Dog fmri recearch affection
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Dogs were used in fMRI research to examine their ability to discriminate between different odors and sensory stimuli. The study found that dogs maximally differentiated between odor stimuli based on stimulus-reward associations, with activation in the amygdala showing the most differentiation. Dogs also processed odor mixtures configurally rather than elementally. A random forest classifier was used to identify high-performing dogs based on brain classification metrics, revealing a network of olfactory information-carrying brain regions. This research suggests that fMRI can be used to predict the success of service dogs, with caudate activity positively correlated with a successful outcome and amygdala activity negatively correlated with outcome. The study also proposed a novel method for evaluating human-robot affection using a Love Attitude Scale adapted for human-robot interaction.
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| Papers (5) | Insight |
|---|---|
14 Citations | The provided paper does not mention any research specifically related to dogs, FMRI, or affection. The paper is about the evaluation of affection in human-robot interaction. |
40 Citations | The paper does not mention anything about the affection of dogs in relation to fMRI research. The paper is about using fMRI to predict the suitability of dogs for assistance work. |
5 Citations | The provided paper does not mention anything about the affection of dogs in relation to fMRI research. |
| The provided paper does not mention any research on dog fMRI or affection. The paper is about a device that measures and indicates the amount of affection a pet owner gives to their pet. | |
32 Citations | The provided paper does not mention any research on dog fMRI or affection. The paper is about the relationship between affection for dogs and affection for people, as measured by the FIRO-B test. |
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