| Title: |
Neuromatch Academy: a 3-week, online summer school in computational neuroscience |
| Authors: |
't Hart, Bernard Marius; Achakulvisut, Titipat; Akrami, Athena; Alicea, Bradly; Beierholm, Ulrik; Blohm, Gunnar; Bonnen, Kathryn; Butler, John S; Caie, Brandon; Cheng, You; Chow, Hiu Mei; David, Isaac; DeWitt, Eric; Drugowitsch, Jan; Dwivedi, Kshitij; Fiquet, Pierre-Étienne; Forest, Jeremy; Galbraith, Byron; Gu, Qingling; GUPTA, PANKAJ; Hyafil, Alexandre; Kording, Konrad; Kumar, Arvind; Mineault, Patrick; Murray, John D.; Peters, Megan A. K.; Schrater, Paul; Stringer, Carsen; Wallisch, Pascal; Wyble, Brad |
| Publisher Information: |
Center for Open Science |
| Publication Year: |
2021 |
| Description: |
Neuromatch Academy (https://neuromatch.io/academy) was designed as an online summer school to cover the basics of computational neuroscience in three weeks. The materials cover dominant and emerging computational neuroscience tools, how they complement one another, and specifically focus on how they can help us to better understand how the brain functions. An original component of the materials is its focus on modeling choices, i.e. how do we choose the right approach, how do we build models, and how can we evaluate models to determine if they provide real (meaningful) insight. This meta-modeling component of the instructional materials asks what questions can be answered by different techniques, and how to apply them meaningfully to get insight about brain function. |
| Document Type: |
other/unknown material |
| Language: |
unknown |
| DOI: |
10.31219/osf.io/9fp4v |
| Availability: |
https://doi.org/10.31219/osf.io/9fp4v |
| Rights: |
https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.322641C1 |
| Database: |
BASE |