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The availability of more powerful microscopes and techniques to explore the brain has provided neuroscientists with a wealth of data that is difficult to fully analyze, due to both its volume and complexity ( Kandel et al., 2013 DeFelipe, 2017).Įxploratory Data Analysis refers to a set of techniques originally developed to display data in such a way that those features that might be considered particularly relevant for a given analysis will become apparent. The bottleneck for progress in many research areas within neuroscience has shifted from the data acquisition to the data analysis stages. Thus, regarding its practical application in the laboratory, InTool Explorer provides a new opportunity to study and analyze neuroscience data prior to any statistical analysis being carried out. Another significant contribution of this tool is that it allows fast visualization of the data, error finding, and re-evaluation to establish new hypotheses or new lines of research. These images can be used by InTool Explorer to define new customized filtering cards.

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Additionally, InTool Explorer makes it possible linking raw images to the data. Each card type offers an abstract data representation, a filtering tool or a set of statistical analysis methods.

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For this purpose, the tool allows the user to select among different predefined card types. Moreover, InTool Explorer permits visualization of the datasets in a very dynamic and versatile way using a linked-card approach. The main contribution of this tool is to provide a user-designed canvas for data visualization and interaction, to perform specific exploratory tasks according to the user needs.

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InTool Explorer requires no more than an internet connection and a web browser. This tool is freely-available software that has been designed to facilitate the study of complex neuroscience data. In the present article, we propose a method named InTool Explorer that we have developed to perform interactive exploratory data analysis, focusing on neuroanatomy as an example of its utility. 8Department of Functional and Systems Neurobiology, Instituto Cajal (CSIC), Madrid, Spain.7Escuela Técnica Superior de Ingenieros Informáticos, Universidad Politécnica de Madrid (UPM), Madrid, Spain.5Center for Computational Simulation (CCS), Universidad Politécnica de Madrid (UPM), Madrid, Spain.4Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Madrid, Spain.3Facultad de Psicología, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.1Laboratorio Cajal de Circuitos Corticales (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.Software compatibility depends on operating system.Diana Furcila 1,2,3, Marcos García 4,5, Cosmin Toader 4, Juan Morales 6, Antonio LaTorre 5,7, Ángel Rodríguez 5,7, Luis Pastor 4,5, Javier DeFelipe 1,2,8 and Lidia Alonso-Nanclares 1,2,8*

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The Android robot is reproduced or modified from work created and shared by Google and used according to terms described in the Creative Commons 3.0 Attribution License. Android, Chromebook, and the Works With Chromebook badge are trademarks of Google LLC. Google is not responsible for the operation of this product or its compliance with safety requirements. * This product works with devices capable of running the latest version of Chrome OS and has been certified to meet Google's compatibility standards.

  • internet access to download driver** for tablet to work and to select downloadable software***.
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