Events
Past Events
Two days of talks, keynote lectures and discussion panels at the crossroads of biological and artificial intelligence. Watch out also for the 2-day educational session on Nov 25-26, 2021. Registration is free but mandatory.
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SfN's 50th annual meeting is the premier venue for neuroscientists to present emerging science, learn from experts, forge collaborations with peers, explore new tools and technologies, and advance careers. Abstract submission will open on Tuesday, July 6 and will close on Thursday, July 15.
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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.
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Neuropixels probes are transforming neurophysiology, and are now adopted by hundreds of laboratories worldwide. This course trains scientists to use these probes and to process their output using Kilosort and Phy. Registration deadline: October 1, 2021.
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The 2021 Champalimaud Research Symposium (CRS21) focuses on the interface of neuroscience, artificial intelligence and machine learning with the main goal of starting an interdisciplinary conversation about the deep conceptual problems that emerge when trying to understand how intelligent behavior is produced in animals and machines. The topic will be highlighted from different angles to promote a worthwhile cross-talk between experimental and computational researchers. Professor Manuela Veloso (Carnegie Mellon University), Professor Jim DiCarlo (MIT McGovern Institute) and Professor Anthony Zador (Cold Spring Harbor Laboratory) will be the keynote lecturers. Due to the outbreak of the new coronavirus, the CRS21 may be held as a hybrid or virtual event. Abstract submission is open until July 23.
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Highlights from systems neuroscience research happening in labs across Boston University, alongside guest lectures by world-leading computational neuroscientists. The event will take place both virtually and at Boston University.
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Past Events
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.
The speakers this month are:
Anna Gillespie
Postdoc with Loren Frank's lab, University of California, San Francisco
Operant Conditioning of Hippocampal Replay
Matt Golub, postdoc with Krishna Shenoy (Stanford EE), Bill Newsome (Stanford Neurobiology), and David Sussillo (Google Brain)
Joint neural-behavioral models of perceptual decision making
- SCGB
The Simons Collaboration on the Global Brain hosts a postdoc-focused NYC-area group meeting every other month to bring together postdocs interested in neural coding and dynamics, to discuss ideas and data.
The speakers this month are:
Arkarup Banerjee
Junior Fellow, Simons Foundation Society of Fellows, New York University Langone Medical Center
Cortical control of vocal interactions in a neotropical singing mouse
Monika Scholz
Dicke Fellow, Department of Physics, Princeton University
Reading the mind of the worm: Brain-wide neural dynamics predict behavior in C. elegans
- SCGB
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.
Emily P. Stephen
Postdoctoral Associate with Drs. Emery Brown and Patrick Purdon, MIT
Evidence that posterior and anterior phase amplitude coupling distinguish unconsciousness from unarousability in propofol anesthesia
Kohitij Kar
Postdoctoral Associate, McGovern Institute for Brain Research, MIT (DiCarlo Lab)
Testing and improving primate ventral stream models of core object recognition
- SCGB
Speakers:
Guangyu Robert Yang
Junior Fellow, Simons Society of Fellows/ Postdoctoral Research Scientist, Zuckerman Institute, Columbia University, Abbott lab
Recovering the Connectivity of Olfactory Systems Using Artificial Neural Networks
Ida Momennejad
Associate Research Scientist at Columbia University, Jacobs lab
Multi-scale Predictive Representations in Memory and Planning
- SCGB
Speakers:
Robert G.K. Munn, PhD
Postdoc in Giocomo Lab, Stanford University
Entorhinal velocity signals reflect environmental geometry
Jennifer Sun, PhD
Postdoc in Stryker lab, University of California, San Francisco
Temporal coupling of locomotion and visual plasticity
- SCGB
Seth W. Egger
Postdoctoral Associate at McGovern Institute for Brain Research, MIT
Internal models of sensorimotor integration regulate cortical dynamics
SueYeon Chung
BCS Fellow in Computation, MIT
Classification and geometry of neural manifolds, and the application to deep networks
- SCGB
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