Tony Bell - Revision history

Tony: /* Research Interest */

2010-09-14T10:58:06Z

Research Interest

← Older revision		Revision as of 10:50, 14 September 2010
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	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>		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>

	Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008:		Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008: <br>
	[http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning]		[http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning]

	There are new results on time series analysis coming :)		There are new results on time series analysis coming :)

Tony: /* Research Interest */

2010-09-14T10:18:10Z

Research Interest

@@ Line 12: / Line 12: @@
 == Research Interest ==
-(I'm sorry. This revision to my webpage is under construction, so many of the links are not there yet. Give me a few days.)
+(This webpage is under reconstruction. Only a few essential links are posted here.)
 Here's my [http://www.snl.salk.edu/~tony Salk web-page] from way back.
 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>
-Here's an unsatisfactory paper [http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.
+Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008:
-More later. Please send grant money :)
+There are new results on time series analysis coming :)

Tony: /* Research Interest */

2010-09-13T13:24:46Z

Research Interest

← Older revision		Revision as of 13:16, 13 September 2010
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	in their core mathematical structure, are relatively simple.		in their core mathematical structure, are relatively simple.

	Here's an unsatisfactory paper [http://~~redwood~~.~~berkeley~~.~~edu~~/~~tony~~/~~papers~~ Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.		Here's an unsatisfactory paper [http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.

	More later. Please send grant money :)		More later. Please send grant money :)

Tony: /* Research Interest */

2010-09-10T07:19:21Z

Research Interest

← Older revision		Revision as of 07:11, 10 September 2010
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	== Research Interest ==		== Research Interest ==

	(This revision to my webpage is under construction, so many of the links are not there yet. Give me a few days.)		(I'm sorry. This revision to my webpage is under construction, so many of the links are not there yet. Give me a few days.)

	It's 2010.		It's 2010.
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	Here's an unsatisfactory paper [http://redwood.berkeley.edu/tony/papers Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.		Here's an unsatisfactory paper [http://redwood.berkeley.edu/tony/papers Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.

	~~Here's my [http://www.kosmix.com/topic/tony_bell CV]. (Ignore the stuff about the cyclist journalist - that's not me.)~~

	More later. Please send grant money :)		More later. Please send grant money :)

Tony: /* Research Interest */

2010-09-10T02:18:01Z

Research Interest

← Older revision		Revision as of 02:10, 10 September 2010
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	A paper on this [http://www.kosmix.com/topic/tony_bell Learning out of equilibrium] will be ready shortly. Email me if you want it when it's ready.		A paper on this [http://www.kosmix.com/topic/tony_bell Learning out of equilibrium] will be ready shortly. Email me if you want it when it's ready.

	The reinforcement learning literature, while elegant, has nothing relevant to say about these deep problems. ~~Nor,~~ in my view, ~~do stochastic~~ <br>		The reinforcement learning literature, while elegant, has nothing relevant to say about these deep problems. And in my view, <br>
	generative models, ~~which estimate fictional hidden variables and~~ mistakenly assume that probabilistic models must be stochastic. If you ~~<br>~~		stochastic generative models, mistakenly assume that probabilistic models must be stochastic. If you believe that "the world is noisy", <br>
	believe that "the world is noisy", you are confusing your uncertainty with something called "noise in the system", a completely undefined concept.		you are confusing your uncertainty with something called "noise in the system", a completely undefined concept.

	Unfortunately there's no way around it: to really crack this we are going to have to ''get real''. <br>		Unfortunately there's no way around it: to really crack this we are going to have to ''get real''. <br>

Tony: /* Research Interest */

2010-09-10T02:14:04Z

Research Interest

← Older revision		Revision as of 02:06, 10 September 2010
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	== Research Interest ==		== Research Interest ==

			(This revision to my webpage is under construction, so many of the links are not there yet. Give me a few days.)

	It's 2010.		It's 2010.

Tony at 02:13, 10 September 2010

2010-09-10T02:13:00Z

← Older revision		Revision as of 02:05, 10 September 2010
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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@berkeley.edu <br />		tbell@berkeley.edu <br />

Tony: /* Research Interest */

2010-09-09T10:38:48Z

Research Interest

← Older revision		Revision as of 10:30, 9 September 2010
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	There are 3 steps to uniting physics, biology and machine learning:		There are 3 steps to uniting physics, biology and machine learning:

	(1) Solve the time series density estimation problem (this will be ''very'' useful).		(1) Solve the time series density estimation problem properly (this will be ''very'' useful).

	(2) Solve the sensory-motor density estimation problem		(2) Solve the sensory-motor density estimation problem

Tony: /* Research Interest */

2010-09-09T10:36:44Z

Research Interest

← Older revision		Revision as of 10:28, 9 September 2010
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	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>		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>
	Here's me giving a 85 minute talk [http://vimeo.com/5812603 Emergence and Submergence in the Nervous System]. <br>		Here's me giving a 85 minute talk [http://vimeo.com/5812603 Emergence and Submergence in the Nervous System]. <br>
	(The production on the latter is not so good, so here are the [http://redwood.berkeley.edu/tony/papers slides]. <br>		It's similar, but more discursive. (The production on the latter is not so good, so here are the [http://redwood.berkeley.edu/tony/papers slides]. <br>
	Also, if you wait a few minutes in, the audio drastically improves.)		Also, if you wait a few minutes in, the audio drastically improves.)

Tony: /* Research Interest */

2010-09-09T10:33:56Z

Research Interest

← Older revision		Revision as of 10:25, 9 September 2010
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	Here's an unsatisfactory paper [http://redwood.berkeley.edu/tony/papers Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.		Here's an unsatisfactory paper [http://redwood.berkeley.edu/tony/papers Towards a cross-level theory of neural learning] that explains what I was thinking up till about 2008.

	Here's my [http://www.kosmix.com/topic/tony_bell CV]. (Ignore the stuff about the cyclist journalist - that's not me :)		Here's my [http://www.kosmix.com/topic/tony_bell CV]. (Ignore the stuff about the cyclist journalist - that's not me.)

	More later. Please send grant money :)		More later. Please send grant money :)