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      Exploration in the Presence of Mother in Typically and Non-typically Developing Pre-walking Human Infants

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          Abstract

          In previous phenotyping studies of mouse and rat exploratory behavior we developed a computational exploratory data analysis methodology including videotaping, tracking, preparatory methods for customized data analysis, a methodology for improving the replicability of results across laboratories, and algorithmic design for exposing the natural reference places (origins) used by animals during exploration. We then measured the animals’ paths in reference to these origins, revealing robust, highly replicable modules termed excursions, which are performed from the origin into the environment and back to the origin. Origin-related exploration has been claimed to be phylogenetically conserved across the vertebrates. In the current study we use the same methodology to examine whether origin-related exploration has also been conserved in human pre-walking typically developing (TD) and a group of non-typically developing (NTD) infants in the presence of their stationary mother. The NTDs had been referred to a center for the early treatment of autism in infancy by pediatric neurologists and clinicians. The TDs established a reference place (origin) at mother’s place and exhibited a modular partitioning of their path into excursions performed in reference to mother, visiting her often, and reaching closely. In contrast, the NTDs did not establish a distinct origin at the mother’s place, or any other place, and did not partition the exploratory path into excursions. Once this difference is validated, the differences between the human infant groups may serve as an early referral tool for child development specialists. The absence of distinct modularity in human infants at risk of autism spectrum disorder can guide the search for animal models for this disorder in translational research.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

            Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be highly time consuming. In motor control studies, humans or other animals are often marked with reflective markers to assist with computer-based tracking, but markers are intrusive, and the number and location of the markers must be determined a priori. Here we present an efficient method for markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results with minimal training data. We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. Remarkably, even when only a small number of frames are labeled (~200), the algorithm achieves excellent tracking performance on test frames that is comparable to human accuracy.
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              Object relations, dependency, and attachment: a theoretical review of the infant-mother relationship.

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                Author and article information

                Contributors
                Journal
                Front Behav Neurosci
                Front Behav Neurosci
                Front. Behav. Neurosci.
                Frontiers in Behavioral Neuroscience
                Frontiers Media S.A.
                1662-5153
                13 November 2020
                2020
                : 14
                : 580972
                Affiliations
                [1] 1Department of Statistic and Operations Research, School of Mathematical Sciences, Tel Aviv University , Tel Aviv, Israel
                [2] 2The Mifne Center , Rosh Pinna, Israel
                [3] 3Bar Ilan University, School of Social Work , Ramat-Gan, Israel
                [4] 4The Sagol School of Neuroscience, Tel Aviv University , Tel Aviv, Israel
                [5] 5School of Zoology, Faculty of Life Sciences, Tel Aviv University , Tel Aviv, Israel
                Author notes

                Edited by: York Winter, Humboldt University of Berlin, Germany

                Reviewed by: Özge Sungur, University of Marburg, Germany; Sergio Marcello Pellis, University of Lethbridge, Canada

                *Correspondence: Ilan Golani, ilan99@ 123456tauex.tau.ac.il

                This article was submitted to Individual and Social Behaviors, a section of the journal Frontiers in Behavioral Neuroscience

                Article
                10.3389/fnbeh.2020.580972
                7691591
                33281573
                afe9c74f-91d5-40bb-97f7-e7be8558d980
                Copyright © 2020 Frostig, Alonim, Scheingesicht, Benjamini and Golani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 July 2020
                : 13 October 2020
                Page count
                Figures: 8, Tables: 1, Equations: 0, References: 70, Pages: 17, Words: 0
                Categories
                Neuroscience
                Original Research

                Neurosciences
                behavioral homology,asd,autism,mother related exploration,homebase,asd prodrome,excursions
                Neurosciences
                behavioral homology, asd, autism, mother related exploration, homebase, asd prodrome, excursions

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