- De www.edx.org
The Multi-scale brain
- Individualizado
- Acesso livre
- Certificado pago
- 7 sequências
- Advanced Level
Detalhes do curso
Programa de Estudos
1. Introduction
1.1. Introduction to the course, Sean Hill
1.2. Introduction to the Allen Institute for Brain Science data and tools, Terri Gilbert
1.3. Human Brain Atlasing, Danilo Bzdok
1.4. Graded quiz 1
2. Genetic Mapping of the mouse brain
2.1. Using whole-brain and single-cell gene expression to identify and characterize cell types, Vilas Menon
2.2. Genetic dissection of neural circuits, Trygve Bakken
3. Navigating gene expression data.
3.1. Accessing mouse gene expression data, Terri Gilbert
3.2. Navigating the human gene expression data, Terri Gilbert
3.3. Peer-graded assignment gene expression data
4. Multi-scale connectivity
4.1. Synaptic Mapping with Array Tomography, Forrest Collman
4.2. Mesoscale mapping, Jack Waters
4.3. The connectivity atlas, Terri Gilbert
4.4. Graded assignment mouse connectivity
5. Multi-scale modeling
5.1. Blue Brain, Sean Hill
5.2. Cell types and modeling, Werner von Geit & Elisabetta Iavarone
5.3. Graded assignment modeling
5.4. Building bio-physiologically constrained models of large-scale phenomena in the brain, Alain Destexhe
5.5. Graded quiz 2
6. Reconstructing micro-circuitry
6.1. Computational properties of human cortical microcircuits Huib Mansvelder
6.2. Modelling microcircuits, Michael Reimann
6.3. Graded quiz 3
7. Structure and function of the whole brain
7.1. Whole brain morpho-functional imaging: connecting a single neuron to whole brain, Francesco Pavone
7.2. Functional physiology of the mouse virtual cortex, Saskia de Vries
7.3. Brain observatory data sets, Terri Gilbert
7.4. Peer-graded homework
7.5. Graded quiz 4
8. Final exam
Pré-requisito
Knowledge of ordinary differential equations, and their numerical solution.
Knowledge of programming in one of the following: Python (preferred), C/C++, Java, MATLAB, R.
Instrutores
Sean Hill
Professor
École polytechnique fédérale de Lausanne
Terri Gilbert
Dr.
Gilhou Scientific Communications
Forrest Collman
Dr.
Allen Institute for Brain Science
Trygve Bakken
Dr.
Allen Institute for Brain Science
Saskia de Vries
Dr.
Allen Institute for Brain Science
Jack Waters
Dr.
Allen Institute for Brain Science
Huib Mansvelder
Professor
Center for Neurogenomics and Cognitive Research
Vilas Menon
Dr.
Janelia research campus
Alain Destexhe
Dr.
Le Centre national de la recherche scientifique
Francesco Pavone
Professor
École polytechnique fédérale de Lausanne
Danilo Bzdok
Dr.
RWTH Aachen University
Michael Reimann
Staff Scientist
École polytechnique fédérale de Lausanne
Editor
A École polytechnique fédérale de Lausanne (EPFL) é uma universidade de investigação em Lausanne, na Suíça, especializada em ciências físicas e engenharia.
A EPFL é um dos dois Institutos Federais Suíços de Tecnologia. Foi fundada pelo governo federal suíço com a seguinte missão
formar engenheiros e cientistas ao mais alto nível internacional
ser um centro nacional de excelência em ciência e tecnologia
constituir um centro de interação entre a comunidade científica e a indústria.
A EPFL é considerada uma das universidades mais prestigiadas do mundo no domínio da engenharia e da ciência. Está classificada em 17º lugar geral e 10º em engenharia no QS World University Rankings 2015; 34º lugar geral e 12º em engenharia no Times Higher Education World University Rankings 2015.
Plataforma
EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.
EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.
Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.