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Journals A-Z An Approach to Modelling Decision-Making using the Honeybee
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PUBLISHED: April 16, 2018, 3:46 pm | UPDATED: April 16, 2018, 3:46 pm North Dakota Maybe you thought about Mitt Romney and...
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Scores (response per min) in the alone condition were the same whether collected in alternation with the audience or with the coaction condition [paired t-test t(6) = 1.2, p = 0.26]. They were therefore pooled into a single alone measure and compared to the two social conditions using a parametric ANOVA with the Huynh-Feldt correction for repeated measures followed by Bonferroni post-hoc tests for repeated measure. Effect size was estimated using Cohen's d (mean difference between social and alone scores divided by the pooled within-condition standard deviation), as well as Cohen's Drm (d*SQRT(2*(1-r))), which corrects for the correlation r between measures in within-subject designs (Lakens, 2013).
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► August (20) 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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Indianapolis Colts Ice packs on belly, thighs drives “browning” of fat Honeybees possess impressive cognitive abilities in the visual domain. With dedicated training a bee can extract spatial relations between elements and thus resolve tasks based on spatial configuration recognition or relational rules. Such cognitive performance implies important abstract abilities as configuration processing or learnt relations are transferrable to totally novel stimuli except from the relations linking the elements. In addition, bees preferentially use spatial configurations over local or low-level features to recognize objects and easily detect invariant relations between visual features within complex stimuli under unsupervised learning conditions. These recently reported demonstrations raise interesting questions about the biological significance for an insect brain to invest resources in such high-level cognitive skills.
The issue of security clearances for White House employees gained prominence after Staff Secretary Rob Porter resigned following revelations that his two ex-wives had made detailed allegations of physical abuse to both the police and FBI. According to senior White… Continue Reading →
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