Tony Bell: Difference between revisions

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132 Barker, MC #3190 <br />
132 Barker, MC #3190 <br />
Berkeley, CA 94720-3190 <br />
Berkeley, CA 94720-3190 <br />
phone (415) 699 6502 <br />
phone (415) 568-0346 <br />
fax (510) 643-4952 <br />
fax (510) 643-4952 <br />
<tbell at berkeley dot edu><br />
tbell@berkeley.edu <br />
<br style="clear:both;" />
<br style="clear:both;" />


== Research Interests ==
== Research Interest ==


My current interests for 2006-7 are:-
(This webpage is under reconstruction. Only a few essential links are posted here.)


(1) to unify ideas from probabilistic machine learning
Here's my [http://www.snl.salk.edu/~tony Salk web-page] from way back.
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
Here's me giving a 30 minute talk [http://thesciencenetwork.org/programs/brains-r-us-2/tony-bell Levels, Time and Models] about Levels in Biology. <br>
multivariate signals.


I know this requires some explanation. I need to completely revamp my web-presence, and I hope to do so soon.
Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008: <br>
My old page, at the Salk Institute, is quite out-of-date, but contains some useful material.
[http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning]
It is [http://www.snl.salk.edu/~tony here].
 
There are new results on time series analysis coming :)

Latest revision as of 10:50, 14 September 2010

Tony.jpg

Anthony J. Bell Ph.D.
Redwood Center for Theoretical Neuroscience
UC Berkeley
132 Barker, MC #3190
Berkeley, CA 94720-3190
phone (415) 568-0346
fax (510) 643-4952
tbell@berkeley.edu

Research Interest

(This webpage is under reconstruction. Only a few essential links are posted here.)

Here's my Salk web-page from way back.

Here's me giving a 30 minute talk Levels, Time and Models about Levels in Biology.

Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008:
Towards a cross-level theory of neural learning

There are new results on time series analysis coming :)

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