Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

Tara van Viegen; Athena Akrami; Kathryn Bonnen; Eric DeWitt; Alexandre Hyafil; Helena Ledmyr; Grace W. Lindsay; Patrick Mineault; John D. Murray; Xaq Pitkow; Aina Puce; Madineh Sedigh-Sarvestani; Carsen Stringer; Titipat Achakulvisut; Elnaz Alikarami; Melvin Selim Atay; Eleanor Batty; Jeffrey C. Erlich; Byron Galbraith; Yueqi Guo; Ashley Juavinett; Matthew R. Krause; Songting Li; Marius Pachitariu; Elizabeth Straley; Davide Valeriani; Emma Vaughan; Maryam Vaziri-Pashkam; Michael Waskom; Gunnar Blohm; Konrad P. Körding; Paul Schrater; Brad Wyble; G. Sean Escola; Megan A. K. Peters

doi:10.1016/j.tics.2021.03.018

Ask about this paper

Answers are grounded in this paper and cite their sources.

Abstract

Neuromatch Academy (NMA) designed and ran a fully online 3-week Computational Neuroscience Summer School for 1757 students with 191 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Viegen et al. (2021) studied this question.

synapsesocial.com/papers/6aad1322716fc9c42ca8757e https://doi.org/10.1016/j.tics.2021.03.018

View Full Paper

Ask AI

Bookmark

Share

Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

Ask about this paper

Abstract

Discussion

Cite This Study

Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

Ask about this paper

Abstract

Discussion

Cite This Study

Keep reading

Keep reading