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Synchronized Minds: From Inter-Brain Synchronization to Theory of Collective Mind
Chen Wei, Dong Da, Pan Yafeng, Wang Yong
Journal of Psychological Science ›› 2026, Vol. 49 ›› Issue (3) : 747-755.
PDF(423 KB)
PDF(423 KB)
Synchronized Minds: From Inter-Brain Synchronization to Theory of Collective Mind
The long-held myth that “intentionality must reside within individual minds” has only been challenged in recent decades by converging evidence from comparative psychology, ethology, evolutionary psychology, and social neuroscience. This paradigm shift has inspired a novel research approach in social cognition that transcends individual neurobiological constraints, focusing instead on inter-brain interactions between individuals and collectives. The collective dimension of mental activities gives rise to the synchronized minds thesis, which posits that individual minds shape synchronized collective outcomes through conceivable and implementable social interactions.
Recent advancements in hyperscanning techniques have enabled the precise measurement and analysis of dynamic inter-brain synchronization, drawing significant attention to neural oscillations in individual cognition and social interaction. Notably, neural oscillations extend beyond individual brains to bridge biological and environmental boundaries, serving as critical mediators of interpersonal social interaction. Their role in guiding cognition and conscious experience manifests through phase locking—— the adjustment of persistent neural rhythms to external stimuli. This phase-locking mechanism proves essential for achieving genuine inter-brain synchronization, in which individuals adapt their endogenous neural rhythms to match others’ oscillatory frequencies. Comparative studies across species systematically validate the evolutionary universality of inter-brain synchronization in biological systems, while cognitive science perspectives elucidate its theoretical plausibility, collectively enriching our understanding of this phenomenon.
Based on this foundation, Shteynberg et al. put forward the viewpoint of the Theory of collective mind (TCM), which posits the capacity to attribute a unified mental state to groups sharing common experiences, including the individuals themselves. Diverging from traditional Theory of Mind’s focus on individual mental state inference, the TCM emphasizes representing group members’ mental states from a collective perspective. This capacity facilitates experiential synchronization among individuals, enabling unified yet pluralistic perspectives toward external stimuli and group mental states. Within the TCM framework, “we-representations” are categorized as representations of collective reality and collective psychology. This distinction offers novel insights into the cognitive foundations of group behavior and clarifies synchronization’s role in collective mind formation. Through the lens of TCM, group members’ minds evolve along synchronization trajectories from initial “we-intentions” to deeper “feelings of socially entitative”, partially reconstructing the fusion process from individual to collective mentality.
While conducting a comprehensive review of the phenomenon of inter-brain synchronization and its extended theoretical framework, the Theory of Collective Mind, we have actively incorporated the cutting-edge methodology of Collective Neuroscience. This integrative approach aims to provide interdisciplinary insights for understanding the new manifestation of collective intentionality embodied in TCM. This innovative paradigm employs advanced neuroimaging to investigate social animals’ brain states during collective activities, revealing the neural encoding mechanisms of collective perception. Emphasizing cross-disciplinary collaboration among biologists, psychologists, neuroscientists, engineers, and computer scientists, it utilizes predictive coding and active inference frameworks to derive testable hypotheses about synchronized minds from generative computational models. This integrative approach promises to deepen our understanding of synchronization and coordination mechanisms in social interactions.
Despite substantial progress in synchronization research, the explanatory gap between innate behaviors and learned normative actions persists. However, exploring synchronized minds helps re-examine Zahavi’s paradox of reconciling collective intentionality with individual self-consciousness——the “We in Me or Me in We” dilemma. We propose interpreting inter-brain synchronization as proto-collective intentionality, which advances a radical collective neuroscience perspective. According to this perspective, individual “I” emerges as an inference from the primordial collective “We”. Thus, the synchronized minds thesis carries potentially revolutionary implications for understanding the fundamental nature of human and animal cognition.
synchronization / collective mind / inter-brain synchronization / theory of collective mind / collective neuroscience
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受到达尔文生物进化论的深刻影响, “本能”这一概念在19世纪末至20世纪初逐渐成为人类和动物心理学的核心议题。年轻的中国发展心理生物学家郭任远在美国心理学界掀起了一场声势浩大的反本能运动。返回中国后, 他持续阐发其激进行为主义思想, 推动了“中国现代心理学史上三场争论之一”的本能论战。这场争论不仅促使艾伟、潘菽、高觉敷等心理学家纷纷参与, 还吸引了周建人、李石岑等公共知识分子的目光。郭任远的理论主张与实验工作, 桥接起了本能争论的中国与世界战场, 并激荡起诸多积极、消极与混合反应。论战加速了本能的心理学研究在方法论上从“扶手椅”迈向“实验室”, 也深陷混淆发育解释与进化解释的历史圈套。虽然郭任远及其推动的中国本能论战并没有实现对本能心理学的“完结”, 但却揭示出语义和信仰在科学研究中的认识论价值。这种理论渗透的意识形态最终确立起郭氏在行为科学史上独特的学术地位, 并为本能演变成“未完结”的、开放的科学问题提供动力。
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通过同时记录社会互动中多名个体的脑信号, 超扫描研究普遍观测到个体间脑活动信号的同步性(inter-brain synchronization, IBS)。通过共同表征和相互预测机制, 个体间相似的感觉输入、运动输出和注意唤醒等间接因素以及个体间信息传递活动会驱动IBS的产生。其中, 镜像神经元系统、心智系统和相互注意−脑间同步−奖赏环路发挥了重要作用。IBS的强弱受互动类型与强度、任务情境、人际关系、个体特征与状态的调节。IBS可能在人际动作协调、语言交流和建立社会联结方面具有功能性意义。后续研究可深入探究“共同表征”与“相互预测”机制的关系、人际“去同步”、跨脑可塑性和不同交互形式的异同等问题。
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Dance has traditionally been viewed from a Eurocentric perspective as a mode of self-expression that involves the human body moving through space, performed for the purposes of art, and viewed by an audience. In this Hypothesis and Theory article, we synthesize findings from anthropology, sociology, psychology, dance pedagogy, and neuroscience to propose The Synchronicity Hypothesis of Dance, which states that humans dance to enhance both intra- and inter-brain synchrony. We outline a neurocentric definition of dance, which suggests that dance involves neurobehavioral processes in seven distinct areas including sensory, motor, cognitive, social, emotional, rhythmic, and creative. We explore The Synchronicity Hypothesis of Dance through several avenues. First, we examine evolutionary theories of dance, which suggest that dance drives interpersonal coordination. Second, we examine fundamental movement patterns, which emerge throughout development and are omnipresent across cultures of the world. Third, we examine how each of the seven neurobehaviors increases intra- and inter-brain synchrony. Fourth, we examine the neuroimaging literature on dance to identify the brain regions most involved in and affected by dance. The findings presented here support our hypothesis that we engage in dance for the purpose of intrinsic reward, which as a result of dance-induced increases in neural synchrony, leads to enhanced interpersonal coordination. This hypothesis suggests that dance may be helpful to repattern oscillatory activity, leading to clinical improvements in autism spectrum disorder and other disorders with oscillatory activity impairments. Finally, we offer suggestions for future directions and discuss the idea that our consciousness can be redefined not just as an individual process but as a shared experience that we can positively influence by dancing together.
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From the rapidly expanding spiral waves exhibited by colonies of giant honeybees to the ripples of light that cross a turning school of fish, synchrony proves essential to the lives of group-living organisms. Here I consider what we know about the mechanisms and adaptive value of synchronization among animals, as well as outlining open questions that, if answered, could advance our understanding of the functional complexity of animal collectives.Copyright © 2018 Elsevier Ltd. All rights reserved.
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Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method. We review the type of methods (fMRI, M/EEG, and fNIRS) that are used to measure brain activity from more than one participant simultaneously and weigh their pros and cons for hyperscanning. Further, we discuss different types of analyses that are used to estimate brain networks and synchronization. Lastly, we present results of hyperscanning studies in the context of different cognitive functions and their relations to social interactions. All in all, we aim to comprehensively present methods, analyses, and results from the last 20 years of hyperscanning research.Copyright © 2020 Czeszumski, Eustergerling, Lang, Menrath, Gerstenberger, Schuberth, Schreiber, Rendon and König.
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Social interactions involve complex decision-making tasks that are shaped by dynamic, mutual feedback between participants. An open question is whether and how emergent properties may arise across brains of socially interacting individuals to influence social decisions. By simultaneously performing microendoscopic calcium imaging in pairs of socially interacting mice, we find that animals exhibit interbrain correlations of neural activity in the prefrontal cortex that are dependent on ongoing social interaction. Activity synchrony arises from two neuronal populations that separately encode one's own behaviors and those of the social partner. Strikingly, interbrain correlations predict future social interactions as well as dominance relationships in a competitive context. Together, our study provides conclusive evidence for interbrain synchrony in rodents, uncovers how synchronization arises from activity at the single-cell level, and presents a role for interbrain neural activity coupling as a property of multi-animal systems in coordinating and sustaining social interactions between individuals.Copyright © 2019 Elsevier Inc. All rights reserved.
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Social neuroscience has often been criticized for approaching the investigation of the neural processes that enable social interaction and cognition from a passive, detached, third-person perspective, without involving any real-time social interaction. With the emergence of second-person neuroscience, investigators have uncovered the unique complexity of neural-activation patterns in actual, real-time interaction. Social cognition that occurs during social interaction is fundamentally different from that unfolding during social observation. However, it remains unclear how the neural correlates of social interaction are to be interpreted. Here, we leverage the active-inference framework to shed light on the mechanisms at play during social interaction in second-person neuroscience studies. Specifically, we show how counterfactually rich mutual predictions, real-time bodily adaptation, and policy selection explain activation in components of the default mode, salience, and frontoparietal networks of the brain, as well as in the basal ganglia. We further argue that these processes constitute the crucial neural processes that underwrite bona fide social interaction. By placing the experimental approach of second-person neuroscience on the theoretical foundation of the active-inference framework, we inform the field of social neuroscience about the mechanisms of real-life interactions. We thereby contribute to the theoretical foundations of empirical second-person neuroscience.
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This article investigates the relationship between emotional sharing and the extended mind thesis. We argue that shared emotions are socially extended emotions that involve a specific type of constitutive integration between the participating individuals' emotional experiences. We start by distinguishing two claims, the Environmentally Extended Emotion Thesis and the Socially Extended Emotion Thesis (Sect. 1). We then critically discuss some recent influential proposals about the nature of shared emotions (Sect. 2). Finally, in Sect. 3, we motivate two conditions that an account of shared emotions ought to accommodate: (i) Reciprocal Other-awareness and (ii) Integration. Consideration of (ii) and discussion of relational accounts of joint attention lead us to the proposal that a construal of socially extended emotions in terms of a constitutive integration of the participating individuals' experiences is more promising than proposals that simply appeal to various forms of social situatedness, embeddedness, or scaffolding.
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<p><i>Background</i>: Self-sustained oscillations are a ubiquitous and vital phenomenon in living systems. From primitive single-cellular bacteria to the most sophisticated organisms, periodicities have been observed in a broad spectrum of biological processes such as neuron firing, heart beats, cell cycles, circadian rhythms, etc. Defects in these oscillators can cause diseases from insomnia to cancer. Elucidating their fundamental mechanisms is of great significance to diseases, and yet challenging, due to the complexity and diversity of these oscillators.</p> <p><i>Results</i>: Approaches in quantitative systems biology and synthetic biology have been most effective by simplifying the systems to contain only the most essential regulators. Here, we will review major progress that has been made in understanding biological oscillators using these approaches. The quantitative systems biology approach allows for identification of the essential components of an oscillator in an endogenous system. The synthetic biology approach makes use of the knowledge to design the simplest, <i>de novo</i> oscillators in both live cells and cell-free systems. These synthetic oscillators are tractable to further detailed analysis and manipulations.</p> <p><i>Conclusion</i>: With the recent development of biological and computational tools, both approaches have made significant achievements.</p>
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How do team leaders and followers synchronize their behaviors and brains to effectively manage intergroup conflicts? Zhang and colleagues offered a collective neurobehavioral narrative that delves into the intricacies of intergroup conflict. Their results underscore the importance of leaders' group-oriented actions, along with leader-follower synchronization, in intergroup conflict resolution.Copyright © 2023 Elsevier Ltd. All rights reserved.
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Premotor predictions facilitate vocal interactions. Here, we study such mechanisms in the forebrain nucleus HVC (proper name), a cortex-like sensorimotor area of songbirds, otherwise known for being essential for singing in zebra finches. To study the role of the HVC in calling interactions between male and female mates, we used wireless telemetric systems for simultaneous measurement of neuronal activity of male zebra finches and vocalizations of males and females that freely interact with each other. In a non-social context, male HVC neurons displayed stereotypic premotor activity in relation to active calling and showed auditory-evoked activity to hearing of played-back female calls. In a social context, HVC neurons displayed auditory-evoked activity to hearing of female calls only if that neuron showed activity preceding the upcoming female calls. We hypothesize that this activity preceding the auditory-evoked activity in the male HVC represents a neural correlate of behavioral anticipation, predictive activity that helps to coordinate vocal communication between social partners. Most social-living vertebrates produce large numbers of calls per day, and the calls have prominent roles in social interactions. Here, we show neuronal mechanisms that are active during call-based vocal communication of zebra finches, a highly social songbird species. HVC, a forebrain nucleus known for its importance in control of learned vocalizations of songbirds, displays predictive activity that may enable the male to adjust his own calling pattern to produce very fast sequences of male female call exchanges.Copyright © 2020 Ma et al.
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Humans can rapidly detect regular patterns (i.e., within few cycles) without any special attention to the acoustic environment. This suggests that human sensory systems are equipped with a powerful mechanism for automatically predicting forthcoming stimuli to detect regularity. It has recently been hypothesized that the neural basis of sensory predictions exists for not only what happens (predictive coding) but also when a particular stimulus occurs (predictive timing). Here, we hypothesize that the phases of neural oscillations are critical in predictive timing, and these oscillations are modulated in a band-specific manner when acoustic patterns become predictable, i.e., regular. A high-density microelectrode array (10 x 10 within 4 x 4 mm(2)) was used to characterize spatial patterns of band-specific oscillations when a random-tone sequence was switched to a regular-tone sequence. Increasing the regularity of the tone sequence enhanced phase locking in a band-specific manner, notwithstanding the type of the regular sound pattern. Gamma-band phase locking increased immediately after the transition from random to regular sequences, while beta-band phase locking gradually evolved with time after the transition. The amplitude of the tone-evoked response, in contrast, increased with frequency separation with respect to the prior tone, suggesting that the evoked-response amplitude encodes sequence information on a local scale, i.e., the local order of tones. The phase locking modulation spread widely over the auditory cortex, while the amplitude modulation was confined around the activation foci. Thus, our data suggest that oscillatory phase plays a more important role than amplitude in the neuronal detection of tone sequence regularity, which is closely related to predictive timing. Furthermore, band-specific contributions may support recent theories that gamma oscillations encode bottom-up prediction errors, whereas beta oscillations are involved in top-down prediction.
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The study of the brain mechanisms underpinning social behavior is currently undergoing a paradigm shift, moving its focus from single individuals to the real-time interaction among groups of individuals. Although this development opens unprecedented opportunities to study how interpersonal brain activity shapes behaviors through learning, there have been few direct connections to the rich field of learning science. Our article examines how the rapidly developing field of interpersonal neuroscience is (and could be) contributing to our understanding of social learning. To this end, we first review recent research extracting indices of brain-to-brain coupling (BtBC) in the context of social behaviors and, in particular, social learning. We then discuss how studying communicative behaviors during learning can aid the interpretation of BtBC and how studying BtBC can inform our understanding of such behaviors. We then discuss how BtBC and communicative behaviors collectively can predict learning outcomes, and we suggest several causative and mechanistic models. Finally, we highlight key methodological and interpretational challenges as well as exciting opportunities for integrating research in interpersonal neuroscience with social learning, and we propose a multiperson framework for understanding how interpersonal transmission of information between individual brains shapes social learning.
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Sociality has profound evolutionary roots and is observed from unicellular organisms to multicellular animals. In line with the view that social principles apply across levels of biological complexity, a growing body of data highlights the remarkable social nature of mitochondria - life-sustaining endosymbiotic organelles with their own genome that populate the cell cytoplasm. Here, we draw from organizing principles of behavior in social organisms to reveal that similar to individuals among social networks, mitochondria communicate with each other and with the cell nucleus, exhibit group formation and interdependence, synchronize their behaviors, and functionally specialize to accomplish specific functions within the organism. Mitochondria are social organelles. The extension of social principles across levels of biological complexity is a theoretical shift that emphasizes the role of communication and interdependence in cell biology, physiology, and neuroscience. With the help of emerging computational methods capable of capturing complex dynamic behavioral patterns, the implementation of social concepts in mitochondrial biology may facilitate cross-talk across disciplines towards increasingly holistic and accurate models of human health.Copyright © 2020. Published by Elsevier Ltd.
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Although a large proportion of our lives are spent participating in social interactions, the investigation of the neural mechanisms supporting these interactions has largely been restricted to situations of social observation - that is, situations in which an individual observes a social stimulus without opportunity for interaction. In recent years, efforts have been made to develop a truly social, or 'second-person', neuroscientific approach to these investigations in which neural processes are examined within the context of a real-time reciprocal social interaction. These developments have helped to elucidate the behavioural and neural mechanisms of social interactions; however, further theoretical and methodological innovations are still needed. Findings to date suggest that the neural mechanisms supporting social interaction differ from those involved in social observation and highlight a role of the so-called 'mentalizing network' as important in this distinction. Taking social interaction seriously may also be particularly important for the advancement of the neuroscientific study of different psychiatric conditions.
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The electroencephalogram (EEG) bears the possibility to investigate oscillatory processes in the human brain. In the animal brain it has been shown that the phase of cortical oscillations is related to the exact timing of neural activity. The potential role of oscillatory phase and phase synchronization for the explanation of cortical information processing has been largely underestimated in the human EEG until now. Here it is argued that EEG phase (synchronization) reflects the exact timing of communication between distant but functionally related neural populations, the exchange of information between global and local neuronal networks, and the sequential temporal activity of neural processes in response to incoming sensory stimuli. Three different kinds of phase synchronization are discussed: (i) phase coupling between brain sites, (ii) phase synchronization across frequencies, and (iii) phase-locking to external events. In this review recent work is presented demonstrating that EEG phase synchronization provides valuable information about the neural correlates of various cognitive processes, and that it leads to a better understanding of how memory and attention processes are interrelated.
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Contemporary research on human sociality is heavily influenced by the social identity approach, positioning social categorization as the primary mechanism governing social life. Building on the distinction between agency and identity in the individual self (“I” vs. “Me”), we emphasize the analogous importance of distinguishing collective agency from collective identity (“We” vs. “Us”). While collective identity is anchored in the unique characteristics of group members, collective agency involves the adoption of a shared subjectivity that is directed toward some object of our attention, desire, emotion, belief, or action. These distinct components of the collective self are differentiated in terms of their mental representations, neurocognitive underpinnings, conditions of emergence, mechanisms of social convergence, and functional consequences. Overall, we show that collective agency provides a useful complement to the social categorization approach, with unique implications for multiple domains of human social life, including collective action, responsibility, dignity, violence, dominance, ritual, and morality.
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Theory of mind research has traditionally focused on the ascription of mental states to a single individual. Here, we introduce a theory of collective mind: the ascription of a unified mental state to a group of agents with convergent experiences. Rather than differentiation between one's personal perspective and that of another agent, a theory of collective mind requires perspectival unification across agents. We review recent scholarship across the cognitive sciences concerning the conceptual foundations of collective mind representations and their empirical induction through the synchronous arrival of shared information. Research suggests that representations of a collective mind cause psychological amplification of co-attended stimuli, create relational bonds, and increase cooperation, among co-attendees.Copyright © 2023 Elsevier Ltd. All rights reserved.
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Neuronal systems have a high propensity to engage in oscillatory activity because both the properties of individual neurons and canonical circuit motifs favour rhythmic activity. In addition, coupled oscillators can engage in a large variety of dynamical regimes, ranging from synchronization with different phase offsets to chaotic behaviour. Which regime prevails depends on differences between preferred oscillation frequencies, coupling strength and coupling delays. The ability of delay coupled oscillator networks to generate a rich repertoire of temporally structured activation sequences is exploited by central pattern generator networks for the control of movements. However, it is less clear whether temporal patterning of neuronal discharges also plays a role in cognitive processes. Here, it will be argued that the temporal patterning of neuronal discharges emerging from delay coupled oscillator networks plays a pivotal role in all instances in which selective relations have to be established between the responses of distributed assemblies of neurons. Examples are the dynamic formation of functional networks, the selective routing of activity in densely interconnected networks, the attention-dependent selection of sensory signals, the fast and context-dependent binding of responses for further joint processing in pattern recognition and the formation of associations by learning. Special consideration is given to arguments that challenge a functional role of oscillations and synchrony in cognition because of the volatile nature of these phenomena and recent evidence will be reviewed suggesting that this volatility is functionally advantageous.© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
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[Figure: see text].
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Cognitive neuroscience seeks to discover the biological foundations of the human mind. One goal is to explain how mental operations are generated by the information processing architecture of the human brain. Our aim is to assess whether this is a well-defined objective. Our contention will be that it is not because the information processing of any given individual is not contained entirely within that individual’s brain. Rather, it typically includes components situated in the heads of others, in addition to being distributed across parts of the individual’s body and physical environment. Our focus here will be on cognition distributed across individuals, or on what we call the “community of knowledge,” the challenge that poses for reduction of cognition to neurobiology and the contribution of cognitive neuroscience to the study of communal processes.
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Research on human cooperation has concentrated on the puzzle of altruism, in which 1 actor incurs a cost to benefit another, and the psychology of reciprocity, which evolved to solve this problem. We examine the complementary puzzle of mutualism, in which actors can benefit each other simultaneously, and the psychology of coordination, which ensures such benefits. Coordination is facilitated by common knowledge: the recursive belief state in which A knows X, B knows X, A knows that B knows X, B knows that A knows X, ad infinitum. We test whether people are sensitive to common knowledge when deciding whether to engage in risky coordination. Participants decided between working alone for a certain profit and working together for a potentially higher profit that they would receive only if their partner made the same choice. Results showed that more participants attempted risky coordination when they and their prospective partner had common knowledge of the payoffs (broadcast over a loudspeaker) than when they had only shared knowledge (conveyed to both by a messenger) or private knowledge (revealed to each partner separately). These results support the hypothesis that people represent common knowledge as a distinct cognitive category that licenses them to coordinate with others for mutual gain. We discuss how this hypothesis can provide a unified explanation for diverse phenomena in human social life, including recursive mentalizing, performative speech acts, public protests, hypocrisy, and self-conscious emotional expressions.2014 APA, all rights reserved
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Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are 'exhaust fumes' of more relevant processes. Here, we approach the question of whether oscillations are functional or epiphenomenal by distinguishing between measurements and processes, and by reviewing whether causal or inferentially useful links exist between field potentials, electric fields, and neurobiological events. We introduce a vocabulary for the role of brain signals and their underlying processes, demarcating oscillations as a distinct entity where both processes and measurements can exhibit periodicity. Leveraging this distinction, we suggest that electric fields, oscillating or not, are causally and computationally relevant, and that field potential signals can carry information even without causality.Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.
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Individuals immersed in groups sometimes lose their individuality, take risks they would normally avoid and approach outsiders with unprovoked hostility. In this study, we identified within-group neural synchronization in the right dorsolateral prefrontal cortex (rDLPFC) and the right temporoparietal junction (rTPJ) as a candidate mechanism underlying intergroup hostility. We organized 546 individuals into 91 three-versus-three-person intergroup competitions, induced in-group bonding or no-bonding control manipulation and measured neural activity and within-group synchronization using functional near-infrared spectroscopy. After in-group bonding (versus control), individuals gave more money to in-group members than to out-group members and contributed more money to outcompete their rivals. In-group bonding decreased rDLPFC activity and increased functional connectivity between the rDLPFC and the rTPJ. Especially during the out-group attack, in-group bonding also increased within-group synchronization in both the rDLPFC and the rTPJ, and within-group rDLPFC synchronization positively correlated with intergroup hostility. Within-group synchronized reduction in prefrontal activity might explain how in-group bonding leads to impulsive and collective hostility toward outsiders.
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The article takes issue with the proposal that dominant accounts of collective intentionality suffer from an individualist bias and that one should instead reverse the order of explanation and give primacy to the we and the community. It discusses different versions of thecommunity firstview and argues that they fail because they operate with too simplistic a conception of what it means to be a self and misunderstand what it means to be (part of) a we. In presenting this argument, the article seeks to demonstrate that a thorough investigation of collective intentionality has to address the status and nature of the we, and that doing so will require an analysis of the relation between the we and the I, which in turn will call for a more explicit engagement with the question of selfhood than is customary in contemporary discussions of collective intentionality.
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Social interactions occur between multiple individuals, but what is the detailed relationship between the neural dynamics across their brains? To address this question across timescales and levels of neural activity, we used wireless electrophysiology to simultaneously record from pairs of bats engaged in a wide range of natural social interactions. We found that neural activity was remarkably correlated between their brains over timescales from seconds to hours. The correlation depended on a shared social environment and was most prominent in high frequency local field potentials (>30 Hz), followed by local spiking activity. Furthermore, the degree of neural correlation covaried with the extent of social interactions, and an increase in correlation preceded their initiation. These results show that inter-brain correlation is an inherent feature of natural social interactions, reveal the domain of neural activity where it is most prominent, and provide a foundation for studying its functional role in social behaviors.Copyright © 2019 Elsevier Inc. All rights reserved.
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