DARA GHAHREMANI
RESEARCH
I am working on a project with Scott Makeig, Tzyy-Ping
Jung, Tony Bell, and Terry Sejnowski on applying a
blind source separation neural network technique (involving information-maximization)
to task-related human electroencephalographic (EEG) data and evoked-response potentials (ERPs) in an effort to identify the independent components of brain activity
which produce this data. Before this Independent Component Analysis (ICA) algorithm
could be used on brain data, we first ran simulations using sounds as the independent
components (or "sources"), linearly mixed through a model of the head. The results
of these simulations are discussed in the technical report, Independent component analysis of simulated EEG using a three-shell spherical head model. We performed further simulations with the head
model on time-locked averaged electro-corticogram (ECoG) data, multielectrode recordings from
the cortex of epileptic patients which is discussed in Independent component analysis of simulated ERP data.
Other researchers at CNL working on ICA of multi-electrode data include Colin Humphries, Te-Won Lee. See Te-Won's Blind Source Separation Page for a plethora of information on the subject.
EDUCATION
I completed my undergraduate degree at the University
of California, San Diego in Cognitive
Science.
My interest in Cognitive Science is driven by a general belief in the
potential for a broader understanding of human mental activity through
interdisciplinary investigation.
IRAN
Dara Ghahremani
Computational Neurobiology Lab
The Salk Institute for Biological Studies
10010 N. Torrey Pines Road
La Jolla, CA 92037
Tel (619) 453-4100, ext. 1455
Fax (619) 587-0417
E-mail: dara at salk dot edu