Animal Behavior and Cognition

Brain size predicts learning abilities in bees
Miguel Á. Collado, Cristina M. Montaner, Francisco P. Molina, Daniel Sol, Ignasi Bartomeus

bioRxiv 2020.01.27.921114; doi: https://doi.org/10.1101/2020.01.27.921114 New Results

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A Dual Reward-Place Association Task to Study the Preferential Retention of Relevant Memories in Rats
Frédéric Michon, Jyh-Jang Sun, Chae Young Kim, Fabian Kloosterman

bioRxiv 2020.01.27.921593; doi: https://doi.org/10.1101/2020.01.27.921593 Confirmatory Results

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Latent space visualization, characterization, and generation of diverse vocal communication signals
Tim Sainburg, Marvin Thielk, Timothy Q Gentner

bioRxiv 870311; doi: https://doi.org/10.1101/870311 New Results

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A theory of the use of information by enemies in the predator-prey space race
Rémi Patin, Daniel Fortin, Simon Chamaillé-Jammes

bioRxiv 2020.01.25.919324; doi: https://doi.org/10.1101/2020.01.25.919324 New Results

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Time varying connectivity across the brain changes as a function of nicotine abstinence state
John R. Fedota, Thomas J. Ross, Juan Castillo, Michael R. McKenna, Allison L. Matous, Betty Jo Salmeron, Vinod Menon, Elliot A. Stein

bioRxiv 2020.01.25.917617; doi: https://doi.org/10.1101/2020.01.25.917617 New Results

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Genetic relatedness cannot explain social preferences in black-and-white ruffed lemurs (Varecia variegata)
Andrea L Baden, Timothy H Webster, Brenda J Bradley

bioRxiv 799825; doi: https://doi.org/10.1101/799825 New Results

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Similarities and differences in spatial and non-spatial cognitive maps
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck

bioRxiv 2020.01.21.914556; doi: https://doi.org/10.1101/2020.01.21.914556 New Results

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Large prospective losses lead to sub-optimal sensorimotor decisions in humans
Tyler J. Adkins, Richard L. Lewis, Taraz G. Lee

bioRxiv 406439; doi: https://doi.org/10.1101/406439 Contradictory Results

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An anti-amyloidogenic treatment to specifically block the consolidation of traumatic events in mouse
Paula López-García, Daniel Ramírez de Mingo, Kerry R. McGreevy, Anna Pallé López, Helena Akiko Popiel, Andrea Santi, Yoshitaka Nagai, José Luís Trejo, Mariano Carrión-Vázquez

bioRxiv 2020.01.21.913053; doi: https://doi.org/10.1101/2020.01.21.913053 New Results

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Deep learning based behavioral analysis enables high precision rodent tracking and is capable of outperforming commercial solutions
Oliver Sturman, Lukas von Ziegler, Christa Schläppi, Furkan Akyol, Benjamin Grewe, Johannes Bohacek

bioRxiv 2020.01.21.913624; doi: https://doi.org/10.1101/2020.01.21.913624 New Results

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Animal Behavior and Cognition

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