuli revealed no significant differences. These results suggest that when matched for reinforcer dimensions and valence, reward and aversive outcomes bias attention in a similar manner and their effects are comparable, providing further evidence in support of the motivational salience account of learning-dependent attention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Haena Kim
- Department of Psychological and Brain Sciences
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Zhang Y, Chen Y, Xin Y, Peng B, Liu S. Norepinephrine system at the interface of attention and reward. Prog Neuropsychopharmacol Biol Psychiatry 2023; 125:110751. [PMID: 36933778 DOI: 10.1016/j.pnpbp.2023.110751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 03/20/2023]
Abstract
Reward learning is key to survival for individuals. Attention plays an important role in the rapid recognition of reward cues and establishment of reward memories. Reward history reciprocally guides attention to reward stimuli. However, the neurological processes of the interplay between reward and attention remain largely elusive, due to the diversity of the neural substrates that participate in these two processes. In this review, we delineate the complex and differentiated locus coeruleus norepinephrine (LC-NE) system in relation to different behavioral and cognitive substrates of reward and attention. The LC receives reward related sensory, perceptual, and visceral inputs, releases NE, glutamate, dopamine and various neuropeptides, forms reward memories, drives attentional bias and selects behavioral strategies for reward. Preclinical and clinical studies have found that abnormalities in the LC-NE system are involved in a variety of psychiatric conditions marked by disturbed functions in reward and attention. Therefore, we propose that the LC-NE system is an important hub in the interplay between reward and attention as well as a critical therapeutic target for psychiatric disorders characterized by compromised functions in reward and attention.
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Affiliation(s)
- Yuxiao Zhang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Changning Mental Health Center, Shanghai 200335, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China
| | - Yan Chen
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Changning Mental Health Center, Shanghai 200335, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China
| | - Yushi Xin
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Beibei Peng
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - Shuai Liu
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Changning Mental Health Center, Shanghai 200335, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China.
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7
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Ogden A, Kim H, Anderson BA. Combined influence of valence and statistical learning on the control of attention II: Evidence from within-domain additivity. Atten Percept Psychophys 2023; 85:277-283. [PMID: 36536205 PMCID: PMC10319402 DOI: 10.3758/s13414-022-02622-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
Attention is biased in favor of stimuli that signal either threat or reward; this experience-dependent attentional bias develops via associative learning and persists into extinction. Physically salient yet task-irrelevant stimuli are also prioritized by the attention system, but the attentional priority of a physically salient distractor can be suppressed when it appears in a location in which it has been frequently encountered in the past. Similar effects of statistical learning on distractor suppression have been observed for distractors appearing in a predictable color. A pair of recent studies demonstrate that statistically learned distractor suppression and valence-based attentional biases combine additively, suggesting independent influences of learning on attentional priority. One limitation of these prior studies, however, is that the effects of statistical learning were defined with respect to spatial attention and the effects of associative learning with respect to feature-based attention. A strong version of the independence account would predict additive influences on attention even when both sources of priority are represented within a single domain of attentional control, which we tested in the present study. The attentional priority of a distractor was elevated when its color was previously associated with electric shock and reduced when its shape was frequently encountered as a distractor in a prior training phase, with these two influences on priority combining additively. Our findings provide strong evidence for the idea that statistical learning and valance-based associative learning exert independent influences on the control of attention, which has implications for contemporary theories of selection history.
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Affiliation(s)
- Alex Ogden
- Department of Psychological & Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA
| | - Haena Kim
- Department of Psychological & Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA
| | - Brian A Anderson
- Department of Psychological & Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA.
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8
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Kim H, Anderson BA. On the Relationship between Value- and Threat-Driven Attentional Capture and Approach-Avoidance Biases. Brain Sci 2023; 13:brainsci13020158. [PMID: 36831701 PMCID: PMC9954098 DOI: 10.3390/brainsci13020158] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/29/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
Reward learning and aversive conditioning have consequences for attentional selection, such that stimuli that come to signal reward and threat bias attention regardless of their valence. Appetitive and aversive stimuli have distinctive influences on response selection, such that they activate an approach and an avoidance response, respectively. However, whether the involuntary influence of reward- and threat-history-laden stimuli extends to the manner in which a response is directed remains unclear. Using a feedback-joystick task and a manikin task, which are common paradigms for examining valence-action bias, we demonstrate that reward- and threat-signalling stimuli do not modulate response selection. Stimuli that came to signal reward and threat via training biased attention and invigorated action in general, but they did not facilitate an approach and avoidance response, respectively. We conclude that attention can be biased towards a stimulus as a function of its prior association with reward or aversive outcomes without necessarily influencing approach vs. avoidance tendencies, such that the mechanisms underlying the involuntary control of attention and behaviour evoked by valent stimuli can be decoupled.
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9
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Verghese JP, Terry A, de Natale ER, Politis M. Research Evidence of the Role of the Glymphatic System and Its Potential Pharmacological Modulation in Neurodegenerative Diseases. J Clin Med 2022; 11:jcm11236964. [PMID: 36498538 PMCID: PMC9735716 DOI: 10.3390/jcm11236964] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/07/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
The glymphatic system is a unique pathway that utilises end-feet Aquaporin 4 (AQP4) channels within perivascular astrocytes, which is believed to cause cerebrospinal fluid (CSF) inflow into perivascular space (PVS), providing nutrients and waste disposal of the brain parenchyma. It is theorised that the bulk flow of CSF within the PVS removes waste products, soluble proteins, and products of metabolic activity, such as amyloid-β (Aβ). In the experimental model, the glymphatic system is selectively active during slow-wave sleep, and its activity is affected by both sleep dysfunction and deprivation. Dysfunction of the glymphatic system has been proposed as a potential key driver of neurodegeneration. This hypothesis is indirectly supported by the close relationship between neurodegenerative diseases and sleep alterations, frequently occurring years before the clinical diagnosis. Therefore, a detailed characterisation of the function of the glymphatic system in human physiology and disease would shed light on its early stage pathophysiology. The study of the glymphatic system is also critical to identifying means for its pharmacological modulation, which may have the potential for disease modification. This review will critically outline the primary evidence from literature about the dysfunction of the glymphatic system in neurodegeneration and discuss the rationale and current knowledge about pharmacological modulation of the glymphatic system in the animal model and its potential clinical applications in human clinical trials.
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10
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Grégoire L, Mrkonja L, Anderson BA. Cross-modal generalization of value-based attentional priority. Atten Percept Psychophys 2022; 84:2423-2431. [PMID: 35978217 PMCID: PMC9633543 DOI: 10.3758/s13414-022-02551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 11/08/2022]
Abstract
This study aimed to determine whether value-based attentional biases learned in the auditory domain can correspondingly shape visual attention. A learning phase established associations between auditory words and monetary rewards via a modified version of the dichotic listening task. In a subsequent test phase, participants performed a Stroop task including written representations of auditory words previously paired with reward and semantic associates of formerly rewarded words. Results support a semantic generalization of value-driven attention from the auditory to the visual domain. The findings provide valuable insight into a critical aspect of adaptation and the understanding of maladaptive behaviors (e.g., addiction).
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Affiliation(s)
- Laurent Grégoire
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA.
| | - Lana Mrkonja
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA
| | - Brian A Anderson
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843-4235, USA
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11
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Yan M, Li Q, Long Q, Xu L, Hu N, Chen A. Evaluative distractors modulate attentional disengagement: People would rather stay longer on rewards. J Vis 2022; 22:12. [PMID: 35848902 PMCID: PMC9308013 DOI: 10.1167/jov.22.8.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Attentional disengagement is of great significance to individuals adapting to their environment who can benefit from disregarding the attraction of salient and task-irrelevant objects. Previous studies have suggested that, in addition to causing greater financial loss compared with neutral distractors, reward distractors hold attention longer than neutral distractors. However, few studies have directly compared the attentional disengagement differences between reward-associated and loss- or punishment-associated stimuli. In the current study, we used different color singleton stimuli tied to reward or punishment outcomes; the stimuli were present in the center of the screen. Participants were required to respond to a line within the target at a peripheral location. The results showed that the response to the target was slower when the central distractor was associated with a reward than with punishment. This finding reflects that, although participants understand that reward-associated and punishment-associated stimuli have an equal opportunity for the same economic benefit, they still take longer to disengage from a reward distractor compared with a punishment distractor.
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Affiliation(s)
- Minmin Yan
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,
| | - Qing Li
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,
| | - Quanshan Long
- Faculty of Education, Yunnan Normal University, Kunming, China.,
| | - Liang Xu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,
| | - Na Hu
- Department of Preschool and Special Education, Kunming University, Kunming, China.,
| | - Antao Chen
- School of Psychology, Shanghai University of Sport, Shanghai, China.,
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12
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Anderson BA, Kim H, Kim AJ, Liao MR, Mrkonja L, Clement A, Grégoire L. The past, present, and future of selection history. Neurosci Biobehav Rev 2021; 130:326-350. [PMID: 34499927 PMCID: PMC8511179 DOI: 10.1016/j.neubiorev.2021.09.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/08/2021] [Accepted: 09/02/2021] [Indexed: 01/22/2023]
Abstract
The last ten years of attention research have witnessed a revolution, replacing a theoretical dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals, physical salience, and selection history). This third new mechanism of attentional control, selection history, is multifaceted. Some aspects of selection history must be learned over time whereas others reflect much more transient influences. A variety of different learning experiences can shape the attention system, including reward, aversive outcomes, past experience searching for a target, target‒non-target relations, and more. In this review, we provide an overview of the historical forces that led to the proposal of selection history as a distinct mechanism of attentional control. We then propose a formal definition of selection history, with concrete criteria, and identify different components of experience-driven attention that fit within this definition. The bulk of the review is devoted to exploring how these different components relate to one another. We conclude by proposing an integrative account of selection history centered on underlying themes that emerge from our review.
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Affiliation(s)
- Brian A Anderson
- Texas A&M University, College Station, TX, 77843, United States.
| | - Haena Kim
- Texas A&M University, College Station, TX, 77843, United States
| | - Andy J Kim
- Texas A&M University, College Station, TX, 77843, United States
| | - Ming-Ray Liao
- Texas A&M University, College Station, TX, 77843, United States
| | - Lana Mrkonja
- Texas A&M University, College Station, TX, 77843, United States
| | - Andrew Clement
- Texas A&M University, College Station, TX, 77843, United States
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