Ari Morcos

About Me

Apple picking

I am a research scientist at DeepMind in London, working on using neuroscience-inspired approaches to understand and build better machine learning systems.

I earned my PhD working with Chris Harvey at Harvard University. For my thesis work, I worked on methods to understand how neuronal circuits perform the computations necessary for complex behavior. In particular, my research focused on how parietal cortex contributes to evidence accumulation decision-making.

For my undergraduate work, I attended UCSD, where I worked with Fred Gage to investigate the role of REST/NRSF in adult neurogenesis.

When I'm not working, I like to go on adventures throughout London with my partner, Julia, and our awesome dog, Dash. I'm also a history buff and love learning about the history of science, the two World Wars, and the Cold War.

Recent news

Selected publications

Neural scene representation and rendering

SM Ali Eslami*, Danilo J Rezende*, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David P. Reichert, Lars Beusing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil C Rabinowitz, Helen King, Chloe Hillier, Matthew Botvinick, Daan Wierstra, Koray Kavukcuoglu, and Demis Hassabis
Science 15 Jun 2018, Vol. 360, Issue 6394, pp. 1204-1210, doi: 10.1126/science.aar6170

Insights on representational similarity in neural networks with canonical correlation

Ari S Morcos*, Maithra Raghu*, and Samy Bengio
arXiv, 2018. (In submission to NIPS 2018.)

On the importance of single directions for generalization

Ari S Morcos, David GT Barrett, Neil C Rabinowitz, and Matthew Botvinick
International Conference on Learning Representations (ICLR), 2018

History-dependent variability in population dynamics during evidence accumulation in cortex

Ari S Morcos and Christopher D Harvey
Nature Neuroscience vol. 19, no. 12, pp. 1672–1681, 2016. doi: 10.1038/nn.4403.

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