Tony Bell: Difference between revisions
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== Research Interests == | == Research Interests == | ||
My current interests are:- | My current interests for 2006-7 are:- | ||
(1) to unify ideas from probabilistic machine learning | (1) to unify ideas from probabilistic machine learning | ||
with the cross-level information flows that occur in the biological hierarchy. | 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 | The test-case is to explain synaptic, dendritic and axonal learning as an | ||
cross-level density estimation scheme between the neuronal and the synaptic level. | |||
(2) to develop simple algorithms that capture the statistical structure of | (2) to develop simple algorithms that capture the cross-scale statistical structure of | ||
multivariate signals | multivariate signals. | ||
I know this requires some explanation. | I know this requires some explanation. I need to completely revamp my web-presence, and I hope to do so soon. | ||
My old page, at the Salk Institute, is quite out-of-date, but contains some useful material. It is at [http://www.snl.salk.edu/~tony/html here]. | |||
Revision as of 00:41, 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 for 2006-7 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 cross-level density estimation scheme between the neuronal and the synaptic level.
(2) to develop simple algorithms that capture the cross-scale statistical structure of multivariate signals.
I know this requires some explanation. I need to completely revamp my web-presence, and I hope to do so soon. My old page, at the Salk Institute, is quite out-of-date, but contains some useful material. It is at here.
