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.
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 students is now closed.
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
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. The first round application period has closed. Round 2 applications can be found here. Applicants who did not apply during Round 1 can still submit a Round 2 application; we will assess these late applications based on availability.
Mentors · We also need help from faculty members who are in the 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 if you do not have Google form access.
Please see the syllabus here.
If you have further questions, please read our FAQ page before sending specific questions.