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3 episodes available. A new episode about every 149 days averaging 33 mins duration . Thus, one of the book's many subtle but electrifying revelations is that even a solo show is never truly solo, but rather is the result of a place, a time and a population of friends, rivals and influences.
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Games Table Talk ► January (23) $ 100 Aesop's Artifacts The honeybee is a prominent model for studying the neural mechanisms underlying the formation and retrieval of associative memories (Giurfa 2007). Bees can learn stimulus-reward association in a range of elemental and non-elemental paradigms and they show the learned behavior very rapidly, typically after one or two rewarded trials (Pamir et al., 2014). We device a neural network simulation of the honeybee. Our model can reproduce the observed conditioned response (CR) behavior of honeybees in a variety of classical olfactory conditioning protocols. Our network model comprises peripheral olfactory receptor neurons, the antennal lobe (AL) network, the mushroom body (MB) and the lateral horn (LH). Plasticity is included at two levels, the AL and the MB. Plasticity in the interneurons of the AL allows for a de-correlation of odor response patterns within few trials, reducing generalization across odorants during training. Plasticity in the MB underlies the formation of associations. As a result the population of MB output neurons reliably encodes the value of a stimulus, in line with previous physiological results in honeybees (Strube-Bloss, Nawrot & Menzel, 2011; Menzel 2014) and flies (Aso et al., 2014); see also companion poster #240 (Nawrot et al., 2015). We show that predictions derived from our network model match a range of behavioral data from elemental and non-elemental learning paradigms, including absolute and differential conditioning, trace conditioning, and odor patterning, retaining the rapid learning dynamics observed in the animals’ behavior.
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Software » Wordpress Reports Exporting Here we aimed at uncovering the mechanisms underlying the implication of MBs in reversal learning. We reasoned that GABAergic feedback from the output region back to the input region of the MBs might be crucial to inhibit responses to previously reinforced odors during the reversal phase. We thus performed pharmacological experiments blocked GABAergic signaling in the MBs during olfactory reversal learning, by locally injecting antagonists of ionotropic or metabotropic GABA receptors, into the calyces or the vertical lobes. Our results show that GABAergic signaling is required for reversal learning but is dispensable for elemental learning. We thus provide a circuit-based explanation of the implication of MBs role in reversal learning.
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An individual's behavior changes merely because an observer is hovering nearby. Since Allport's 1924 Social psychology (Allport, 1924), this phenomenon is referred to as “social facilitation,” a historical misnomer as others' mere presence facilitates the emission of well-learned responses but impairs the acquisition of new responses (Zajonc, 1965). Social facilitation affects all human behaviors, from food consumption (Herman, 2015) to cognition (Bond and Titus, 1983). It was initially described in presence of co-performers (coaction effect) but subsequent research demonstrated that the presence of passive spectators (audience effect) suffices to produce the same change (Stroebe, 2012). Social psychology proposed several theoretical models to explain social facilitation (Strauss, 2002) but behavior alone cannot tease them apart. Recently, we showed that cognitive neuroscience and its nonhuman primate animal model, the rhesus macaque, could help solve this long debated issue by revealing which brain functions are altered by social presence (Monfardini et al., 2015). This novel approach is currently handicapped, however, by the fact that we do not know to which extent social facilitation in rhesus macaques parallels what social psychology has taught us about human social facilitation.
Site Index Navigation Green reports that then-Denver Public Schools Superintendent (now Senator) Michael Bennet approached Republican oilman (now-University of Colorado president) Bruce Benson several years ago, opening the floodgates to unprecedented campaign contributions to Denver school board races by large Republican donors.
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