9 research outputs found

    How Dynamic Brain Networks Tune Social Behavior in Real Time

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    During social interaction, the brain has the enormous task of interpreting signals that are fleeting, subtle, contextual, abstract, and often ambiguous. Despite the signal complexity, the human brain has evolved to be highly successful in the social landscape. Here, we propose that the human brain makes sense of noisy dynamic signals through accumulation, integration, and prediction, resulting in a coherent representation of the social world. We propose that successful social interaction is critically dependent on a core set of highly connected hubs that dynamically accumulate and integrate complex social information and, in doing so, facilitate social tuning during moment-to-moment social discourse. Successful interactions, therefore, require adaptive flexibility generated by neural circuits composed of highly integrated hubs that coordinate context-appropriate responses. Adaptive properties of the neural substrate, including predictive and adaptive coding, and neural reuse, along with perceptual, inferential, and motivational inputs, provide the ingredients for pliable, hierarchical predictive models that guide our social interactions

    Neural encoding of socially adjusted value during competitive and hazardous foraging

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    In group foraging organisms, optimizing the conflicting demands of competitive food loss and safety is critical. We demonstrate that humans select competition avoidant and risk diluting strategies during foraging depending on socially adjusted value. We formulate a mathematically grounded quantification of socially adjusted value in foraging environments and show using multivariate fMRI analyses that socially adjusted value is encoded by mid-cingulate and ventromedial prefrontal cortices, regions that integrate value and action signals

    Seven Computations of the Social Brain

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    The social environment presents the human brain with the most complex of information processing demands. The computations that the brain must perform occur in parallel, combine social and nonsocial cues, produce verbal and non-verbal signals, and involve multiple cognitive systems; including memory, attention, emotion, learning. This occurs dynamically and at timescales ranging from milliseconds to years. Here, we propose that during social interactions, seven core operations interact to underwrite coherent social functioning; these operations accumulate evidence efficiently – from multiple modalities – when inferring what to do next. We deconstruct the social brain and outline the key components entailed for successful human social interaction. These include (1) social perception; (2) social inferences, such as mentalizing; (3) social learning; (4) social signaling through verbal and non-verbal cues; (5) social drives (e.g., how to increase one’s status); (6) determining the social identity of agents, including oneself; and (7) minimizing uncertainty within the current social context by integrating sensory signals and inferences. We argue that while it is important to examine these distinct aspects of social inference, to understand the true nature of the human social brain, we must also explain how the brain integrates information from the social world

    Dopey dopamine: high tonic results in ironic performance

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    Financial incentives are commonly used as motivational tools to enhance performance. Decades of research have established that the neurotransmitter dopamine (DA) is the fuel that propels reward-motivated behavior, yet a new PET study questions whether dopamine is beneficial to performance, showing that tonic DA synthesis predicts performance decrements when incentives are high

    Dopey dopamine: high tonic results in ironic performance

    No full text
    Financial incentives are commonly used as motivational tools to enhance performance. Decades of research have established that the neurotransmitter dopamine (DA) is the fuel that propels reward-motivated behavior, yet a new PET study questions whether dopamine is beneficial to performance, showing that tonic DA synthesis predicts performance decrements when incentives are high

    Detecting and Responding to Threats in the Natural World

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    Organisms that evolved nervous systems that predict, detect, and assess ecological dangers are at a distinct survival advantage compared to those with less sophisticated neural machinery. The strategies generated and honed by adaptive survival circuits in humans, which we call the survival optimization system (SOS), are controlled by both conscious and implicit systems

    Detecting and Responding to Threats in the Natural World

    No full text
    Organisms that evolved nervous systems that predict, detect, and assess ecological dangers are at a distinct survival advantage compared to those with less sophisticated neural machinery. The strategies generated and honed by adaptive survival circuits in humans, which we call the survival optimization system (SOS), are controlled by both conscious and implicit systems

    The ecology of human fear: survival optimization and the nervous system

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