Top 3 Biorxiv Papers Today
in Animal Behavior And Cognition
Studying how neural circuits orchestrate limbed behaviors requires the precise measurement of pose-the positions of each appendage-in 3-dimensional (3D) space. Recent advances in computer vision and machine learning have made it possible to use deep neural networks to estimate 2-dimensional (2D) pose in freely behaving and tethered animals. However, the unique challenges associated with transforming these measurements into reliable and precise 3D poses have not been addressed for small animals including the fly, Drosophila melanogaster. Here we present DeepFly3D, a computational pipeline for inferring the 3D pose of tethered, adult Drosophila using multiple camera images. First, we introduce an approach for multiple-camera calibration using the animal itself rather than the typical checkerboard or similar external apparatus. Second, we present an iterative approach that robustly infers 3D pose using graphical models and deep-learning based 2D predictions from multiple cameras. False predictions are rejected using an optimization...
DeepFly3D: A deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila https://t.co/ZulqoClXzk #bioRxiv
DeepFly3D: A deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
Includes GUI and 3D pose estimation pipeline for tethered Drosophila.
Open Issues: 0
: [6, 29, 6, 30, 4, 20, 4, 23, 6, 29, 6, 30, 4, 20, 4, 23]
Total Words: 10659
Unqiue Words: 3589
Joshua B. Tenenbaum,
Samuel J. Gershman
Bayesian theories of cognition assume that people can integrate probabilities rationally. However, several empirical findings contradict this proposition: human probabilistic inferences are prone to systematic deviations from optimality. Puzzlingly, these deviations sometimes go in opposite directions. Whereas some studies suggest that people under-react to prior probabilities (base rate neglect), other studies find that people under-react to the likelihood of the data (conservatism). We argue that these deviations arise because the human brain does not rely solely on a general-purpose mechanism for approximating Bayesian inference that is invariant across queries. Instead, the brain is equipped with a recognition model that maps queries to probability distributions. The parameters of this recognition model are optimized to get the output as close as possible, on average, to the true posterior. Because of our limited computational resources, the recognition model will allocate its resources so as to be more accurate for high...
A theory of learning to infer
Total Words: 24501
Unqiue Words: 4641
Approximately 20% of adults in the U.S. will experience an affective disorder during their life. While it is well established that serotonin (5-HT) is a crucial factor in mood, impaired cellular bioenergetics are also implicated. Creatine (Cr), through the Cr/Phospho-Cr (PCr) shuttle, maintains high ATP concentrations in the neuron. This system may be implicated in the etiology of affective disorders, as reduced Cr, PCr, and ATP are often seen in the brains of affected patients. To address this issue, Cr transporter (Crt) deficient male mice (Slc6a8-/y) and female mice heterozygous for Crt expression (Slc6a8+/-) were used to evaluate how a Cr deficient system would alter affective-like behaviors. Slc6a8-/y and Slc6a8+/- mice had more escapes and faster escape latencies in learned helplessness, indicating a potential resilience to behavioral despair. Elevated zero maze and tail-suspension test performance matched that of wildtype mice, however. Slc6a8-/y mice have increased 5-hydroxyindoleacetic acid content in the hippocampus and...
Creatine transporter knockout mice (Slc6a8) show increases in serotonin-related proteins and are resilient to learned helplessness https://t.co/j2BnRJflTh #bioRxiv
Total Words: 7317
Unqiue Words: 2308
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