NMA 2021 has now concluded!

Thank you to all of our wonderful TAs, Students, Mentors, and Volunteers for an amazing experience.


If you missed it, the materials (videos and tutorials codebooks) will be available for free with no time limit

Scroll down to find content links for both of our 2021 courses

Aims

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience and deep learning to trainees with an emphasis on theory and model building. Our student population ranges from undergraduates to faculty in academic settings and also includes industry professionals. Students have a diversity of backgrounds including experimental and computational neuroscience and machine learning. In addition to teaching the technical details of computational methods, we also provide a curriculum centered on modern neuroscience concepts taught by leading professors along with explicit instruction on how and why to apply models. For a detailed description of the content we cover in computational neuroscience, see our syllabus from last year's course.

An image of a purple brain

International and Interactive

Students participating on our Interactive track will be placed into TA-led pods using the neuromatch algorithm, which matches students with common interests who are in the same timezone. Students will receive personalized support as they work through hands-on coding tutorials together over video chat. For more information about last year's course, visit our NMA2020 School Structure page.

Group Projects

Small groups of 3-5 students will work together on projects that put the concepts of the school into action. These projects will utilize large publicly-available datasets. Students who are interested in pursuing their projects further will produce virtual presentations of their work at the end of the school and may be invited to participate in a special issue of the NBDT journal.


Extra-Curricular Opportunities

In order to capture all aspects of traditional summer schools, Interactive students will also be offered mentoring from professors in the field, professional development seminars, career panels and opportunities to virtually socialize with their fellow students.

An illustration of two smiling neurons

Free, Flexible Learning

Students who do not have the time to commit to the Interactive track can participate as Observers. Observers get access to all lectures and tutorials but do not join TA pods or group projects. (In fact the lectures and tutorials are posted on Youtube and Github for anyone to access). in 2020, Observers could interact with fellow students through an INCF-hosted discussion forum and could signed up to be matched with up to 5 other observers that share their research interests using the neuromatch algorithm, for extra networking opportunities. We are hoping to provide the same opportunities in 2021. In addition, all of our course materials will remain open to the public after the school and freely available.

Summer 2021

Two courses were offered in the summer of 2021:

NMA-CN:

Computational Neuroscience, which is an updated version of the course we ran in 2020. The course ran from July 5-23.

Click to see the syllabus

Materials are also being collected into a Jupyter notebook, available at compneuro.neuromatch.io

NMA-DL:

Deep Learning, which is a course on the theory and techniques of deep learning with an emphasis on neuroscience. The course ran from August 2-20.

Click to see the syllabus

Materials are also being collected into a Jupyter notebook, available at deeplearning.neuromatch.io

You can also check out our professional development series, industry panels, roundtables, Q&A sessions and online celebrations on our Crowdcast event (totally free of charge):

https://www.crowdcast.io/e/nma2021

There are three different positions in each of these two courses:

Interactive Students, who will work closely in small pods to learn materials from the tutorials and may also develop research projects with their peers in conjunction with TAs and mentors.

Teaching Assistants (TAs), who will help to run the course by guiding students through the tutorials and helping them to develop projects. All TAs will receive a USD 1500 payment for their help, regardless of what country they work or reside in.

Mentors, who will typically be faculty members or established industry professionals. Mentors will work with students and TAs to guide the development of research projects and to provide career advice and other forms of support.

Neuromatch Academy 2021 concluded on 20-August-2021...

Our students from NMA 2021 having a blast in their zoom rooms!