Bees display visual-cognitive capacities that in some views conform to the basic criteria of concept learning, attention, sensitivity to number and metacognition. This raises the obvious question of how such capacities may be implemented at a neuronal level in the miniature brains of insects. We need to understand the neural circuits, not just the size of brain regions, which underlie these feats. Neural network analyses show that cognitive features found in insects, such as numerosity, attention and categorisation-like processes, may require only very limited neuron numbers. Using computational models of the bees’ visual system, we explore whether seemingly advanced cognitive capacities might ‘pop out’ of the properties of relatively basic neural processes in the insect visual periphery, and their connection with the mushroom bodies, higher order learning centres in the brains of insects. 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Lots of Camera and Audio Gear - YouTube 10:10 – 10:40:  Coffee New York Giants February 16, 2011 at 12:03 AM MDT The editor and reviewers' affiliations are the latest provided on their Loop research profiles and may not reflect their situation at the time of review. Flashback to 2011: Bracelets Dog/Animal Rescue Shelters Then, we calculated for each social session, the percent change in response rate relative to the animal's average performance during alone sessions (individual Δ scores). One sample t-tests were used to determine whether these individual Δ scores significantly differed from 0, and paired t-tests to compare audience and coaction effects for each individual. Finally, because the results revealed variable Δs across groups, Pearson's correlations were used to test the idea of a link between mean Δs over the two social conditions and the degree of intimacy between observer and observee as objectivized by the index: I = years of shared housing/years of age (Table 1). 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