© 2016 by CS. Created with Wix.com 




Meyer Hall Room 753
4 Washington Place

New York, NY 10003

Tel: +1 (212) 995-2802


60 5th Ave, Room 608

New York, NY 10011


Memory is the way we keep telling ourselves our stories...

Alice Munro




We use tools from machine learning and statistics to figure out how learning and memory happen at the level of neural circuits. 

Studying learning, in brains and machines. 

Interaction between  theory and experiment

Theoretical neuroscience:

How do memories form and what happens when we remember them?

How do we learn about the structure of our sensory world?

How do we know that we don't know?

Data analysis:

Characterizing the statistics of neural activity patterns:

How do neurons work together to achieve circuit function?

How do their interactions change due to learning?

  • Febr '20 | Cristina receives Google faculty award (Kyunghyun Cho co-PI). 
  • Jan '20    | Colin and David's work accepted at Cosyne
  • Oct '19   | Owen and Colin to present their work in NeurIPS 2019 workshops. 
  • Sept '19 | Caroline's paper accepted for the NeurIPS 2019 main meeting. 
  • July '19  | Check out Owen's new paper on online training of recurrent networks!   
  • May '19 | Caroline receives Google fellowship; Camille awarded an NSF GRFP.   
  • Jan '19   | Four posters accepted to Cosyne
  • Dec '18  | Eun Hye Park's paper on head direction coding published in Neuron.
  • July '18  | Paper on unsupervised learning in neural circuits published in Scientific Reports.
  • Sept '17 | New MaxEnt review published in Curr Opin Neurobiol.
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