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Reproducibility And Rigour In Computational Neuroscience


Reproducibility And Rigour In Computational Neuroscience
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Reproducibility And Rigour In Computational Neuroscience


Reproducibility And Rigour In Computational Neuroscience
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Author : Sharon Crook
language : en
Publisher: Frontiers Media SA
Release Date : 2020-07-09

Reproducibility And Rigour In Computational Neuroscience written by Sharon Crook and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-09 with categories.




Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute


Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute
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Author : Felix Schürmann
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-26

Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute written by Felix Schürmann and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-26 with Science categories.




Rigor And Reproducibility In Genetics And Genomics


Rigor And Reproducibility In Genetics And Genomics
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Author :
language : en
Publisher: Academic Press
Release Date : 2023-11-08

Rigor And Reproducibility In Genetics And Genomics written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-08 with Medical categories.


Rigor and Reproducibility in Genetics and Genomics: Peer-reviewed, Published, Cited provides a full methodological and statistical overview for researchers, clinicians, students, and post-doctoral fellows conducting genetic and genomic research. Here, active geneticists, clinicians, and bioinformaticists offer practical solutions for a variety of challenges associated with several modern approaches in genetics and genomics, including genotyping, gene expression analysis, epigenetic analysis, GWAS, EWAS, genomic sequencing, and gene editing. Emphasis is placed on rigor and reproducibility throughout, with each section containing laboratory case-studies and classroom activities covering step-by-step protocols, best practices, and common pitfalls. Specific genetic and genomic technologies discussed include microarray analysis, DNA-seq, RNA-seq, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis. Training exercises, supporting data, and in-depth discussions of rigor, reproducibility, and ethics in research together deliver a solid foundation in research standards for the next generation of genetic and genomic scientists. - Provides practical approaches and step-by-step protocols to strengthen genetic and genomic research conducted in the laboratory or classroom - Presents illustrative case studies and training exercises, discussing common pitfalls and solutions for genotyping, gene expression analysis, epigenetic analysis, GWAS, genomic sequencing, and gene editing, among other genetic and genomic approaches - Examines best practices for microarray analysis, DNA-seq, RNA-seq, gene expression validation, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis - Written to provide trainees and educators with highly applicable tools and strategies to learn or refine a method toward identifying meaningful results with high confidence in their reproducibility



Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24


Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24
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Author : S. Kannadhasan
language : en
Publisher: Springer Nature
Release Date : 2025-06-24

Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24 written by S. Kannadhasan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.


This is an open access book. The International Conference on Sustainability Innovation in Computing and Engineering is a distinguished event that brings together leading experts, researchers, practitioners, and innovators to explore the transformative role of computing and engineering in advancing sustainable solutions. In today’s world, where environmental challenges are intensifying, the need for technological innovation in addressing sustainability issues has never been more urgent. This conference serves as a dynamic platform for sharing groundbreaking research, showcasing innovative technologies, and fostering cross-disciplinary collaborations to accelerate sustainable development. With a focus on integrating sustainability into the core of computing and engineering practices, this conference will delve into a wide array of topics such as sustainable computing technologies, energy-efficient systems, green engineering practices, and the role of data science in promoting sustainability. It will also highlight the latest advancements in areas like artificial intelligence, smart systems, and digital solutions that contribute to environmental stewardship and social equity. The conference aims to bridge the gap between theoretical research and practical application, empowering participants to develop actionable strategies and innovative solutions that can be deployed in real-world scenarios. By facilitating robust discussions and knowledge exchange, the conference seeks to inspire new ideas, foster collaboration, and catalyze the development of technologies that not only enhance efficiency and performance but also contribute to a more sustainable future. It is an honor to host a gathering of visionary leaders in computing and engineering, whose expertise and insights will guide the global movement toward a greener, more sustainable world.



Developing A 21st Century Neuroscience Workforce


Developing A 21st Century Neuroscience Workforce
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2015-08-26

Developing A 21st Century Neuroscience Workforce written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-26 with Medical categories.


From its very beginning, neuroscience has been fundamentally interdisciplinary. As a result of rapid technological advances and the advent of large collaborative projects, however, neuroscience is expanding well beyond traditional subdisciplines and intellectual boundaries to rely on expertise from many other fields, such as engineering, computer science, and applied mathematics. This raises important questions about to how to develop and train the next generation of neuroscientists to ensure innovation in research and technology in the neurosciences. In addition, the advent of new types of data and the growing importance of large datasets raise additional questions about how to train students in approaches to data analysis and sharing. These concerns dovetail with the need to teach improved scientific practices ranging from experimental design (e.g., powering of studies and appropriate blinding) to improved sophistication in statistics. Of equal importance is the increasing need not only for basic researchers and teams that will develop the next generation of tools, but also for investigators who are able to bridge the translational gap between basic and clinical neuroscience. Developing a 21st Century Neuroscience Workforce is the summary of a workshop convened by the Institute of Medicine's Forum on Neuroscience and Nervous System Disorders on October 28 and 29,2014, in Washington, DC, to explore future workforce needs and how these needs should inform training programs. Workshop participants considered what new subdisciplines and collaborations might be needed, including an examination of opportunities for cross-training of neuroscience research programs with other areas. In addition, current and new components of training programs were discussed to identify methods for enhancing data handling and analysis capabilities, increasing scientific accuracy, and improving research practices. This report highlights the presentation and discussion of the workshop.



Computational Neuroscience In Epilepsy


Computational Neuroscience In Epilepsy
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Author : Ivan Soltesz
language : en
Publisher: Academic Press
Release Date : 2011-09-02

Computational Neuroscience In Epilepsy written by Ivan Soltesz and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-02 with Science categories.


Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. - Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures - Contributors are top experts at the forefront of computational epilepsy research - Chapter contents are highly relevant to both basic and clinical epilepsy researchers



Enhancing Scientific Reproducibility In Biomedical Research Through Transparent Reporting


Enhancing Scientific Reproducibility In Biomedical Research Through Transparent Reporting
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2020-05-28

Enhancing Scientific Reproducibility In Biomedical Research Through Transparent Reporting written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Medical categories.


Sharing knowledge is what drives scientific progress - each new advance or innovation in biomedical research builds on previous observations. However, for experimental findings to be broadly accepted as credible by the scientific community, they must be verified by other researchers. An essential step is for researchers to report their findings in a manner that is understandable to others in the scientific community and provide sufficient information for others to validate the original results and build on them. In recent years, concern has been growing over a number of studies that have failed to replicate previous results and evidence from larger meta-analyses, which have pointed to the lack of reproducibility in biomedical research. On September 25 and 26, 2019, the National Academies of Science, Engineering, and Medicine hosted a public workshop in Washington, DC, to discuss the current state of transparency in the reporting of preclinical biomedical research and to explore opportunities for harmonizing reporting guidelines across journals and funding agencies. Convened jointly by the Forum on Drug Discovery, Development, and Translation; the Forum on Neuroscience and Nervous System Disorders; the National Cancer Policy Forum; and the Roundtable on Genomics and Precision Health, the workshop primarily focused on transparent reporting in preclinical research, but also considered lessons learned and best practices from clinical research reporting. This publication summarizes the presentation and discussion of the workshop.



The Problem With Science


The Problem With Science
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Author : R. Barker Bausell
language : en
Publisher:
Release Date : 2021

The Problem With Science written by R. Barker Bausell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Psychology categories.


Recent events have vividly underscored the societal importance of science, yet the majority of the public are unaware that a large proportion of published scientific results are simply wrong. The Problem with Science explains in nontechnical language how such fallacy occurs, how it gets published in respected scientific journals, and how it can largely be avoided.



An Insight Into University Medical And Health Science Courses


An Insight Into University Medical And Health Science Courses
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Author : Sunjoo Kang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-26

An Insight Into University Medical And Health Science Courses written by Sunjoo Kang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-26 with Medical categories.




Python In Neuroscience


Python In Neuroscience
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Author : Eilif Muller
language : en
Publisher: Frontiers Media SA
Release Date : 2015-07-23

Python In Neuroscience written by Eilif Muller and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-23 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.


Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.