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	<title>Comments for Neurevolution</title>
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	<link>http://www.neurevolution.net</link>
	<description>Chronicling the cognitive revolution in neuroscience</description>
	<pubDate>Fri, 12 Mar 2010 00:49:54 +0000</pubDate>
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		<title>Comment on Redefining Mirror Neurons by PR</title>
		<link>http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/#comment-47617</link>
		<dc:creator>PR</dc:creator>
		<pubDate>Thu, 13 Aug 2009 05:57:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/#comment-47617</guid>
		<description>A recent article on mirror neurons by P. Pascolo &#38; R. Budai says:

We discussed the method that led to enunciation by some researchers of the existence of mirror neurons, the resulting paradigm “mirror neuron system”, the existence or non existence of mirror neurons in monkeys and subsequent confirmation of the existence of similar neurons in humans. In developing this work we have been taken into account the necessity that arguments, pro and/or against, were synchronous or at least not in obvious contradiction with the observations from other disciplines: psychology, psychiatry, neurology, neurosurgery, neurophysiopathology. The survey conducted during this work has raised many doubts about the “mirror neuron system” paradigm and the consequent announcement of mirror neuron, in the meaning inferred
from the work proposed by Gallese et al. and Rizzolatti et al. in 1996, and by Rizzolatti et al. in 2001 and in 2006, because result of an experimental 
protocol that was deemed inadequate. From the examination of consulted documentation one can only hypothesize that a more or less widespread network of neurons, in a subject supplied with previous experience on what he is observing, activates a function seemingly similar to “mirroring”, trying to interpret an action or what happened around, to program ad action, or to help to perform an action. Activity that manifests also in early way: in this case the virtual/imagined action, it is brought to completion before the observed action is completed. After a discussion on the consistency of the basic assumptions that have combined to define the mirror neuron, we discuss about the opportunity that the “mirror neuron system” will be replaced from time to time with paradigms closer to observation, as an example we refer to as anticipatory borrowing from posturology, the “concept neurons” and so on. The model should not cover a class of neurons, but one of several models to be used in teaching to classify some brain’s functions. This approach should allow to arrange some interpretations based on the “mirror neuron system”: imitation, the phenomenon of comparison between similar and not similar, and some Arbid’s arguments on language too biased in favor of the “mirror neuron system” as noted by Bickerton.

(From: Mirror Neurons in monkey cortical area 5: there was experimental evidence? And in human? Rivista Medica, Year XIV, Number 60 - ISNN 1127-6339)</description>
		<content:encoded><![CDATA[<p>A recent article on mirror neurons by P. Pascolo &amp; R. Budai says:</p>
<p>We discussed the method that led to enunciation by some researchers of the existence of mirror neurons, the resulting paradigm “mirror neuron system”, the existence or non existence of mirror neurons in monkeys and subsequent confirmation of the existence of similar neurons in humans. In developing this work we have been taken into account the necessity that arguments, pro and/or against, were synchronous or at least not in obvious contradiction with the observations from other disciplines: psychology, psychiatry, neurology, neurosurgery, neurophysiopathology. The survey conducted during this work has raised many doubts about the “mirror neuron system” paradigm and the consequent announcement of mirror neuron, in the meaning inferred<br />
from the work proposed by Gallese et al. and Rizzolatti et al. in 1996, and by Rizzolatti et al. in 2001 and in 2006, because result of an experimental<br />
protocol that was deemed inadequate. From the examination of consulted documentation one can only hypothesize that a more or less widespread network of neurons, in a subject supplied with previous experience on what he is observing, activates a function seemingly similar to “mirroring”, trying to interpret an action or what happened around, to program ad action, or to help to perform an action. Activity that manifests also in early way: in this case the virtual/imagined action, it is brought to completion before the observed action is completed. After a discussion on the consistency of the basic assumptions that have combined to define the mirror neuron, we discuss about the opportunity that the “mirror neuron system” will be replaced from time to time with paradigms closer to observation, as an example we refer to as anticipatory borrowing from posturology, the “concept neurons” and so on. The model should not cover a class of neurons, but one of several models to be used in teaching to classify some brain’s functions. This approach should allow to arrange some interpretations based on the “mirror neuron system”: imitation, the phenomenon of comparison between similar and not similar, and some Arbid’s arguments on language too biased in favor of the “mirror neuron system” as noted by Bickerton.</p>
<p>(From: Mirror Neurons in monkey cortical area 5: there was experimental evidence? And in human? Rivista Medica, Year XIV, Number 60 - ISNN 1127-6339)</p>
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		<title>Comment on The Will to be Free, Part II by Ry Rivard</title>
		<link>http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/#comment-47202</link>
		<dc:creator>Ry Rivard</dc:creator>
		<pubDate>Thu, 30 Jul 2009 06:29:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/#comment-47202</guid>
		<description>A problem with using self-awareness to salvage free will is that some evidence suggests that we, in fact, become self-aware of some decisions only after they are made.

http://www.mpg.de/english/illustrationsDocumentation/documentation/pressReleases/2008/pressRelease20080414/

A possible problem with such a study, though, could be instrumental sensitivity.</description>
		<content:encoded><![CDATA[<p>A problem with using self-awareness to salvage free will is that some evidence suggests that we, in fact, become self-aware of some decisions only after they are made.</p>
<p><a href="http://www.mpg.de/english/illustrationsDocumentation/documentation/pressReleases/2008/pressRelease20080414/" rel="nofollow">http://www.mpg.de/english/illustrationsDocumentation/documentation/pressReleases/2008/pressRelease20080414/</a></p>
<p>A possible problem with such a study, though, could be instrumental sensitivity.</p>
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		<title>Comment on History’s Top Brain Computation Insights: Day 6 by Becky</title>
		<link>http://www.neurevolution.net/2007/04/07/history%e2%80%99s-top-brain-computation-insights-day-6/#comment-46121</link>
		<dc:creator>Becky</dc:creator>
		<pubDate>Thu, 02 Jul 2009 16:19:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/07/history%e2%80%99s-top-brain-computation-insights-day-6/#comment-46121</guid>
		<description>Thank you for the information. It's interesting. Do you have more about Sherrington's work?</description>
		<content:encoded><![CDATA[<p>Thank you for the information. It&#8217;s interesting. Do you have more about Sherrington&#8217;s work?</p>
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		<title>Comment on History’s Top Brain Computation Insights: Day 6 by Edward Ruthazer</title>
		<link>http://www.neurevolution.net/2007/04/07/history%e2%80%99s-top-brain-computation-insights-day-6/#comment-28208</link>
		<dc:creator>Edward Ruthazer</dc:creator>
		<pubDate>Sun, 04 Jan 2009 21:01:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/07/history%e2%80%99s-top-brain-computation-insights-day-6/#comment-28208</guid>
		<description>Excellent site and a superb effort.

I believe that although Sherrington did coin the term 'synapse",  the term "neuron" was coined  by Heinrich Wilhelm Gottfried von Waldeyer-Hartz in 1891.</description>
		<content:encoded><![CDATA[<p>Excellent site and a superb effort.</p>
<p>I believe that although Sherrington did coin the term &#8217;synapse&#8221;,  the term &#8220;neuron&#8221; was coined  by Heinrich Wilhelm Gottfried von Waldeyer-Hartz in 1891.</p>
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		<title>Comment on The role of reward and cognitive control in decision making by BD</title>
		<link>http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/#comment-23453</link>
		<dc:creator>BD</dc:creator>
		<pubDate>Wed, 19 Nov 2008 20:29:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/#comment-23453</guid>
		<description>I think it may be that Balleine is just not good at writing.  If you're in the mood for an excruciating article to read, try killing some language processing cells with the article this quote came from...

"For example, whereas lesions of the BLA do not affect acquisition of conditioned approach towards food during a tone or light CS, they do abolish the sensitivity of approach responses elicited by that CS to post-training devaluation of its associated US."  --from "Parallel Incentive Processing", Balleine &#38; Killcross, 2006 Trends in Neuro</description>
		<content:encoded><![CDATA[<p>I think it may be that Balleine is just not good at writing.  If you&#8217;re in the mood for an excruciating article to read, try killing some language processing cells with the article this quote came from&#8230;</p>
<p>&#8220;For example, whereas lesions of the BLA do not affect acquisition of conditioned approach towards food during a tone or light CS, they do abolish the sensitivity of approach responses elicited by that CS to post-training devaluation of its associated US.&#8221;  &#8211;from &#8220;Parallel Incentive Processing&#8221;, Balleine &amp; Killcross, 2006 Trends in Neuro</p>
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		<title>Comment on How Hangovers Work by HL</title>
		<link>http://www.neurevolution.net/2007/03/20/how-hangovers-work/#comment-23091</link>
		<dc:creator>HL</dc:creator>
		<pubDate>Wed, 12 Nov 2008 19:36:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/20/how-hangovers-work/#comment-23091</guid>
		<description>CAN THE EFFECT OF DEHYDRATION BE REVERSED?</description>
		<content:encoded><![CDATA[<p>CAN THE EFFECT OF DEHYDRATION BE REVERSED?</p>
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		<title>Comment on Joaquin Fuster on Cortical Dynamics by Kurt L Hanson</title>
		<link>http://www.neurevolution.net/2008/04/05/joaquin-fuster-on-cortical-dynamics/#comment-22433</link>
		<dc:creator>Kurt L Hanson</dc:creator>
		<pubDate>Tue, 04 Nov 2008 21:28:14 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/?p=168#comment-22433</guid>
		<description>I mean to say, Mr. Furster should know enough to at least write softward code which simply performs the acts he outlines. A practical application which functions his ideas is what is needed. I'm reading too many theories.</description>
		<content:encoded><![CDATA[<p>I mean to say, Mr. Furster should know enough to at least write softward code which simply performs the acts he outlines. A practical application which functions his ideas is what is needed. I&#8217;m reading too many theories.</p>
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		<title>Comment on Joaquin Fuster on Cortical Dynamics by Kurt L Hanson</title>
		<link>http://www.neurevolution.net/2008/04/05/joaquin-fuster-on-cortical-dynamics/#comment-22431</link>
		<dc:creator>Kurt L Hanson</dc:creator>
		<pubDate>Tue, 04 Nov 2008 21:06:06 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/?p=168#comment-22431</guid>
		<description>So I want to create a computer system mimicking biological cognition. Mr. Fuster needs to write a paper that outlines, step by step, the system of events from ...</description>
		<content:encoded><![CDATA[<p>So I want to create a computer system mimicking biological cognition. Mr. Fuster needs to write a paper that outlines, step by step, the system of events from &#8230;</p>
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		<title>Comment on Measuring Innate Functional Brain Connectivity by osama imran</title>
		<link>http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/#comment-19464</link>
		<dc:creator>osama imran</dc:creator>
		<pubDate>Sat, 06 Sep 2008 07:36:56 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/#comment-19464</guid>
		<description>you should have given the description of functional and anatomical parts of brain with their respective diagrams</description>
		<content:encoded><![CDATA[<p>you should have given the description of functional and anatomical parts of brain with their respective diagrams</p>
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		<title>Comment on Keeping Up: Tips for Managing Science Reading by R Stoner</title>
		<link>http://www.neurevolution.net/2008/08/04/keeping-up-tips-for-managing-science-reading/#comment-17439</link>
		<dc:creator>R Stoner</dc:creator>
		<pubDate>Tue, 05 Aug 2008 18:35:43 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/?p=166#comment-17439</guid>
		<description>To follow up on the RSS feeds: http://barf.jcowboy.org/ - 'Bioinformatics aggregated RSS feeds' provides a decent list of Journal abstract RSS feeds. It hasn't been updated in awhile but the current links are still quite useful.</description>
		<content:encoded><![CDATA[<p>To follow up on the RSS feeds: <a href="http://barf.jcowboy.org/" rel="nofollow">http://barf.jcowboy.org/</a> - &#8216;Bioinformatics aggregated RSS feeds&#8217; provides a decent list of Journal abstract RSS feeds. It hasn&#8217;t been updated in awhile but the current links are still quite useful.</p>
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		<title>Comment on History&#8217;s Top Insights Into Brain Computation by PL2</title>
		<link>http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/#comment-16742</link>
		<dc:creator>PL2</dc:creator>
		<pubDate>Fri, 25 Jul 2008 14:58:15 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/#comment-16742</guid>
		<description>According to the SMOG readability calculator, your "Implication" is written on the 30.93th grade level.

17 - 18 post-graduate studies Harvard Business Review 
19+ post-graduate degree IRS Code 


   Basic Data 
Sentences 2 
Total Words 142 
Letters 911 
Digits 0 
Characters 1082 

  
   Derived Data 
Words/Sentence 71.0 
Syllables/Word 2.27 
Syllables/Sentence 161.5 
Letters/Syllable 2.82 
Letters/Word 6.42 
Letters/Sentence 455.5 

I guess there is no easy way to explain away 100 billion neurons and a quadrillion synapses. Still, it is nice to see it all in one place as you've done. Bravissimo.</description>
		<content:encoded><![CDATA[<p>According to the SMOG readability calculator, your &#8220;Implication&#8221; is written on the 30.93th grade level.</p>
<p>17 - 18 post-graduate studies Harvard Business Review<br />
19+ post-graduate degree IRS Code </p>
<p>   Basic Data<br />
Sentences 2<br />
Total Words 142<br />
Letters 911<br />
Digits 0<br />
Characters 1082 </p>
<p>   Derived Data<br />
Words/Sentence 71.0<br />
Syllables/Word 2.27<br />
Syllables/Sentence 161.5<br />
Letters/Syllable 2.82<br />
Letters/Word 6.42<br />
Letters/Sentence 455.5 </p>
<p>I guess there is no easy way to explain away 100 billion neurons and a quadrillion synapses. Still, it is nice to see it all in one place as you&#8217;ve done. Bravissimo.</p>
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		<title>Comment on History&#8217;s Top Brain Computation Insights: Day 3 by PL2</title>
		<link>http://www.neurevolution.net/2007/04/04/historys-top-brain-computation-insights-day-3/#comment-16741</link>
		<dc:creator>PL2</dc:creator>
		<pubDate>Fri, 25 Jul 2008 14:40:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/04/historys-top-brain-computation-insights-day-3/#comment-16741</guid>
		<description>PL, I'm wondering what you think of an article I wrote last year about the 10% myth. It touches on your points, exactly.

http://www.stroke.org/site/PageServer?pagename=SS_MAG_ma2007_brain

Love Neurevolution, by the way. Thanks!</description>
		<content:encoded><![CDATA[<p>PL, I&#8217;m wondering what you think of an article I wrote last year about the 10% myth. It touches on your points, exactly.</p>
<p><a href="http://www.stroke.org/site/PageServer?pagename=SS_MAG_ma2007_brain" rel="nofollow">http://www.stroke.org/site/PageServer?pagename=SS_MAG_ma2007_brain</a></p>
<p>Love Neurevolution, by the way. Thanks!</p>
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		<title>Comment on A Popular but Problematic Learning Rule: &#8220;Backpropogration of Error&#8221; by Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</title>
		<link>http://www.neurevolution.net/2007/04/05/a-popular-but-problematic-learning-rule-backpropogration-of-error/#comment-13788</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</dc:creator>
		<pubDate>Mon, 02 Jun 2008 15:38:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/05/a-popular-but-problematic-learning-rule-backpropogration-of-error/#comment-13788</guid>
		<description>[...] In earlier posts, we outlined two computational models of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and here). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] In earlier posts, we outlined two computational models of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and here). [&#8230;]</p>
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		<title>Comment on History’s Top Brain Computation Insights: Day 21 by Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</title>
		<link>http://www.neurevolution.net/2007/04/22/history%e2%80%99s-top-brain-computation-insights-day-21/#comment-13787</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</dc:creator>
		<pubDate>Mon, 02 Jun 2008 15:37:13 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/22/history%e2%80%99s-top-brain-computation-insights-day-21/#comment-13787</guid>
		<description>[...] various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [&#8230;]</p>
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		<title>Comment on Neural Network &#8220;Learning Rules&#8221; by Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-13786</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; A Brief Introduction to Reinforcement Learning</dc:creator>
		<pubDate>Mon, 02 Jun 2008 15:36:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-13786</guid>
		<description>[...] of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [&#8230;]</p>
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		<title>Comment on History’s Top Brain Computation Insights: Day 20 by Neurevolution &#187; Blog Archive &#187; Reinforcement Learning</title>
		<link>http://www.neurevolution.net/2007/04/21/history%e2%80%99s-top-brain-computation-insights-day-20/#comment-13785</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; Reinforcement Learning</dc:creator>
		<pubDate>Mon, 02 Jun 2008 15:27:01 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/21/history%e2%80%99s-top-brain-computation-insights-day-20/#comment-13785</guid>
		<description>[...] models of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] models of learning hypothesized to occur in various parts of the brain, i.e., Hebbian-like LTP (here and here) and error-correction learning (here and [&#8230;]</p>
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		<title>Comment on Neural Network &#8220;Learning Rules&#8221; by Neurevolution &#187; Blog Archive &#187; Levels of Analysis and Emergence: The Neural Basis of Memory</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-13643</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; Levels of Analysis and Emergence: The Neural Basis of Memory</dc:creator>
		<pubDate>Fri, 30 May 2008 15:45:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-13643</guid>
		<description>[...] Raymond and Redman replicate the earlier finding that longer bouts of electrical stimulation can cause LTP to be more powerful (resulting in larger postsynaptic responses), and last longer.  They demonstrated three different levels of LTP in their experiment by using three different length trains of electrical stimulation.  This stimulation-dependent property of LTP has been taken as the basis for synaptic modification rules used in neural network models (http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Raymond and Redman replicate the earlier finding that longer bouts of electrical stimulation can cause LTP to be more powerful (resulting in larger postsynaptic responses), and last longer.  They demonstrated three different levels of LTP in their experiment by using three different length trains of electrical stimulation.  This stimulation-dependent property of LTP has been taken as the basis for synaptic modification rules used in neural network models (http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/). [&#8230;]</p>
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		<title>Comment on History’s Top Brain Computation Insights: Day 20 by Neurevolution &#187; Blog Archive &#187; Levels of Analysis and Emergence: The Neural Basis of Memory</title>
		<link>http://www.neurevolution.net/2007/04/21/history%e2%80%99s-top-brain-computation-insights-day-20/#comment-13642</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; Levels of Analysis and Emergence: The Neural Basis of Memory</dc:creator>
		<pubDate>Fri, 30 May 2008 14:19:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/21/history%e2%80%99s-top-brain-computation-insights-day-20/#comment-13642</guid>
		<description>[...] A recent article by Raymond and Redman (Journal of Neurophysiology, 2002) takes a close look at three separate subcellular mechanisms that appear to support LTP (reminder: LTP is long-term potentiation, which is one of the best candidates to-date for the neural basis of memory; http://www.neurevolution.net/2007/04/21/history%E2%80%99s-top-brain-computation-insights-day-20/). [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] A recent article by Raymond and Redman (Journal of Neurophysiology, 2002) takes a close look at three separate subcellular mechanisms that appear to support LTP (reminder: LTP is long-term potentiation, which is one of the best candidates to-date for the neural basis of memory; <a href="http://www.neurevolution.net/2007/04/21/history%E2%80%99s-top-brain-computation-insights-day-20/" rel="nofollow">http://www.neurevolution.net/2007/04/21/history%E2%80%99s-top-brain-computation-insights-day-20/</a>). [&#8230;]</p>
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		<title>Comment on Wandering Minds and the Default Brain Network by Neurevolution &#187; Blog Archive &#187; CNS Meeting 2008: Development of Cognitive Control</title>
		<link>http://www.neurevolution.net/2007/01/19/wandering-minds-and-the-default-brain-network/#comment-11270</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; CNS Meeting 2008: Development of Cognitive Control</dc:creator>
		<pubDate>Sun, 20 Apr 2008 03:33:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/01/19/wandering-minds-and-the-default-brain-network/#comment-11270</guid>
		<description>[...] on a functional MRI study of 239 individuals ranging from 9 to 97 years of age. She found that the &#8220;default-network&#8221; brain activity (likely related to mind wandering) was better suppressed during difficult tasks early in life and [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] on a functional MRI study of 239 individuals ranging from 9 to 97 years of age. She found that the &#8220;default-network&#8221; brain activity (likely related to mind wandering) was better suppressed during difficult tasks early in life and [&#8230;]</p>
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		<title>Comment on Measuring Innate Functional Brain Connectivity by Neurevolution &#187; Blog Archive &#187; CNS Meeting 2008: Development of Cognitive Control</title>
		<link>http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/#comment-11269</link>
		<dc:creator>Neurevolution &#187; Blog Archive &#187; CNS Meeting 2008: Development of Cognitive Control</dc:creator>
		<pubDate>Sun, 20 Apr 2008 03:30:57 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/#comment-11269</guid>
		<description>[...] talk, by Bradley Schlaggar of Washington University at St. Louis, described tracking changes in resting state connectivity with development. As presented by Steven Petersen at HBM 2007, Dr. Schlaggar showed how dorsal [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] talk, by Bradley Schlaggar of Washington University at St. Louis, described tracking changes in resting state connectivity with development. As presented by Steven Petersen at HBM 2007, Dr. Schlaggar showed how dorsal [&#8230;]</p>
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