Overview

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 @ 1pm

NHB 4.202.

Contact

If you’d like to be added to the email list or sign up to present, please contact Rishidev Chaudhuri (rchaudhuri [at] austin   [dot] utexas [dot] edu).

Meetings

Date Presenter and readers Reading
02.15.2017

Rishidev Chaudhuri

 

Murray JD, et al. (2017). Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex. PNAS 114. [PDF]

02.22.2017

Tzuhsuan Ma

Bradde S & Bialek W. (2016). PCA meets RG arXiv:1610.09733
03.01.2017

Cosyne

 
03.08.2017  Kim Houck Lillicrap T, et al. (2016). Random synaptic feedback weights support error backpropagation for deep learning.
[PDF]
03.15.2017  Spring break  
03.22.2017  Ingmar Kanitscheider

Zhang C, et al. (2016). Understanding deep learning requires rethinking generalization. [arXiv:1611.03530]

03.29.2017 Canceled  
04.05.2017 Andrei Khilkevich  Litwin-Kumar A, et al. (2017). Optimal degrees of synaptic connectivity. Neuron 93. [PDF]
04.12.2017 Brian Gereke  
04.19.2017  Berk Gercek

 

04.26.2017  

 

05.03.2017  

 

05.10.2017  Julie Charlton