UCL NeuroAI Conference 2024

The 2024 UCL NeuroAI Annual Conference features leading speakers from around the world at the cutting edge of machine learning and neuroscience. The rise of AI has gathered pace in recent years and will continue to fundamentally change our ways of life. This flagship NeuroAI event aims to foster collaboration and discussion between machine learning researchers and neuroscientists.

This event is open to both UCL and non UCL attendees. Registration is necessary in order to receive final details.

There will be poster sessions and lightning talks during the conference and the abstract submission is now open. Further details are provided below.

The last decade has seen phenomenal advances in the fields of machine learning (e.g. deep learning, reinforcement learning, and AI). While these changes have already had considerable impact on most areas of science they hold a particular resonance for neuroscience.

Crucially, AI shares a common lineage with neuroscience and fundamentally machine learning and the brain employ similar computations to process and compress information. For these reasons AI provides a means to emulate neural functions and the circuits supporting them, providing insights to aid our understanding of the brain and cognition.

Equally, AI tools provide a means to discover, segment, and track distinct neural and behavioural states - yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models. Essentially, AI problems posed in neuroscience both require and inspire further advances in AI.

Event Programme

9:00 - Welcome

9:05 - 17:00 - Talks/presentations

17:00 - 18:00 - Networking reception

We are delighted to confirm the following speakers:

Claudia Clopath (Imperial College London, Sainsbury Wellcome Centre)
Rui Ponte Costa (University of Oxford)
Erin Grant (Sainsbury Wellcome Centre)
Kevin Miller (Google DeepMind, UCL)
Maneesh Sahani (Gatsby Computational Neuroscience Unit)
Cristina Savin (New York University)
Anthony Zador (Cold Spring Harbor Laboratory)

A detailed programme will be available soon.

Poster and lightning talks - Submissions are now open!

On registration, all attendees are eligible to submit an abstract for poster or a short lightning presentation on the day. The deadline is Wednesday 19 June 2024, 13:00 and you will be notified week commencing 24 June 2024 if your poster or lightning talk has been accepted on the basis of the submitted abstract.

When preparing your abstract, bear in mind that the attendees will have diverse scientific backgrounds and the talk should therefore be accessible to the entire NeuroAI community. Please do not exceed the 200 word count.

Please note the following details in order to ensure you submit correctly:

Select the ticket type 'Lightning/Poster Submission and in-person ticket'.

You'll also need to provide your presentation preference due to the programme timings and space available.

If you have any questions please email: [email protected].

We are immensely grateful for the support from Sainsbury Wellcome Centre.

If you wish to sponsor this event and exhibit at the symposium or wish to request further information about sponsorship opportunities available, please email: [email protected].

Access

We want to make this event as inclusive as possible.

• There is a ramp/slope at the entrance of UCL Great Ormond Street Institute of Child Health. The ramp/slope is located to the right as you face the entrance.

• There are nearby accessible toilets

• We can provide for a range of dietary requirements (vegetarian/vegan)

Please let us know when registering if you have any access or dietary requirements so we can try to make reasonable adjustments.

View the full Accessibility Guide for UCL Great Ormond Street Institute of Child Health

The event will be livestreamed for those who are unable to attend in person. Please register as usual and the virtual joining instructions will be sent nearer the time.

Contact:

If you have any questions about the event please email: [email protected].

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