Showing posts with label Berkeley. Show all posts
Showing posts with label Berkeley. Show all posts

Thursday, April 11, 2013

Dr. Walter Freeman III's chaos and creativity

Dr. Walter J. Freeman
"One profound advantage chaos may confer on the brain is that chaotic systems continually produce novel activity patterns. We propose that such patterns are crucial to the development of nerve cell assemblies that differ from established assemblies. More generally, the ability to create activity patterns may underlie the brain's ability to generate insight and the 'trials' of trial-and-error problem solving."

- Walter J. Freeman

On a sunny Tuesday morning when most of the University of California, Berkeley student body was away from campus for Spring Break, Selene and I had the pleasure of visiting Dr. Walter Freeman in his Donner Lab office. He provided us with a simple introduction to neurodynamics -- brain waves are a "special kind of noise," he explained -- before expounding on the theoretical outgrowth of his neuroscience research. Many of Walter's conclusions about the workings of the brain have an unexpected antecedent, the philosophy of the 13th century theologian, St. Thomas of Aquinas (Walter prefers the Italian formulation, Tommaso, so I will use it here).

Tuesday, October 02, 2012

Picturing Awe

Frame from "Wind Map"
Martin Wattenberg and Fernanda Viegas

Last night, I attended the second presentation in this season's Art, Technology, and Culture Colloquium series at UC Berkeley. Martin Wattenberg and Fernanda Viegas, artists and researchers who often work as a team, presented "Visualization and the Joy of Revelation," an engaging survey of their greatest hits (to date) supplemented by tidbits about their process and working philosophy.

From the ATC listing:
"Fernanda Viegas and Martin Wattenberg explore the joy of revelation: the special electricity of seeing a city from the air, of hearing a secret, of watching a lover undress. Their medium is data visualization, a technology developed by computer scientists to extract insights from raw numbers. They'll show what happens when this technology is aimed at data sets that range from tropical storms to social networks, from arguments on Wikipedia to expressions of carnal desire."