Journal Club

Mission Statement

This journal club aims to provide a forum for discussing neurons, brains, and behavior among people with diverse quantitative and neurobiology backgrounds. Weekly meetings will focus on a paper relevant to a theoretical understanding of some neuroscientific problem or system. Graduate students and postdocs are especially encouraged to attend and propose/present papers. Appropriate papers present neural data, theoretical models, foundational principles for computation, new statistical, mathematical, or machine learning methods, etc.

Time & Place

Wednesdays, 2pm, NHB 3.202.


If you want to be added to the email list or sign up to present, please contact Rishidev Chaudhuri ( or Manyi Yim (



Date Presenter and readers Reading
09.20.2017  Alex Huth recent work
09.27.2017  Rishidev Chaudhuri Park IM & Pillow JW. (2017) Bayesian Efficient Coding. [bioRiv:10.1101/178418]
10.04.2017  Manyi Yim Chenkov N, Sprekeler H & Kempter R. (2017) Memory replay in balanced recurrent networks. Plos Comp Biol. [PDF]
10.11.2017  Subhadra Mokashe Benna MK & Fusi S (2016) Computational principles of synaptic memory consolidation. Nat. Neurosci. [PDF]
10.18.2017  Ingmar Kanitscheider Shwartz-Ziv R & Tishby N (2017) Opening the Black Box of Deep Neural Networks via Information. [arXiv:1703.00810]
10.25.2017  Kate Bonnen
11.01.2017  Oliver Muthmann
11.08.2017  Kim Houck
11.22.2017  Thanksgiving  –
11.29.2017  Chris Roth
12.06.2017  Tzuhsuan Ma
12.13.2017  Andrei Khilkevich