This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
Computational models provide a framework for integrating data across spatial scales and for exploring hypotheses about the biological mechanisms underlying neuronal and network dynamics. However, as models increase in complexity, additional barriers emerge to the creation, exchange, and re-use of models. Successful projects have created standards for describing complex models in neuroscience and provide open source tools to address these issues. This lecture provides an overview of these projects and make a case for expanded use of resources in support of reproducibility and validation of models against experimental data.
Lecture on functional brain parcellations and a set of tutorials on bootstrap agregation of stable clusters (BASC) for fMRI brain parcellation which were part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
Introduction to reproducible research. The lecture provides an overview of the core skills and practical solutions required to practice reproducible research. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
This lecture was part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
NWB: An ecosystem for neurophysiology data standardization
Learn how to build and share extensions in NWB
Learn how to build custom APIs for extension
Learn how to handle writing very large data in PyNWB
Learn how to handle writing very large data in MatNWB
This lecture provides guidance on the ethical considerations the clinical neuroimaging community faces when applying the FAIR principles to their research. This lecture was part of the FAIR approaches for neuroimaging research session at the 2020 INCF Assembly.
This lecture covers the ethical implications of the use of functional neuroimaging to assess covert awareness in unconscious patients and was part of the Neuro Day Workshop held by the NeuroSchool of Aix Marseille University.
This module covers many of the types of non-invasive neurotech and neuroimaging devices including Electroencephalography (EEG), Electromyography (EMG), Electroneurography (ENG), Magnetoencephalography (MEG), functional Near-Infrared Spectroscopy (fNRIs), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography
Brought to you by the Canadian Association of Research Libraries.
Keeping data and research materials organized across all phases of the research process is always a challenging process. To help the research community address these challenges, the Center for Open Science developed the Open Science Framework (OSF), a research tool that supports collaboration, data management, and transparency throughout the research lifecycle. The OSF provides avenues for researchers to design a study; collect, analyze, and store data; manage collaborators; and publish research materials. In this webinar, attendees will learn about the many features of the OSF and develop strategies for using the tool within the context of their own research projects. The discussion will be framed around how to best utilize the OSF while also implementing data management and open science best practices.
Speakers Kevin Read, MLIS, MAS is a health sciences librarian at the University of Saskatchewan. He has been providing data services in health sciences libraries for the past 8 years in both Canada and the U.S. He is the current Chair of the Portage Network’s Data Discovery Expert Group, and is in the process of conducting research on how Canadian-funded researchers describe and share their data.
Félix-Antoine Fortin from Calcul Québec gives an introduction to high-performance computing with the Compute Canada network, first providing an overview of use cases for HPC and then a hand-on tutorial. Though some examples might seem specific to the Calcul Québec, all computing clusters in the Compute Canada network share the same software modules and environments.
The lesson was given in the context of the BrainHack School 2020.
The Canadian Open Neuroscience Platform (CONP) Portal is a web interface that facilitates open science for the neuroscience community by simplifying global access to and sharing of datasets and tools. The Portal internalizes the typical cycle of a research project, beginning with data acquisition, followed by data processing with published tools, and ultimately the publication of results with a link to the original dataset.
In this video, Samir Das and Tristan Glatard give a short overview of the main features of the CONP Portal.
Shawn Brown presents an overview of CBRAIN, a web-based platform that allows neuroscientists to perform computationally intensive data analyses by connecting them to high-performance-computing facilities across Canada and around the world.
This talk was given in the context of a Ludmer Centre event in 2019.