Global Brain

Conference on the Mathematical Theory of Deep Neural Networks:
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 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.

UPDATE:
Postponed: COVID-19: Because of the ongoing COVID-19/SARS-CoV-2 outbreak, CSHL and the organizers have reached the difficult decision to postpone the meeting on From Neuroscience to Artificially Intelligent Systems originally scheduled for March 24-28, 2020 until November 8-12, 2020.
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Artificial intelligence (AI) and neural networks have long drawn on neuroscience for inspiration. However, in spite of tremendous recent advances in AI, natural intelligence is still far more adept at interacting with the real world in real-time, adapting to changes, and doing so under significant physical and energetic constraints. The goal of this meeting is to bring together researchers at the intersection of AI and neuroscience, and to identify insights from neuroscience that can help catalyze the development of next-generation artificial systems.

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.

Srinivas Gorur-Shandilya
Postdoctoral Researcher, Marder Laboratory
Brandeis University
Mapping the structure of circuit dynamics during function and disruption

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 to discuss ideas and data.

Christina K. Kim
Postdoctoral Researcher, Ting Laboratory
Department of Genetics and Bioengineering, Stanford University
Optical and molecular approaches for accessing activated neural ensembles

This Junior Scientist Workshop provides an exciting opportunity for graduate students and recent PhDs interested in the mechanistic basis of cognition to present their research to a diverse audience and discuss ideas for the future, while also discovering potential independent early-career options at Janelia. Apply by September 15, 2020.

What could neural dynamics have to say about neural computation, and do we know how to listen? Speakers will deliver focused 10-minute talks, with periods reserved for broader discussion on topics at the intersection of neural dynamics and computation. Register here.

The Simons Collaboration on the Global Brain holds a virtual program-wide postdoc and student group meeting to bring together trainees interested in neural coding and dynamics to discuss ideas and data. Our speaker is:

Cheng Xue
Postdoctoral Researcher, Cohen Laboratory
University of Pittsburgh
Decisions in an ever-evolving world: how the brain makes perceptual judgements under dynamic belief states

This brand-new, cross-cutting digital neuroscience event is designed to facilitate scientific exchange – regardless of area of specialty – across the globe and across the field, providing scientists at all career stages with opportunities to learn, collaborate, and connect. Abstract submission opens Monday, November 2 and closes Friday, November 13 at 5 p.m. EST.

Neuropixels probes represent a major advance in neural recording technology. The workshop will consist of both interactive seminars and hands-on training sessions, with the goal of teaching you the skills required to set up Neuropixels experiments in your lab. Emphasis will be placed on multi-probe recordings, which take advantage of the unique capabilities of Neuropixels technology. Applications are due by April 1, 2020

The annual Cosyne meeting provides an inclusive forum for the exchange of experimental and theoretical/computational approaches to problems in systems neuroscience. Cosyne topics include (but are not limited to): neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. Participants include pure experimentalists, pure theorists, and everything in between. Abstract submission deadline: November 12, 2020