[pdp-discuss] question about unit-group based connectivity

Randall O'Reilly oreilly at psych.colorado.edu
Sat Apr 1 16:28:53 MST 2006


There is not an identical form of cross-layer kwta, unfortunately..

- Randy

On Apr 1, 2006, at 1:28 PM, Brian Monroe wrote:

>
> Apologies for continuing the conversation on the list, but this  
> seems like something someone else might find useful at some point...
>
> So you could do a work-around by using different layers instead of  
> unit groups (to get the different con specs), but can you get cross- 
> layer kwta inhibition to act identically to within-layer inhibition?
>
>
>
> Brian Monroe
> Graduate Student
> University of Southern California
>
>
> ----- Original Message -----
> From: Randall O'Reilly <oreilly at psych.colorado.edu>
> Date: Friday, March 31, 2006 10:01 pm
> Subject: Re: [pdp-discuss] question about unit-group based  
> connectivity
> To: Brian Monroe <monroe at usc.edu>
> Cc: pdp-discuss at psych-srv3.Colorado.EDU
>
>> Brian,
>>
>> These Prjn specs are for creating different patterns of
>> connectivity
>> between units according to unit groups, not for different patterns
>> of
>> weight values -- that is actually not that easy to do without
>> writing
>> some new C++ code (a new ConSpec) because there is one conspec per
>> projection, and so you'd have to create a different projection for
>> each unit group to achieve this using the standard stuff -- doable,
>>
>> but not very efficient.  Cheers,
>>
>> - Randy
>>
>> On Mar 31, 2006, at 1:50 PM, Brian Monroe wrote:
>>
>>>
>>> I was having a hard time figuring out how to implement a layer
>> with
>>> unit groups with their own random weight initializations/
>>> distributions.  Am I correct in assuming I need to be using a
>>> GpFullPrjnSpec (or possibly a GpOneToManyPrjnSpec)?  If this is
>> the
>>> case, I did not see any of the example projects that use these
>>> specs, nor did I see it discussed in the book, and so it is not
>>> clear how to actually implement them.  If this is not the case,
>>> what is the easiest way to set up these sub-distributions of
>>> weights within a layer?
>>>
>>> Thanks for any info.
>>>
>>> Brian Monroe
>>> Graduate Student
>>> University of Southern California
>>> _______________________________________________
>>> PDP-Discuss mailing list
>>> PDP-Discuss at psych-srv3.Colorado.EDU
>>> http://psych-srv3.Colorado.EDU/mailman/listinfo/pdp-discuss
>>
>>
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