Events

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:

Farzaneh Najafi
Scientist II
Allen Institute for Brain Science
Excitatory and inhibitory populations exhibit flexible coding and dynamics with stimulus novelty and task engagement

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

This month's speaker is:
Tom Hindmarsh Sten
Graduate Fellow, Ruta Laboratory
The Rockefeller University
Circuit mechanisms for sculpting social interactions in Drosophila

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:

Nader Nikbakht
Postdoctoral Researcher, Fee Laboratory
Massachusetts Institute of Technology
Thalamic maintenance of a complex sequential learned behavior: Birdsong

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

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:

Anna Jasper
Postdoctoral Fellow, Kohn Laboratory
Albert Einstein College of Medicine
Understanding signal flow across cortical areas during perceptual decision making

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:

Subhaneil Lahiri
Research Scientist, Ganguli Laboratory
Stanford University
Do we really have to sort our spikes?

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.

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.

The scope of NMC4 includes computational neuroscience and machine learning work that has a biological link. The event will include a combination of virtual and in-person conference experiences. You are encouraged to host or attend a local meetup, bringing people together to enjoy the conference, without the incredible economic and environmental costs of flying around the world. Abstract submission deadline: October 25, 2021.

The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Deadline for abstract submission: 20 November 2021.

Main meeting: 17 - 20 March 2022, Lisbon, Portugal

Workshops: 21 - 22 March, Cascais, Portugal

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. Abstracts Due: January 21, 2022

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