Top 3 Biorxiv Papers Today in Animal Behavior And Cognition


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#1. A minimal 3D model of mosquito flight behavior around the human baited bed net
Jeff Jones, Gregory D Murray, Philip J McCall
Advances in digitized video-tracking and behavioral analysis have enabled accurate recording and quantification of mosquito flight and host-seeking behaviors, enabling development of Individual (agent) Based Models at much finer spatial scales than previously possible. We used such quantified behavioral parameters to create a novel virtual testing model, capable of accurately simulating indoor flight behavior by a virtual population of host-seeking mosquitoes as it interacts with and responds to simulated stimuli from a human-occupied bed net. We describe the model, including base mosquito behavior, state transitions, environmental representation and host stimulus representation. In the absence of a bed net and human bait, flight distribution of the model population is relatively uniform in the arena. Introducing an unbaited net induces a change in distribution due to landing events on the net surface, predominantly occurring on the sides and edges of the net. Presence of simulated human baited net strongly impacted flight...
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#2. Deep learning based behavioral analysis enables high precision rodent tracking and is capable of outperforming commercial solutions
Oliver Sturman, Lukas Matthias von Ziegler, Christa Schälppi, Furkan Akyol, Benjamin Friedrich Grewe, Johannes Bohacek
To study brain function, preclinical research relies heavily on animal monitoring and the subsequent analyses of behavior. Commercial platforms have enabled semi high-throughput behavioral analyses by providing accurate tracking of animals, yet they often struggle with the analysis of ethologically relevant behaviors and lack the flexibility to adapt to variable testing environments. In the last couple of years, substantial advances in deep learning and machine vision have given researchers the ability to take behavioral analysis entirely into their own hands. Here, we directly compare the performance of commercially available platforms (Ethovision XT14, Noldus; TSE Multi Conditioning System, TSE Systems) to cross-verified human annotation. To this end, we provide a set of videos - carefully annotated by several human raters - of three widely used behavioral tests (open field, elevated plus maze, forced swim test). Using these data, we show that by combining deep learning-based motion tracking (DeepLabCut) with simple...
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#3. An Anti-amyloidogenic treatment to specifically block the consolidation of traumatic events in mouse
Paula Lopez-Garcia, Daniel Ramirez de Mingo, Kerry R. McGreevy, Anna Palle Lopez, Helena A. Popiel, Andrea Santi, Yoshitaka Nagai, Jose Luis Trejo, Mariano Carrion-Vazquez
Post-traumatic stress disorder (PTSD) is a mental health disorder triggered by the exposure to a traumatic event that manifests with anguish, intrusive memories and negative mood changes. So far, there is no efficient treatment for PTSD other than symptomatic palliative care. Based on the implication of the functional amyloid cytoplasmic polyadenylation element binding protein-3 (CPEB3) in the consolidation of memory, we propose its active amyloid state as a possible therapeutic target by blocking the consolidation of traumatic memories through polyglutamine binding peptide 1 (QBP1), an inhibitor of the amyloid oligomerization previously investigated in Drosophila . To test this idea in mammals, here we have developed a transgenic mouse that constitutively expresses QBP1 peptide. We first assessed the innocuousness of this peptide for the normal development of the animal, which also showed normal locomotor activity and anxiety. By performing a battery of standard memory paradigms, we then showed that hippocampal-dependent and...
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biorxivpreprint: An Anti-amyloidogenic treatment to specifically block the consolidation of traumatic events in mouse https://t.co/58VOX0uNHE #bioRxiv
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