Neuromatch Academy 2020

An online school for Computational Neuroscience

Started by the team who created CoSMo summer school, CCN SS, Simons IBRO, and neuromatch conference , we announce a worldwide academy to train neuroscientists to learn computational tools, make connections to real world neuroscience problems, and promote networking with researchers.
Please see our message to the NMA community about our involvement with Iranian residents.
For Current Interactive Students · Please visit our github page for all up-to-date course content. The discussion forum for students is hosted by Neurostars. The student portal for administrative matters will be coming shortly.

Objectives

Introduce traditional and emerging computational neuroscience tools

Learn hands-on skills with neuro data

Understand how these tools relate to biological questions

Build networking, professional development, and how-to-model skills

Audience · undergraduate, graduate, postdoctoral, professors; experimentalists and computational neuroscientists (all tutorials will have beginners, intermediate and advanced components)
Registration · The application period for Interactive students is now closed. You can sign up as an Observer by filling out this form. Observers do not get TA guidance but can sign up to be matched into groups with fellow Observers and work on tutorials together.
Prerequisite · Python, basic math, introductory neuroscience. Please see Github repository for precourse reading.
School · July 13 - 31, 2020, across multiple timezones, available worldwide
Mission statement · See statement here
· Small fee for full-time students/academics, with fee waivers available
· Megan Peters (UC Irvine), Konrad Kording (UPenn), Gunnar Blohm (Queen’s), Paul Schrater (UMN), Brad Wyble (Penn State), Sean Escola (Columbia), and the Neuromatch Academy team
· Neuromatch Academy, #NeuromatchAcademy
· neuromatchacademy@neuromatch.io


Overall Structure · Signals (Week 1), Statistics, Behaviors, Neurons (Week 2), Machine Learning and advance approaches (Week 3)
Participation options · 1) Interactive track - access to courses and teaching materials, TAs, mentors, careers, projects 2) Non-interactive track - access to courses and materials
Micro Structure · 4 hours lectures and hands-on Python tutorials (with TAs!), 1 hour interpretation (what did we learn today, what does it mean, underlying philosophy), 1 hour professional development/meta-science, networking activities, evening 3-week small group projects (with how-to-model mentoring).
Social activities · Aside from lectures and tutorials, there will be social and professional events. This aims to help participants, to plan their career (e.g. find postdocs, negotiate, startups, early career), do professional networking, discuss collaborations, exchange experiences. We will also arrange one-on-one meetings with professors and fellow researchers based on participants preference and their expertise (matchmaking).


TAs · TAs help participants with tutorials and 3-week small-group projects.

Mentors · We also need help from faculty members, senior postdocs, and members of industry who are knowledgeable about neuroscience, mathematics, cognitive science, and other related fields to provide mentorship to students. If you are interested in contributing in this way, please fill out this form.


Syllabus

Please see the syllabus here.


FAQ

If you have further questions, please read our FAQ page before sending specific questions.

Presenting Sponsor

Organizers and Sponsors