Events
Past Events
Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.
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The workshop will focus primarily on user training, including lessons for complete beginners to NWB and training in more advanced usage of NWB. We will also hold breakout sessions where the developers of state-of-the-art data analysis, visualization, and management tools (e.g., CaImAn, Brainstorm, SpikeInterface, DANDI, suite2p, and more) will demonstrate their tools and show how to use NWB with their tools. Register here.
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UPDATE:"At this time, we anticipate holding the next Summer Workshop on the Dynamic Brain as planned in 2021."
The Summer Workshop on the Dynamic Brain is 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.
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The Simons Collaboration on the Global Brain hosts a postdoc-focused Bay area group meeting every other month to bring together postdocs interested in neural coding and dynamics, to discuss ideas and data.
Louis Kang
Postdoctoral Researcher, DeWeese Laboratory
Redwood Center for Theoretical Neuroscience, UC Berkeley
Topological discovery in spatial representation circuits with persistent homology
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The Simons Collaboration on the Global Brain hosts a postdoc-focused Boston-area group meeting every other month to bring together postdocs interested in neural coding and dynamics, to discuss ideas and data.
Kamila Jóźwik
Postdoctoral Researcher, DiCarlo and Kanwisher Laboratories
Massachusetts Institute of Technology
Brain-inspired deep learning models to study visual object representations in humans and monkeys
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Methods in Computational Neuroscience 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 16, 2020 | Apply Here
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