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Overview of the content for Day 1 of this course.

Difficulty level: Beginner
Duration: 00:01:59
Speaker: : Tristan Shuman

Best practices: the tips and tricks on how to get your Miniscope to work and how to get your experiments off the ground.

Difficulty level: Beginner
Duration: 00:53:34

"Balancing size & function in compact miniscopes" was presented by Tycho Hoogland at the 2021 Virtual Miniscope Workshop as part of a series of talks by leading Miniscope users and developers.

Difficulty level: Beginner
Duration: 00:21:51

"Computational imaging for miniature miniscopes" was presented by Laura Waller at the 2021 Virtual Miniscope Workshop as part of a series of talks by leading Miniscope users and developers.

Difficulty level: Beginner
Duration: 00:17:56

"Online 1-photon vs 2-photon calcium imaging data analysis: Current developments and future plans" was presented by Andrea Giovannucci at the 2021 Virtual Miniscope Workshop as part of a series of talks by leading Miniscope users and developers.

Difficulty level: Beginner
Duration: 00:21:06

"Ensemble fluidity supports memory flexibility during spatial reversal" was presented by William Mau at the 2021 Virtual Miniscope Workshop as part of a series of talks by leading Miniscope users and developers.

Difficulty level: Beginner
Duration: 00:19:43

How to start processing the raw imaging data generated with a Miniscope, including developing a usable pipeline and demoing the Minion pipeline

Difficulty level: Beginner
Duration: 00:57:26

The direction of miniature microscopes, including both MetaCell and other groups.

Difficulty level: Beginner
Duration: 00:49:16

Overview of the content for Day 2 of this course.

Difficulty level: Beginner
Duration: 00:11:01
Speaker: : Tristan Shuman

Summary and closing remarks for this three-day course.

Difficulty level: Beginner
Duration: 00:04:56
Speaker: : Stephen Larson

This lecture covers infrared LED oblique illumination for studying neuronal circuits in in vitro block-preparations of the spinal cord and brain stem.

Difficulty level: Beginner
Duration: 25:16
Speaker: : Péter Szucs

This lecture covers the application of diffusion MRI for clinical and preclinical studies.

Difficulty level: Beginner
Duration: 33:10
Speaker: : Silvia de Santis

This lecture will provide an overview of neuroimaging techniques and their clinical applications.

Difficulty level: Beginner
Duration: 45:29
Speaker: : Dafna Ben Bashat

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.

Difficulty level: Advanced
Duration: 50:28
Speaker: : Pierre Bellec

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.

Difficulty level: Beginner
Duration: 1:03:07
Speaker: : Russell Poldrack

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.

Difficulty level: Beginner
Duration: 55:39
Speaker: : Angela Laird

Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience.  FAIR defines a set of high-level principles and practices for making digital objects, including data, software, and workflows, Findable, Accessible,  Interoperable, and Reusable.  But FAIR is not a specification;  it leaves many of the specifics up to individual scientific disciplines to define.  INCF has been leading the way in promoting, defining, and implementing FAIR data practices for neuroscience.  We have been bringing together researchers, infrastructure providers, industry, and publishers through our programs and networks.  In this session, we will hear some perspectives on FAIR neuroscience from some of these stakeholders who have been working to develop and use FAIR tools for neuroscience.  We will engage in a discussion on questions such as:  how is neuroscience doing with respect to FAIR?  What have been the successes?  What is currently very difficult? Where does neuroscience need to go? This lecture covers the needs and challenges involved in creating a FAIR ecosystem for neuroimaging research.

Difficulty level: Beginner
Duration: 12:26
Speaker: : Camille Maumet

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers the NIDM data format within BIDS to make your datasets more searchable, and how to optimize your dataset searches.

Difficulty level: Beginner
Duration: 12:33
Speaker: : David Keator

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers the processes, benefits, and challenges involved in designing, collecting, and sharing FAIR neuroscience datasets.

Difficulty level: Beginner
Duration: 11:35

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers positron emission tomography (PET) imaging and the Brain Imaging Data Structure (BIDS), and how they work together within the PET-BIDS standard to make neuroscience more open and FAIR.

Difficulty level: Beginner
Duration: 12:06
Speaker: : Melanie Ganz