Events
Past Events
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. Founded by Adrienne Fairhall and Christof Koch, the Summer Workshop on the Dynamic Brain is co-hosted by the Allen Institute for Brain Science and the Computational Neuroscience Center at the University of Washington. Application deadline: Thursday, March 25, 2021
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This symposium will discuss challenges and solutions for data sharing, and provide an overview of the tools and languages that make data findable, accessible, interoperable and reusable (FAIR).
Symposium: Monday, August, 9, 2021 from 1:00-4:00 p.m. EST
Hands-on workshop: Tuesday, August 10, 2021 from 12:00-4:00 p.m. EST
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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:
Kayvon Daie
Research Associate, Svoboda Laboratory
HHMI's Janelia Research Campus
Dissection of the neural circuitry underlying short-term memory
- SCGB
This course introduces students to the computational and mathematical techniques that are used to address how the brain solves these problems at levels of neural organization ranging from single membrane channels to operations of the entire brain. The 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.
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Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. Deadline to apply: May 7
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Started in response to the COVID-19 pandemic, Neuromatch Academy is a non-profit course in computational neuroscience. Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees. Our student population ranges from undergraduates to faculty in academic settings and also includes industry professionals. Students have a diversity of backgrounds including experimental and computational neuroscience and machine learning. NMA-Computational Neuroscience: July 5-23 NMA-Deep Learning: Aug 2-20. Applications open on April 15 and you can pre-register here.
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Past Events
Speakers:
Lucas Pinto, Postdoctoral Fellow at Princeton University, Tank and Brody Labs
Widespread cortical involvement in evidence-based navigation
Chris Henry, Postdoctoral Fellow at Albert Einstein College of Medicine, Kohn lab
Crowding alters feature representation in macaque visual cortex
- SCGB
Speakers:
Ann Kennedy, California Institute of Technology
Hypothalamic representations of internal state and behavior
Sophie Aimon, Salk Institute, UCSD/Kavli Institute
Fast whole-brain imaging during behavior in adult Drosophila
- SCGB
Speakers:
Silvia Bernardi, Columbia University
What is an abstract thought? A neurophysiological perspective
Malavika Murugan, SCGB Fellow, Princeton University
Combined social and spatial coding in the prefrontal cortex
- SCGB
Speakers:
Diogo Peixoto, Postdoc in Bill Newsome's lab, Stanford University
Real-time decoding and perturbation of decision states during a perceptual discrimination task
Alireza Alemi, Postdoc in Mark Goldman's lab, University of California, Davis
The brain as an efficient and robust adaptive learner
- SCGB
Speakers:
Corey Ziemba, Postdoctoral Fellow at NYU, Movshon and Simoncelli Labs
Linking physiology and perception with targeted naturalistic stimuli
James Heys, SCGB Fellow at Northwestern University, Dombeck lab
Neural representations of time and space underlying episodic memory
- SCGB
Speakers:
Evan Schaffer, Columbia University
Learning and generalizing with random sensory representations
Kayvon Daie, Janelia Research Campus
Patterns of network interactions revealed by perturbation of neuronal dynamics
- SCGB
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