Events

Neuromatch Academy teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants. 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, which will happen in parallel for 3 weeks. Student and TA applications accepted March 28th to April 20th.

This event aims to bring together spike sorting developers and experts to tackle open and unsolved spike sorting issues and to move the spike sorting field forward in an open and highly collaborative fashion. Come join the developers of popular spike sorting tools including YASS, SpikeInterface, SpyKING CIRCUS, Mountainsort, and many more.

The event will take place both at the Flatiron Institute and virtually.

The Simons Collaboration on the Global Brain hosts a Global group meeting to bring together postdocs and PhD students interested in neural coding and dynamics to discuss ideas and data. This quarter's speaker is:

James Roach
Postdoctoral Researcher, Churchland Laboratory
University of California, Los Angeles
Two roles for choice selective inhibition in decision-making circuits

The Simons Collaboration on the Global Brain hosts a Boston-area group meeting to bring together postdocs and PhD students interested in neural coding and dynamics. This month's speaker is:

Rishi Rajalingham
Postdoctoral Fellow, Jazayeri Laboratory
McGovern Institute for Brain Research
Massachusetts Institute of Technology
The role of mental simulation in primate physical inference abilities

The Simons Collaboration on the Global Brain hosts an NY-area group meeting to bring together postdocs and PhD students interested in neural coding and dynamics to discuss ideas and data. This month's speaker is:

Justin D Yao
Postdoctoral Associate, Sanes Laboratory
New York University
Transformation of sound encoding to auditory decisions

The Simons Collaboration on the Global Brain hosts a West Coast group meeting to bring together postdocs and PhD students interested in neural coding and dynamics.

This month's speaker is:

Will Liberti
Postdoctoral Fellow, UC Berkeley
A stable hippocampal code for stable spatial behaviors

The Simons Collaboration on the Global Brain hosts a Global group meeting to bring together postdocs and PhD students interested in neural coding and dynamics to discuss ideas and data. This quarter's speaker is:

Olivia Gozel
Postdoctoral Researcher, Doiron Laboratory
The University of Chicago
Between-area communication through the lens of within-area neuronal dynamics

Europe’s largest international neuroscience conference, covering all domains in modern brain research from basic to translational research.

The course teaches the central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. During the course’s mornings, distinguished international faculty deliver lectures on topics across the entire breadth of experimental and computational neuroscience. For the remainder of the time, students work on research projects in teams of 2 to 3 people under close supervision of expert tutors and faculty.
Application deadline extended: March 28, 2022

The Neurodata Without Borders project (NWB, nwb.org) is an effort to standardize the description and storage of neurophysiology data and metadata. NWB enables data sharing and reuse and reduces the energy-barrier to applying data analytics both within and across labs. The purpose of the hackathon is to bring the experimental neurophysiology community together to further adoption and the development of NWB, the NWB software libraries, and the progress of the scientific workflows that rely on NWB. Members of the community will exchange ideas and best practices for using NWB and the libraries, share NWB based tools, surface common needs, solve bugs, make feature requests, brainstorm about future funding and collaboration, and make progress on current blockages. Application deadline June 1.

MCN introduces students to the computational and mathematical techniques that are used to address how the brain solves problems at levels of neural organization ranging from single membrane channels to operations of the entire brain. This course is appropriate for graduate students, postdocs and faculty in a variety of fields, from zoology, ethology, and neurobiology, to physics, engineering, and mathematics. Students are expected to have a strong background in one discipline, and to have made some effort to introduce themselves to a complementary discipline. Deadline: March 30, 2022

isiCNI is an opportunity for African and international students to learn about cutting edge research techniques in computational neuroscience. The format of the school will be a combination of intensive lectures on advanced topics in computational and theoretical neuroscience as well as practical exercises in simulation and data analysis. In addition, students will perform a mini-research project under the supervision of one of the school tutors, to be presented at the end of the school. Deadline Feb 4, 2022.

An intensive, project-based residential course with a focus on the neurobiology of sensory processing, coding, and neural population dynamics. This program is intended for researchers at the graduate and postdoctoral level with an interest in developing the intersection of their scientific knowledge and their computational skills. Applications due February 1, 2022.

A Mediterranean, Middle Eastern Summer School in Neuroscience. In this ten-day summer school, students will attend lectures delivered by leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region, either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Application will open March 15, 2022.

The Ascona 2022 Neuronal Circuits Meeting will present work on how specific neuronal circuits encode information and drive behavior, on how brain systems interact to produce specific functions, on the developmental and genetic basis of circuit function, on circuit function in social behaviors, on the function of neuromodulatory systems in animal behavior, and on how circuit adjustments and brain states influence learning and behavior. Application deadline: April 30th, 2022

September 28th, 2022: Virtual Data Showcase

October 3-5, 2022: Allen Institute, Seattle, WA, USA

The DANDI Archive now has over 90 publicly available neurophysiology datasets, standardized using NWB, including cutting edge data produced by the OpenScope project which has been designed and packaged to enable secondary analysis. Come to the Allen Institute to learn how to access and analyze these datasets efficiently and work together or solo on a re-analysis project of your design. Software developers and scientists will be available to assist attendees on their projects. Explore the datasets at https://dandiarchive.org. Applications are due June 17.

Each year, scientists from around the world congregate to discover new ideas, share their research, and experience the best the field has to offer. Attend so you can: present research, network with scientists, attend sessions and events, and browse the exhibit hall. Proposal submission is open through January 25. Abstract submission will open on Wednesday, June 1 and will close on Wednesday, June 15 at 5 p.m. EDT.

Recent advances in deep neural networks (DNNs), combined with open, easily-accessible implementations, have made DNNs a powerful, versatile method used widely in both machine learning and neuroscience. These advances in practical results, however, have far outpaced a formal understanding of these networks and their training. The dearth of rigorous analysis for these techniques limits their usefulness in addressing scientific questions and, more broadly, hinders systematic design of the next generation of networks. Recently, long-past-due theoretical results have begun to emerge from researchers in a number of fields. The purpose of this conference is to give visibility to these results, and those that will follow in their wake, to shed light on the properties of large, adaptive, distributed learning architectures, and to revolutionize our understanding of these systems. Abstract submissions due August 1, 2022.