From Neuroscience to Artificially Intelligent Systems (NAISys)
April 5 - 9, 2022
Abstract Deadline: January 21, 2022


Doris Tsao, University of California Berkeley/HHMI
Blake Richards, Mila, Québec AI Institute, Canada
Anthony Zador, Cold Spring Harbor Laboratory


COVID-19: All participants will be required to provide documentary proof of full vaccination (including boosters) with a FDA or EMA approved vaccine. Additional safety measures will be in line with current NY and federal guidelines applicable in spring 2022.


We are pleased to announce the second Cold Spring Harbor conference on From Neuroscience to Artificially Intelligent Systems (NAISys), which will begin at 7:30 pm on Tuesday, April 5 and run through lunch on Saturday, April 9, 2022.

This meeting kicks off CSHL’s NeuroAI Scholars Program where AI scientists are imbedded in CSHL’s world-class neuroscience laboratories for an exciting two year exchange of interdisciplinary study. For more information please visit CSHL's NeuroAI Webpage.

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).   


  • Neuro for AI
  • Bio-inspired Learning and Architectures I
  • Bio-inspired Learning and Architectures II
  • Learning Motion/Motor Cortex Models
  • Continual Learning/Plasticity
  • Representation Learning
  • Vision and Neuromorphic Hardware
  • Causality and Compositionality


Andrew Barto, University of Massachusetts
Matt Botvinick, Deep Mind, United Kingdom
Mike DeWeese, University of California Berkeley
Tatiana Engel, Cold Spring Harbor Laboratory
Sam Gershman, Harvard University
David Ha, Google Brain, Japan
Christof Koch, Allen Institute for Brain Science
Simon Kornblith, Google Inc.
Wolfgang Maass, Graz University of Technology, Austria
Alexandre Pouget, University of Geneva, Switzerland
Anna Schapiro, University of Pennsylvania
Friedemann Zenke, Friedrich Miescher Institute for Biomedical Research, Switzerland
Blaise Aguera y Arcas, Google
Kanaka Rajan, Icahn School of Medicine
Aude Oliva, Massachusetts Institute of Technology
Pieter Roelfsema, Netherlands Institute for Neuroscience, Netherlands
Anima Anandkumar, California Institute of Technology
Irina Rish, Mila-Quebec AI Institute, Canada
Josh Tenenbaum, Massachusetts Institute of Technology
Ida Momennejad, Microsoft Research

The format of the meeting will include eight oral sessions and two poster sessions. Each oral session will include invited speakers and speakers selected from submitted abstracts. For this reason, abstracts from accomplished junior and senior investigators are warmly invited. The abstracts should focus on new and unpublished data. The organizers will select abstracts for oral or poster presentations. The status (talk/poster) of abstracts will be posted on our web site (below) as soon as decisions have been made. We have applied for funds from government and industry to partially support graduate students and postdocs. Please apply in writing stating your need for financial support to Samantha Mastronardi. 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 Samantha Mastronardi.

We anticipate the following support :

National Science Foundation

Social Media:

The designated hashtag for this meeting is #cshlNeuroAI. Note that you must obtain permission from an individual presenter before live-tweeting or discussing his/her talk, poster, or research results on social media. Click the Policies tab above to see our full Confidentiality & Reporting Policy.


In-Person Fees
Academic/Media Private Room/Private Bath Package: $1,655 (Subject to availability.)
Academic/Media Private Room/Shared Bath Package: $1,555
Academic Shared Room Package: $1,415
Academic/Media No-Housing Package: $1,055
Student Package*: $1,315
Student No-Housing Package: $955
Corporate Private Room/Private Bath Package: $2,115
Corporate No-Housing Package: $1,515

*Student Housing is default double occupancy. Please enquire about availability and fees to upgrade to private room.

Rules for Virtual Participation: Virtual participation will include access to the oral sessions via Zoom, access to the digital poster sessions and access to the Slack discussion channel, and the Leading Strand video archive.

Presenters: Individuals submitting abstracts and facing financial barriers should firstly request financial aid (see above). Permission to present your talk or poster virtually will be given only in exceptional circumstances and on a case-by-case basis. If you think you are eligible for an exemption from the requirement to present in person, please provide a justification in writing via email to Samantha Mastronardi.

Non-presenting participants: We plan to broaden access to the conference by allowing certain categories of non-presenting participants to attend virtually at reduced fees. Categories include: 
1. Additional members of individual laboratories (4th or more lab member) - PI must supply list of lab members via email to Samantha Mastronardi
2. Individuals from low & middle income countries; 
3. Individuals from non-LMIC countries in Asia, Australasia, Africa or South America; 
4. Individuals from US & Canadian minority serving institutions; 
5. Individuals with a demonstrable financial barrier; 
6. Individuals with family obligations or other special circumstances. 
For categories 5 & 6 above, please provide a justification via email to Samantha Mastronardi

Virtual Fees
Academic Virtual Package: $295
Student Virtual Package: $180
Corporate Virtual Package: $435