The Multi-scale Brain: Advanced Neuroscience Exploration
Explore cutting-edge techniques in brain research, from genes to whole-brain imaging, in this comprehensive neuroscience course.
Explore cutting-edge techniques in brain research, from genes to whole-brain imaging, in this comprehensive neuroscience course.
Dive into the complex world of neuroscience with this advanced course on the multi-scale brain. Discover the latest data, models, and techniques for investigating different levels of brain organization, from genes and cells to entire brain regions. Learn how to integrate knowledge across scales to gain new insights into brain function and behavior. Explore state-of-the-art tools for neuroinformatics, analysis, modeling, and simulation. With contributions from international experts, this course offers a comprehensive overview of modern neuroscience research methods, including brain atlases, gene expression data, and neuronal modeling. Gain hands-on experience with cutting-edge research tools through practical tutorials and exercises.
Instructors:
English
English
Powered by
What you'll learn
Understand and compare different techniques for visualizing, mapping, and modeling brain structures at various scales
Classify neurons and relate cell morphology to function
Use brain atlases and modeling tools for neuroscience research
Analyze whole-brain and single-cell gene expression data
Explore synaptic mapping techniques and mesoscale connectivity
Develop skills in building biophysically constrained models of brain phenomena
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This course provides a comprehensive exploration of multi-scale brain research, covering techniques from genetic mapping to whole-brain imaging. It starts with an introduction to brain atlases and Allen Institute tools, then delves into genetic mapping of the mouse brain and navigating gene expression data. The course covers multi-scale connectivity, including synaptic and mesoscale mapping. It explores multi-scale modeling techniques, from single neurons to large-scale brain phenomena. The course also covers reconstruction of microcircuitry and whole-brain structure-function relationships. Throughout, students gain practical experience with cutting-edge neuroscience research tools and datasets.
Introduction
Module 1
Genetic Mapping of the mouse brain
Module 2
Navigating gene expression data
Module 3
Multi-scale connectivity
Module 4
Multi-scale modeling
Module 5
Reconstructing micro-circuitry
Module 6
Structure and function of the whole brain
Module 7
Final exam
Module 8
Fee Structure
Instructors
1 Course
Expert in Neuroinformatics and Scientific Software Engineering
Samuel Kerrien is the Section Manager of Neuroinformatics Software Engineering and Data and Knowledge Engineering at EPFL's Blue Brain Project. Working under Professor Sean Hill, he leads the development of Blue Brain Nexus, a pioneering platform for managing large-scale neuroscience data. His expertise spans Java development, big data ecosystems, and data integration in life sciences, with particular focus on making software development teams more effective through agile processes. Before his current role, he served as a Senior Data Engineer and ScrumMaster at Jagex in Cambridge, UK, and led the IntAct project at the European Bioinformatics Institute, focusing on proteomics and data standardization. Under his leadership, his team has developed an ecosystem of open-source, domain-agnostic systems for knowledge graph management, supporting data-driven scientific research while maintaining data provenance and enabling semantic search capabilities.
1 Course
Expert in Science Communication and Neuroscience Education
Terri Gilbert is the founder of Gilhou Scientific Communications, bringing over 15 years of experience in science communication and training. After earning her Ph.D. in Biomedical Sciences from the University of New Mexico School of Medicine, she completed postdoctoral work studying opioid receptor mechanisms at both UNM and the University of Washington. As Application Scientist at the Allen Institute for Brain Science (2010-2017), she delivered over 200 global workshops and training sessions on the Allen Brain Atlas database. She later served as Engagement Director for Brain Commons at Cohen Veterans Bioscience (2017-2020) and Director of Education & Discovery at Exaptive (2020-2022), where she developed digital platforms for brain health research. Her expertise spans scientific writing, knowledge brokering, and training development, with particular focus on neuroscience and complex data visualization. She founded the Seattle Science Café's Science on Tap program and served as a Science Communication Fellow at the Pacific Science Center from 2013 to 2016
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.