Analytics + visualization for large-scale neuroscience

We are very excited to have Dr. Freeman talk about data visualization and analytics. We were totally blown away by his presentation at Databricks recently. It was really cool. Come and enjoy his talk.

This talk will be a joint meetup with SF machine learning. The followings are the details of the talk.

Analytics + visualization for large-scale neuroscience

By Jeremy Freeman

Summary: Neuroscience is undergoing a transformation. New technologies are making it possible to monitor and manipulate the nervous system over large scales with tremendous specificity. But we now need computational tools that scale with the size and complexity of the resulting data. I will describe a platform that combines an analytic library, called Thunder, built on top of Apache Spark, for batch and stream data processing and machine learning, and a web-based visualization engine called Lightning, built from the ground up to handle large data sets and data streams, and leveraging the power of modern libraries like d3.js and three.js. I will describe these tools (with demos), explain how we use them to monitor and manipulate patterns of brain activity in zebrafish and mice, and discuss the role of collaborative, open source development in neuroscience.

Bio :
Jeremy Freeman is a group leader at the Janelia Research Campus, using computation to understand how neural circuits encode sensory information and guide behavior. Freeman received a BA with high honors in neuroscience from Swarthmore College. He earned a PhD in neural science at the Center for Neural Science at New York University, where he studied the visual system of the primate, under his advisors Eero P. Simoncelli, David J. Heeger, and J.A. Movshon.

http://www.jeremyfreeman.net/

Agenda:

6:15 pm -- door opens/check-in

6:30 - 7:00 pm -- social and networking

7: 00 -- 7:05 pm -- Announcement

7:05 -- 8:15 pm -- speaker talk

8:15 pm - 8:30 pm -- Q&A

8:45 pm -- 9 pm - end and office close