155 research outputs found

    What can the social emotions of dogs teach us about human emotions?

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    It has long been believed that social emotions such as guilt and jealousy are only expressed in humans. In the case of jealousy, its adaptive value has been linked to the prevention of sexual infidelity or fairness. So why would dogs feel jealousy? I suggest that understanding how social emotions have been bred into dogs can help us understand our own emotions, including their functionality — and potentially their mechanisms

    The ethological deconstruction of fear(s)

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    The natural world presents a myriad of dangers that can threaten an organism's survival. This diversity of threats is matched by a set of universal and species specific defensive behaviors which are often subsumed under the emotions of fear and anxiety. A major issue in the field of affective science, however, is that these emotions are often conflated and scientists fail to reflect the ecological conditions that gave rise to them. I attempt to clarify these semantic issues by describing the link between ethologically defined defensive strategies and fear. This in turn, provides a clearer differentiation between fears, the contexts that evoke them and how they are organized within defensive survival circuits

    The ethological deconstruction of fear(s)

    Get PDF
    The natural world presents a myriad of dangers that can threaten an organism's survival. This diversity of threats is matched by a set of universal and species specific defensive behaviors which are often subsumed under the emotions of fear and anxiety. A major issue in the field of affective science, however, is that these emotions are often conflated and scientists fail to reflect the ecological conditions that gave rise to them. I attempt to clarify these semantic issues by describing the link between ethologically defined defensive strategies and fear. This in turn, provides a clearer differentiation between fears, the contexts that evoke them and how they are organized within defensive survival circuits

    What can the social emotions of dogs teach us about human emotions?

    Get PDF
    It has long been believed that social emotions such as guilt and jealousy are only expressed in humans. In the case of jealousy, its adaptive value has been linked to the prevention of sexual infidelity or fairness. So why would dogs feel jealousy? I suggest that understanding how social emotions have been bred into dogs can help us understand our own emotions, including their functionality — and potentially their mechanisms

    Differences in Behavior and Brain Activity during Hypothetical and Real Choices

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    Real behaviors are binding consequential commitments to a course of action, such as harming another person, buying an Apple watch, or fleeing from danger. Cognitive scientists are generally interested in the psychological and neural processes that cause such real behavior. However, for practical reasons, many scientific studies measure behavior using only hypothetical or imagined stimuli. Generalizing from such studies to real behavior implicitly assumes that the processes underlying the two types of behavior are similar. We review evidence of similarity and differences in hypothetical and real mental processes. In many cases, hypothetical choice tasks give an incomplete picture of brain circuitry that is active during real choice

    Neuroethological studies of fear, anxiety, and risky decision-making in rodents and humans

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    Prey are relentlessly faced with a series of survival problems to solve. One enduring problem is predation, where the prey's answers rely on the complex interaction between actions cultivated during its life course and defense reactions passed down by descendants. To understand the proximate neural responses to analogous threats, affective neuroscientists have favored well-controlled associative learning paradigms, yet researchers are now creating semi-realistic environments that examine the dynamic flow of decision-making and escape calculations that mimic the prey's real world choices. In the context of research from the field of ethology and behavioral ecology, we review some of the recent literature in rodent and human neuroscience and discuss how these studies have the potential to provide new insights into the behavioral expression, computations, and the neural circuits that underlie healthy and pathological fear and anxiety

    Deconstructing the brain’s moral network: dissociable functionality between the temporoparietal junction and ventro-medial prefrontal cortex

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    Research has illustrated that the brain regions implicated in moral cognition comprise a robust and broadly distributed network. However, understanding how these brain regions interact and give rise to the complex interplay of cognitive processes underpinning human moral cognition is still in its infancy. We used functional magnetic resonance imaging to examine patterns of activation for ‘difficult’ and ‘easy’ moral decisions relative to matched non-moral comparators. This revealed an activation pattern consistent with a relative functional double dissociation between the temporoparietal junction (TPJ) and ventro-medial prefrontal cortex (vmPFC). Difficult moral decisions activated bilateral TPJ and deactivated the vmPFC and OFC. In contrast, easy moral decisions revealed patterns of activation in the vmPFC and deactivation in bilateral TPJ and dorsolateral PFC. Together these results suggest that moral cognition is a dynamic process implemented by a distributed network that involves interacting, yet functionally dissociable networks

    The behavioral and neural basis of foreign language effect on risk-taking

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    Recent studies show that people exhibit a reduced decision bias in a foreign language relative to their native language. However, the underlying mechanism remains unknown. Using functional magnetic resonance imaging (fMRI) combined with an even-probability gambling task in which gambling feedback was presented in either a native language or a foreign language after each decision, we assessed the neural correlates of language modulated behavioral changes in decision making. In both foreign and native language contexts, participants showed a behavioral pattern resembles the Gambler's fallacy that losing a gamble leads to more betting than winning a gamble. While there was no language difference in gambling, bilateral caudate and amygdala gain signals were exaggerated by foreign language in relative to native language, suggesting that foreign language enhanced neural responses to rewards. Moreover, the individual difference in foreign language-induced Gambler's fallacy-like decision bias was associated with activation in the right amygdala and ventromedial prefrontal cortex, as well as functional connectivity between right amygdala and right putamen/right posterior insula. Our results confirm that outcome processing in emotion-related regions may underlie individual differences in foreign language effects in judgment and decision making

    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
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