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On Monday 19 March, 宅男视频 Centre for Computation, Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), in association with 宅男视频 Neuroscience Domain hosted 200 researchers at an afternoon symposium entitled 鈥淣euro-AI - Forging Closer Links between Neuroscience and Machine Learning.鈥�

In his welcome address to an audience of academics, students and researchers CoMPLEX Director,听, explained the need for this meeting: 鈥淯CL boasts an exceptional community of Neuroscientists, second only to Harvard on the international stage. 宅男视频 is also home to the leading-edge of research in artificial intelligence (AI) and Machine Learning via the UK鈥檚 top-ranked听Department of Computer Science. The jewel in this crown is the collaboration between the Gatsby Institute and Computer Science, but our hope is to build on this significant foundation and to drive further, bi-directional benefits from collaborations between researchers who share common goals for understanding the basic principles of learning.鈥�

The fields of neuroscience and AI have a long history, and the rates of advance in both areas have increased rapidly. The last 5-10 years have seen a step change in the capability of machine learning, particularly deep learning, that has, in part, been informed by our growing understanding of the brain. In turn, new machine learning tools听provide听a powerful means to explore how information is processed in the brain, mapping sensory data to neural representations, or representations to behavior, for example. Moreover, it appears that deep networks can function as models of the brain and thus generate and test hypotheses.

Talks on various themes followed, with one of the highlights being contrasting talks about adversarial image perturbation - subtle changes made to images which disproportionately impair their classification. The first talk, by Prof. Ken Harris entitled "The Kernel function of the visual cortex鈥�, examined the implications of our understanding of visual processing for adversarial image processing.听 The second talk by Dr. Lewis Griffin from Computer Science considered adversarial images from both the biological and deep network situation with respect to image classification.听听

In his closing remarks,听Professor Trevor Smart, Chair of the UCL Neuroscience Domain thanked attendees for their perceptive contributions: 鈥淚t is not often that we have the opportunity to connect specialist research areas from across UCL. I am confident that today has shown what we can possibly achieve in the future by collaboration. It has drawn out new questions that will develop our understanding of these areas, and no doubt will act as a catalyst to bring the scientific community at UCL together.鈥�

Launched in 1998 as a virtual centre, CoMPLEX has been part of the Department of Computer Science since 2016. Medical and life scientists work shoulder-to-shoulder with engineers, physical scientists and computer science experts. This active and intellectually stimulating environment pioneers interdisciplinary research and collaboration.

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Find out more about CoMPLEX on their听.

Find out more about UCL鈥橲 Gatsby Computational Neuroscience Institute on their听.

Find out more about 宅男视频 Neuroscience Domain here听.

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CoMPLEX and the Neuroscience Domain would like to thank all speakers for their valued contributions:

, Cell & Developmental Biology, Division of Biosciences, UCL

, Department of Computer Science, UCL

, Quantitative Neuroscience, Institute of Neurology and Department of Physiology, Pharmacology, and Neuroscience UCL

, Theoretical Neuroscience and Machine Learning, Gatsby Computational Neuroscience Unit, UCL

, Institute of Cognitive Neuroscience, UCL听

, Department of Computer Science, UCL

,听Motor Neuroscience & Movement Disorders, Institute of Neurology, UCL

,听Department of Computer Science, UCL

Session chairs:听听(Department of Computer Science, UCL) &听Professor Angus Silver, (Department of Neuroscience, Physiology and Pharmacology, UCL).