[4eyes] FW: [Dynsfaculty] DYNS Seminar Tuesday 5/30 at 11am

[Matthew Turk]

Last-minuite announcement (this is today at 11:00am), but here's a talk by
Miguel Eckstein's PhD student on dimensionality reduction in machines and
brains:

-----Original Message-----

HI All,

DYNS Seminar Tuesday 5/30 at 11am in Psychology East 3834 will be held by
Puneeth Chakravarthula (Psych):


Title: Dimensionality Reduction: Machines vs. Brains

Abstract:
There has been a lot of interest recently in the field of machine 
learning about how we can reduce the dimensionality of datasets because 
it helps simplify models and also helps compress data. On the other 
hand, our brain has evolved to handle massive amounts of incoming 
sensory information by various clever ways to reduce the dimensionality. 
What information is retained by the brain? How does the brain cover up 
for the lost information? What are some of the differences between the 
way current algorithms achieve dimensionality reduction as compared to 
the brain? Can we come up with biologically inspired machine learning 
algorithms that can achieve the same kind of dimensionality reduction? 
In my talk, I will outline some popular methods for dimensionality 
reduction and discuss ways to understand how the brain does it.

See you then!
Stella