Q: What is Neuromatch Academy?

A: Neuromatch Academy is a massive, interactive, online summer school experience spanning from hands-on modeling experience to meta-science interpretation skills across just about everything that could be reasonably included in the label "computational neuroscience". We're a group of neuroscientists from around the globe who have run smaller, in-person summer schools in the past, but that's not possible right now due to the COVID-19 pandemic.

Q: What makes it unique?

A: We are aiming as much as possible to provide equal access to excellent computational neuroscience and deep-learning training for all students regardless of geography, nationality, socioeconomic status, or other factors. Also, unlike most other online courses, we have TAs. Plus, there will be lots of scientific networking through matchmaking algorithms.

Q: Why should I sign up for Neuromatch Academy?

A: If you have ever wanted to learn about computational neuroscience or deep-learning, this is your chance! We don't just teach you the skills; we will also teach you how to use those skills to answer scientific questions. And it will be a lot of fun!

Q: What topics will be covered in the course?

A: The computational neuroscience course provides an integrated, scientific inquiry-based curriculum with instruction in core topics of neural data science and computational neuroscience such as dimensionality reduction, neuron models, network dynamics, Bayesian modeling, and deep learning. We have a large focus on meta-modeling, too: how to choose the right model for your dataset and question, and what insights each approach can provide. See our syllabus for 2020. The deep learning course [FILL IN]

Q: When will the programme be available on the website?

A: Here are the links for the syllabus and pre-course reading list for the computational neuroscience 2020 course.

Q: How can I apply for the academy?

A: Our Application portal is now live and we are taking applications until May 17, 2021. You can find the application portal at this URL

Q: What is the structure of the course?

A: Each day has a series of modules (lectures and hands-on tutorial), a keynote / interpretation session, and professional development activities on weekends. Small-group projects (Interactive track) happen afterwards. Lectures will be pre-recorded; TA modules, projects, and other activities will be live.

Q: How do students get grouped into teams or 'pods'?

A: We use an algorithm (cite 1, cite 2, cite 3) to place people in complementary groups based on common interests, time availability, seniority and in many cases shared language. This will allow students to meet online at a time and context that is most convenient for them.

Q: How big is each 'pod' or team of students who work with 1 TA?

A: Each 'pod' will consist of a TA working together with roughly 10 students.

Q: What are group projects?

A: There are small-group (3-5 students from your pod) projects for students in the Interactive track. This is a fun way to apply hands-on skills to your own topic of interest! We will step-by-step mentor you in how to model and the projects will also be supervised by TAs.

Q: What's the professional development aspect?

A: Professional mentors will be providing career advice in the form of talks and career panels during optional weekend sessions.

Q: What time zone will it take place in? What if I am not in the timezone of the school? How will I access the lectures and my "pod"?

A: We will have TA-facilitated pods accessible in real time from all timezones in the world. When you sign up and commit to attending the Interactive track you will be asked for your timezone so we can place you in a group that operates in your preferred timezone. Lectures and tutorials will be pre-recorded with multiple live Q&A sessions spanning multiple timezones to give you a chance to ask questions to the instructors in a live setting.

Q: Will the courses be in any languages other than English?

A: The main language of instruction will be English, and all materials will be in English. In addition, many of our students will be grouped into pods where the TA and students all share another language.

Q: How long can I access the lectures and materials for after the school?

A: Everything will be freely available after the school on Github and YouTube. Please see our Course Materials page.

Q: Can I have access to a list of all participants and TAs before or after the school, so I can set up my own networking opportunities after the school?

A: All participants will be able to opt in to sharing their contact information.

Q: Do I need a letter of reference to apply?

A: Nope!

Q: Can Iranian residents participate in NMA?

A: Yes. Shortly before the start of NMA 2020, we announced that, because the organizers of NMA includes US Citizens, NMA could not provide our course as a service to people residing in Iran. This was a result of existing US sanctions against Iran. Upon learning of this restriction, we applied for a license to operate in Iran and were granted an emergency relief from the sanctions. This allowed us to invite back the students and TAs residing in Iran. This will apply also to the 2021 NMA computational neuroscience course

Application Portal Questions

Q: I have logged in but cannot see the applications, what's wrong?

A: You have to complete your profile in the upper right before you begin. There is also an email verification that you need to complete before your account is active

Q: I am having trouble using the Google Login button

A: Some browsers report difficulty using this. Try using a private browser tab if you run into this.

Q: I am having trouble creating an application from a mobile browser

A: We have not been able to test our application on mobile browsers. Please try to use a computer with a normal display instead.

Q: I need to change my time slot or location. Can I do this?

A: You can update your information via your portal account. You must do this by 17 June for CN and 17 July for DL

Q: "Can I change my Computational Neuroscience time slot after the deadline (which was June 17)?"

A: We assign students into pods using this information with a complex algorithm and we cannot at this point re-run that algorithm. If you need to change time slots to accommodate a major change in life circumstances, email support@neuromatch.io with a justification and our matching team will consider whether we can move you to another pod.

Q: Can I change my Deep Learning time slot still?

A: Yes you can do this via your portal account until July 17th

Interactive versus Observer Tracks

Q: What is the Interactive vs Observer track?

A: The Interactive track will involve 6+ hours a day of lectures and small-group project work with a TA and a pod of other students who have similar interests, language preferences and time zone requirements. Pods will be divided into two groups of roughly 4, each of which work on a project together. The Observer track will have access to the course materials but will not participate in the TA-facilitated live coding pods, group projects, or other interactive mentorship components.

Q: Will I still be able to ask questions if I am on an Observer track?

A: In some cases yes. You'll have access to the lectures and curricular materials but you will have no TA or mentor support, and no group projects. We are looking into what other methods of contact with instructors may be possible.

Q: I want to join the Observer Track. How do I do this?

A: Click on the 'About' tab of the website and scroll down to 'Observer Track'

Neuromatch Academy Student Applications

Q: Who should be a student?

A: Anyone who is interested in following a career in neuroscience either in academia or in industry. Students should have some background already in coding (but we will provide learning resources).

Q: Do I have to have a Google Scholar account to apply? (I don't have any publications yet)

A: You don't have to have a Google Scholar account, but if you do, sharing it will be helpful for us to evaluate Neuromatch Academys long term impact and raise funding for future years. Note that you don't need to have any publications to apply to Neuromatch Academy or to create a Google Scholar profile.

Q: What level of Python experience do I need?

A: Students should be comfortable writing simple Python programs at the minimum when the course begins. If you have never seen an "if" statement before, this probably isn't for you, but you don't need to be a super expert either. If you have expertise in a comparable language (e.g. R, MATLAB, or C), you should commit to taking an introductory course or tutorial in Python prior to the start of the course to learn the Python syntax. We have a list of prerequisites with materials to help you catch up. here.

Q:What if I'm not a great coder? Can I still join?

A: You do need to have good programming skills to be able to participate, as described above. However, we will have two levels of goals for every tutorial: one for beginner/intermediate students and one for intermediate/advanced students. This way everybody has reasonable targets to fit their ability levels.

Q: If I decline my interactive placement in 2021 can you defer my application to 2022?

A: No, this is not possible you will need to reapply for 2022.

Payment and Financial

Q: What does it cost to be a student?

A: Registration fees from students will help to support our TAs and we have not yet finalized the amounts. A fee waiver will be available for those who cannot have their fee covered by either their institution, company, or lab and cannot pay on their own. Thus, if you have been accepted into the Academy you are guaranteed to be able to participate regardless of your funding status!

Q: Can I direct pay by invoice via university.

Due to the complexity of processing payment and overseas transfers, technical details of linking wire transfer payments to your account, and delays in university payment processing, we cannot accommodate requests to pay by direct invoice to your university. Please pay your fee by credit card in your student portal. You will receive a receipt. You can ask your supervisor, university, or company to reimburse you according to your local policies.

Q: What if I drop out of the academy?

Dropping out of the academy makes it harder for your pod to work well because there will only be a small number of people at the start of the academy. You will also not receive your certificate of completion and may not be selected to participate in future Neuromatch programs. Of course we understand that unforeseen circumstances can arise and will accommodate those as needed, but please do plan to stay through to the end.

Q: What if I can't attend the whole school?

A: The course content of the Academy is rigorous and cumulative which makes it difficult to keep up if you miss days in the middle. Therefore we expect Interactive students to be present for the whole 3 weeks of the program. However if you need to be absent from the program for any amount of time, tell your TA ahead of time or as soon as possible if it is an emergency. Please also see the next item for the impact of absences on your certificate of completion/participation.

Q: What if I can't attend every Wednesday (or any day) for three hours. Will this be a problem?

A: Yes, you need to be in attendance every day. We suggest you rather sign up as an observer in this case

Q: Will extra info be given to unsuccessful candidates about what is missing from their application?

A: Unfortunately we will not be able to give personalized feedback to applicants.

Q: I can no longer attend NMA. Can I have a refund for my fees paid?

A: NMA hires and commits to paying TAs based on the number of students signed up for the each course and are therefore not able to grant refunds to any students after 24 June EST for either NMA CN or DL. If you have an emergency situation that you feel grants you exemption form this policy, please email support@neuromacth.io with the subject "Special refund request and your name" and we will take your request to the Financial Managers of NMA.

TA Applications, Selection, and Responsibilities

Q: Who should be a TA? What do TAs do?

A: TAs will work closely with a given pod for three weeks to help students solve problems and guide group projects. TAs should have substantial expertise in Python and experience with some aspects of neural data analysis.

Q: I'd like to apply to be a TA but have no neuroscience experience, but I'm experienced in Python. Can I still apply?

A: The computational neuroscience course requires TAs to have some experience with neuroscience, since a central theme of the course is learning how to appropriately apply models to neuroscience.

The Deep Learning Course does not require TAs to have experience with neuroscience. If you have questions about your ability to meet the requirements, email us at nma@neuromatch.io.

Q: I am wondering about how my Payment as a TA would be taxed

You will be paid as an independent contractor from within the United States and this may have tax implications depending on where you live and other factors. You will ultimately be responsible for understanding the tax implications but we have created this survey to help you understand. This is only a demonstration form so please do not submit a response to it. If accepted as a TA, you would fill out a similar form to give us your financial details: Financial Demo Form

Q: I completed my TA application but did not receive any kind of email confirmation? How do I know my application was received?

A: We will send a large email blast to everybody who applied to be a TA welcoming them to participate in Round 2 of the application process. If you don't receive this confirmation email by May 10, please sign up again or contact us at nma@neuromatch.io. Please make sure to include your email address in Round 2.

Q: Can I be a TA in week 1 and then a student in week 2 and 3? Can I be a TA and a student?

A: TAs must follow the same group of students through all three weeks. Thus the simple answer is no, you can't be a TA for just a week or two. However, we expect to need several backup TAs, so if you cannot commit to all three weeks please indicate this in your application and we may ask you to be a backup TA!

Q: I'd like to be a TA but it looks to be merit based. Should I also apply as a student?

A: Yes, please do apply both as a TA and a student!

Q: How much do TAs get paid?

A: We have set the payment for TAs at 1500USD for the 2021 year. We have a process that will help you determine what tax forms you will need to satisfy governmental regulations for some countries although ultimately you will be responsible for determining whether your other form(s) of employment are compatible with being paid by NMA. We will have the money for you if you are able to accept it!

Being a Mentor

Q: Who should be a Mentor? What do Mentors do?

A: Mentors can be either academic faculty or industry professionals who are interested in networking with students, answering questions related to their line of work, and, in some cases, providing support on project development

Certificates of completion and course credit

Q: Will students receive a certificate of completion?

A: We have not yet completed our plans for certificates of completion, but they will likely work in a similar fashion as 2020, in which students received a certificate indicating whether they completed the majority of the tutorials, and/or a research project. We will be able to mention the name of your institution on the certificate (for example, Laura Croft from the University of X). The certificate will not be available if you miss a substantial portion of the course.

Q: Will Observer Track students receive certificates?

A: Observers will not receive a certificate of completion.

Q: Will you provide any grades so I can get university credit for participating?

A: We do not plan to give any standardized grades, but you will receive a certificate of completion if you're on the Interactive track and you finish the course according to the evaluation of your TA. This certificate of completion does not automatically guarantee any sort of university credit (because we are not an officially accredited school), but you might be able to talk to your administration about that option. Every school has different policies, so you'll need to take your certificate of completion and the curriculum information to your specific institution or school to see if this is an option for you; unfortunately we can't help facilitate this process given the number of students and universities attended.