From Neuroscience to Artificially Intelligent Systems (NAISys)
September 28 - October 2, 2024
Abstract Deadline: July 12, 2024

Organizers:

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

We are pleased to announce the third Cold Spring Harbor conference on From Neuroscience to Artificially Intelligent Systems (NAISys), which will begin at 7:30 pm on Saturday, September 28 and run through lunch on Wednesday October 2, 2024.

This meeting kicks off CSHL’s NeuroAI Scholars Program where AI scientists are embedded 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).   

Topics:

  • Neurally-Inspired Learning and Meta-Learning Rules
  • Neurally-Inspired Circuits
  • Spiking Neural Networks
  • Interpretable Neural Networks
  • Bio-Inspired Robotics
  • Neurally-Inspired Continual Learning Systems
  • Cognitive Models in AI
  • Unsupervised and Self-Supervised Learning

Speakers:

Max Bennett, Alby AI/Columbia University
Mattias Bethge, University of Tubingen, Germany

SueYeon Chung
, New York University, Flatiron Institute
Eva Dyer, Georgia Institute of Technology
Elisa Donati, University of Zurich, Switzerland
Alona Fyshe, University of Alberta, Canada
Ann Hermundstad, Janelia Research Campus
Giacomo Indiveri, University of Zurich, Switzerland
Nancy Kanwisher, Massachusetts Institute of Technology
Alex Koulakov, Cold Spring Harbor Laboratory
Guillaume Lajoie, Universite de Montreal
Brenden Lake, New York University
Mackenzie Mathis, Swiss Federal Institute of Technology in Lausanne, Switzerland
Alva Noe, University of California, Berkeley
Doina Precup, McGill University, Canada/ Google DeepMind
Carsen Stringer, Janelia Research Campus
Andreas Tolias, Baylor College of Medicine
Alexander B. Wiltschko, Osmo
Daniel Yamins, Stanford University
Guangyu Robert Yang, Massachusetts Institute of Technology

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 Kelley McGrath. 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 Kelley McGrath


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.

Pricing:

In-Person Fees
Academic/Media Private Room/Private Bath Package: $1775 (Subject to availability.)
Academic/Media Private Room/Shared Bath Package: $1665
Academic Shared Room Package: $1515
Academic/Media No-Housing Package: $1130
Student Package*: $1410
Student No-Housing Package: $1025
Corporate Private Room/Private Bath Package: $2270
Corporate No-Housing Package: $1625

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

Room packages close 2 weeks before the meeting start date

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 first 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 Kelley McGrath.

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. Individuals from low & middle-income countries; 
2. Individuals from non-LMIC countries in Asia, Australasia, Africa or South America; 
3. Individuals from US & Canadian minority-serving institutions; 
4. Individuals with a demonstrable financial barrier; 
5. Individuals with family obligations or other special circumstances. 
For categories 4 & 5 above, please provide a justification via email to Kelley McGrath.


Virtual Fees:
Academic Virtual Package: $340
Grad Student Virtual Package: $210

Corporate Virtual Package: $505

Late Fee (Registrations submitted after 5:00 p.m. ET on September 23, 2024)

Late Academic Virtual Package: $440
Late Student Virtual Package: $310
Late Corporate Virtual Package: $605