Neuromatch Academy (NMA) 2022
The two courses (Computational Neuroscience and Deep Learning) will happen in parallel for 3 weeks:
from July 11th to July 29th

Students and TAs can apply from a dedicated portal:
NEW: Instant-applications are open on a rolling basis until May 6th

What is Neuromatch Academy?
Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment. We run a Computational Neuroscience and a Deep Learning course.

What’s in a course?
Our summer courses are intensive 3-week programs (7+ hours/day) involving hands-on tutorials developed and taught by leading experts. Students are placed into TA-led groups of 10-20 students using the neuromatch algorithm, which matches students based on common interests, timezone and their preferred language. They receive personalized support as they work through hands-on tutorials and collaborate on course projects.

What does it cost?
Traditionally summer schools cost many thousands of dollars (e.g. $5,000). But we charge a far lower region-adjusted fee for students to pay our TAs. We offer a waivers for students that need it, and ability to pay does not affect admission.

Who is Neuromatch Academy?
Neuromatch Academy is an all-volunteer organization, run by science enthusiasts from all over the world. From students to faculty to industry professionals, our volunteers are invested in creating globally-accessible science education and building inclusive communities for scientists to learn, grow, network, and discover.

Register to receive announcements and reminders about 2022 courses

Here you can find content for both of our 2021 courses


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.

An image of a purple brain

International and Interactive

Students participating on our courses 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 years' courses, visit the NMA2020 or NMA2021 pages.

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, 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 course can still access all lectures and tutorials (but do not join TA pods or group projects). Lectures and tutorials are posted on Youtube and Github for anyone to access, all of our course materials will remain open to the public after the school and freely available.