Tony Bell: Difference between revisions
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Anthony J. Bell Ph.D. <br /> | |||
Redwood Center for Theoretical Neuroscience <br /> | Redwood Center for Theoretical Neuroscience <br /> | ||
UC Berkeley <br /> | UC Berkeley <br /> | ||
132 Barker, MC #3190 <br /> | 132 Barker, MC #3190 <br /> | ||
Berkeley, CA 94720-3190 <br /> | Berkeley, CA 94720-3190 <br /> | ||
phone ( | phone (415) 699 6502 <br /> | ||
fax (510) 643-4952 <br /> | fax (510) 643-4952 <br /> | ||
< | <tbell at berkeley dot edu><br /> | ||
<br style="clear:both;" /> | <br style="clear:both;" /> | ||
== Research Interests == | |||
My current interests are:- | |||
(1) to unify ideas from probabilistic machine learning | |||
with the cross-level information flows that occur in the biological hierarchy. | |||
The test-case is to explain synaptic, dendritic and axonal learning as an | |||
information flow between neurons and synapses | |||
(2) to develop simple algorithms that capture the statistical structure of | |||
multivariate signals | |||
I know this requires some explanation. At some later date, I will embellish | |||
this page and add the publications. | |||
Revision as of 00:36, 5 October 2006
Anthony J. Bell Ph.D.
Redwood Center for Theoretical Neuroscience
UC Berkeley
132 Barker, MC #3190
Berkeley, CA 94720-3190
phone (415) 699 6502
fax (510) 643-4952
<tbell at berkeley dot edu>
Research Interests
My current interests are:-
(1) to unify ideas from probabilistic machine learning with the cross-level information flows that occur in the biological hierarchy. The test-case is to explain synaptic, dendritic and axonal learning as an information flow between neurons and synapses
(2) to develop simple algorithms that capture the statistical structure of multivariate signals
I know this requires some explanation. At some later date, I will embellish this page and add the publications.