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Seattle  

Allen Institute for Brain Science Tour and Talk

Friday, Apr 15, 2016
01:00 pm - 02:30 pm

Allen Institute Facilities
615 Westlake Ave N, Seattle, WA

Regular price $ 0.00

Sold Out!

This event is now sold out. However, due to the popularity, we will investigate additional tours in the future. Thank you for your interest!

The Caltech Alumni Association is pleased to offer a tour of the Allen Institute for Brain Science (AIBS) brand new facility in South Lake Union, followed by a research talk by Stefan Mihalas (PhD ’06), assistant investigator. The mission of AIBS is “to accelerate the understanding of how the human brain works in health and disease.” Christoph Koch, Caltech’s former executive officer for Computation and Neural Systems, is now Allen’s president and chief scientist. AIBS developed the Allen Brain Atlas, where researchers and the public can explore brain mapping data.

  • Tour will take about 45 minutes.
  • Space is limited to 15 people. We will confirm your attendance 10 days before the event and use our waitlist for cancellations.
  • Unfortunately, the institute cannot accommodate children at this event.

 

Stefan Mihalas (PhD ’06)
Assistant Investigator
Allen Institute for Brain Science

Stefan Mihalas joined the Allen Institute in 2011 from Johns Hopkins University, where he was a postdoctoral fellow in neuroscience and subsequently an associate research scientist. As a computational neuroscientist, Mihalas has worked on models of both molecular and systems neuroscience including nervous system development, synaptic plasticity, minimalistic spiking neuron models, self-organized criticality, visual attention and figure ground segregation. His current research interests are aimed at building models to elucidate how large networks of interacting neurons produce cognitive behaviors. At the Allen Institute, Mihalas integrates anatomical and physiological connectivity data to generate models of visual perception in the mouse. To this end, he works to build a series of models of increasing complexity for both individual components, i.e., neurons, synapses, and microcircuits, as well as for large portions of the entire system. This series of models will be compared to the simplified theoretical predictions from statistical physics, information theory and computer vision. Mihalas received his Diploma in physics and M.S. in mathematics from West University of Timisoara in Romania. He received his Ph.D. in physics from the California Institute of Technology.

Learn more about Allen Institute for Brain Science »




Questions? 
Dan Liebling (BS ’02)
dan.liebling@gmail.com
(206) 604-4533



See related news about the Allen Institute from Science magazine: 

Microsoft pioneer invests big, again, in bioscience

 

Questions? Contact: dan.liebling@gmail.com

Seattle: Allen Institute for Brain Science Tour and Talk

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