Events

Representational drift poses the question of how sensory perception, memory, motor behavior, and task performance are maintained over time, and provides a window into the adaptive properties of neural circuits on long timescales. Elucidating the underlying causes and implications of this phenomenon may be crucial to our understanding of how neuronal function underlies basic sensory, motor, and cognitive processes. Proper characterization of drift across the nervous system, both in terms of its function and underlying mechanism, will require concerted effort and cooperation on both experimental and theoretical fronts. This conference will spur these efforts across species, brain regions, cell types and behaviors, and provide a forum for experimentalists and theorists to debate the causes and implications of drift as well as formulate promising directions to gain traction on this question. Application deadline: January 10, 2023

Olfactory navigation is required for the survival of virtually all living creatures from unicellular organisms to mammals. This conference will focus on olfaction and spatial orientation as a unifying theme across organisms with different viewpoints: mechanistic, computational and evolutionary. We will examine how model organisms, with distinct sensory capabilities and constraints have evolved to solve this problem. Application deadline: Jan 10, 2023 (11:59 p.m. ET)

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. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The Workshops feature in-depth discussion of current topics of interest, in a small group setting.

Welcome to the 6th edition of the Montreal AI and Neuroscience conference, Dec 12-13, 2022. We're looking forward to two days of virtual talks, keynote lectures and discussion panels at the crossroads of biological and artificial intelligence. If you're in or close to Montreal, register for in person attendance.

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. Abstract submissions due August 1, 2022.

All Society for Neuroscience annual meeting attendees are welcome to join Simons Investigators and scientific staff from the Simons Foundation Autism Research Initiative (SFARI), Smons Collaboration on the Global Brain (SCGB), and Simons Collaboration on Plasticity and the Aging Brain (SCPAB) for an evening of socializing and updates.