Referencing your own work is obviously not what I was asking for.
Still, something more substantial than "neuron is not a concept", as
an example of "cognitive theory"?


On Fri, Nov 21, 2008 at 4:35 AM, Richard Loosemore <[EMAIL PROTECTED]> wrote:
> Vladimir Nesov wrote:
>>
>> Could you give some references to be specific in what you mean?
>> Examples of what you consider outdated cognitive theory and better
>> cognitive theory.
>>
>
> Well, you could start with the question of what the neurons are supposed to
> represent, if the spikes are coding (e.g.) bayesian contingencies. Are the
> neurons the same as concepts/symbols?  Are groups of neurons redundantly
> coding for concepts/symbols?
>
> One or other of these possibilties is usually assumed by default, but this
> leads to glaring inconsistencies in the interpretation of neuroscience data,
> as well as begging all of the old questions about how "grandmother cells"
> are supposed to do their job.  As I said above, cognitive scientists already
> came to the conclusion, 30 or 40 years ago, that it made no sense to stick
> to a simple identification of one neuron per concept.  And yet many
> neuroscientists are *implictly* resurrecting this broken idea, without
> addressing the faults that were previously found in it.  (In case you are
> not familiar with the faults, they include the vulnerability of neurons, the
> lack of connectivity between arbitrary neurons, the problem of assigning
> neurons to concepts, the encoding of variables, relationships and negative
> facts ...... ).
>
> For example, in Loosemore & Harley (in press) you can find an analysis of a
> paper by Quiroga, Reddy, Kreiman, Koch, and Fried (2005) in which the latter
> try to claim they have evidence in favor of grandmother neurons (or sparse
> collections of grandmother neurons) and against the idea of distributed
> representations.
>
> We showed their conclusion to be incoherent.  It was deeply implausible,
> given the empirical data they reported.
>
> Furthermore, we used my molecular framework (the same one that was outlined
> in the consciousness paper) to see how that would explain the same data.  It
> turns out that this much more sophisticated model was very consistent with
> the data (indeed, it is the only one I know of that can explain the results
> they got).
>
> You can find our paper at www.susaro.com/publications.
>
>
>
> Richard Loosemore
>
>
> Loosemore, R.P.W. & Harley, T.A. (in press). Brains and Minds:  On the
> Usefulness of Localisation Data to Cognitive Psychology. In M. Bunzl & S.J.
> Hanson (Eds.), Foundations of Functional Neuroimaging. Cambridge, MA: MIT
> Press.
>
> Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C. & Fried, I. (2005).
> Invariant visual representation by single-neurons in the human brain.
> Nature, 435, 1102-1107.
>



-- 
Vladimir Nesov
[EMAIL PROTECTED]
http://causalityrelay.wordpress.com/


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