From Neuroscience to Artificially Intelligent Systems (NAISys)
POSTPONED TILL November 8 - 12, 2020
Abstract Deadline: August 14, 2020


Raia Hadsell, DeepMind, United Kingdom
Blake Richards, Mila, Québec AI Institute, Canada
Anthony Zador, Cold Spring Harbor Laboratory


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.  We realize this is very inconvenient for you and hope you understand how difficult this decision has been to make. We are very much hoping that many of you will be able to participate in November and that you are able to change your travel plans with minimal cost and disruption. 

We hope you understand this decision and sincerely regret how this may impact your upcoming plans.

If we do not hear from you we will assume you are still planning to attend the meeting. If you are unable to attend, we ask that you let us know as soon as possible (by March 18) to be eligible for a full refund.Thereafter our normal cancellation policies will apply.


The postponed NAISys 2020 meeting will now begin at 7:30 pm on Sunday, November 8 and run through lunch on Thursday, November 12, 2020. 

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 are welcomed on all scientific topics related to how principles and insights from neuroscience can lead to better artificial intelligence. Topics of interest include but are not limited to network architectures, computing with spiking networks, learning algorithms, active perception, inductive bias, meta-learning, and online learning. Please note that abstracts should be ONE page (~2900 characters).   

Keynote speakers (pending reconfirmation):
Yoshua Bengio, Université de Montréal
Yann Lecun, NYU/Facebook

Invited Speakers (pending reconfirmation):
Kwabena Boahen, Stanford University
Dmitri Chklovskii, Simons Foundation
Anne Churchland, Cold Spring Harbor Laboratory
Claudia Clopath, Imperial College London, UK
Jim DiCarlo, MIT
Chelsea Finn, Stanford University
Surya Ganguli, Stanford University
Jeff Hawkins, Numenta
Konrad Kording, University of Pennsylvania
Timothy Lillicrap, DeepMind
Yael Niv, Princeton University
Bruno Olshausen, UC Berkeley
Cristina Savin, New York University
Terry Sejnowski, Salk Institute for Biological Studies
Sebastian Seung, Princeton University
Eero Simoncelli, New York University
Sara A. Solla, Northwestern University
David Sussillo, Google Brain
Andreas Tolias, Baylor College of Medicine

Abstracts should contain only new and unpublished material and must be submitted electronically by the abstract deadline. Selection of material for oral and poster presentation will be made by the organizers and individual session chairs. Status (talk/poster) of abstracts will be posted on our web site as soon as decisions have been made by the organizers.

We are eager to have as many students and postdocs as possible to attend since they are likely to benefit most from this meeting. We have applied for funds from industry and foundations to partially support graduate students and postdocs. Apply in writing stating need for financial support to Catie Carr at Preference is given to those submitting abstracts. 

All questions pertaining to registration, fees, housing, meals, transportation, visas, abstract submission or any other matters may be directed to Catie Carr at

We anticipate the following support :

National Science Foundation


Academic Package: $1,560
Graduate/PhD Student Package:
Corporate Package: $2,255
Academic/Student No-Housing Package: $1,055
Corporate No-Housing Package: $1,580

Regular packages are all-inclusive and cover registration, food, housing, parking, a wine-and-cheese party, cocktail reception, and lobster banquet. No-Housing packages include all costs except housing. Full payment is due four weeks prior to the meeting.