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<channel>
	<title>Neurevolution</title>
	<atom:link href="http://www.neurevolution.net/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.neurevolution.net</link>
	<description>Chronicling the cognitive revolution in neuroscience</description>
	<pubDate>Sun, 20 Apr 2008 03:33:26 +0000</pubDate>
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	<language>en</language>
			<item>
		<title>CNS Meeting 2008: Development of Cognitive Control</title>
		<link>http://www.neurevolution.net/2008/04/19/cns-meeting-2008-development-of-cognitive-control/</link>
		<comments>http://www.neurevolution.net/2008/04/19/cns-meeting-2008-development-of-cognitive-control/#comments</comments>
		<pubDate>Sun, 20 Apr 2008 03:23:39 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Cognitive Control]]></category>

		<category><![CDATA[Conferences]]></category>

		<category><![CDATA[Development]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/?p=172</guid>
		<description><![CDATA[I just got back from CNS a few days ago. I thought I&#8217;d write a quick summary of one of the more interesting symposia at the conference.
Taking place Monday (4/14) afternoon, The rise and fall of cognitive control: Lifespan development covered how executive brain functions develop and peak in the 20s and 30s, falling again [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2008/04/19/cns-meeting-2008-development-of-cognitive-control/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Joaquin Fuster on Cortical Dynamics</title>
		<link>http://www.neurevolution.net/2008/04/05/joaquin-fuster-on-cortical-dynamics/</link>
		<comments>http://www.neurevolution.net/2008/04/05/joaquin-fuster-on-cortical-dynamics/#comments</comments>
		<pubDate>Sun, 06 Apr 2008 03:50:12 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Animal Research]]></category>

		<category><![CDATA[Attention]]></category>

		<category><![CDATA[Cognitive Control]]></category>

		<category><![CDATA[Evolution]]></category>

		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<category><![CDATA[Video]]></category>

		<category><![CDATA[Working Memory]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/?p=168</guid>
		<description><![CDATA[I recently watched this talk (below) by Joaquin Fuster. His theories provide a good integration of cortical functions and distributed processing in working and long-term memory. He also has some cool videos of likely network interactions across cortex (in real time) in his talk.

Here is a diagram of Dr. Fuster&#8217;s view of cortical hierarchies:


Joaquin Fuster&#8217;s [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2008/04/05/joaquin-fuster-on-cortical-dynamics/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Combining Simple Recurrent Networks and Eye-Movements to study Language Processing</title>
		<link>http://www.neurevolution.net/2008/04/05/simple-recurrent-network-and-eye-movements-used-to-study-real-time-language-processing/</link>
		<comments>http://www.neurevolution.net/2008/04/05/simple-recurrent-network-and-eye-movements-used-to-study-real-time-language-processing/#comments</comments>
		<pubDate>Sat, 05 Apr 2008 16:07:33 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[Computational Modeling]]></category>

		<category><![CDATA[Conferences]]></category>

		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Language]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/?p=167</guid>
		<description><![CDATA[
Modern technologies allow eye movements to be used as a tool for studying language processing during tasks such as natural reading. Saccadic eye movements during reading turn out to be highly sensitive to a number of linguistic variables. A number of computational models of eye movement control have been developed to explain how these variables [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2008/04/05/simple-recurrent-network-and-eye-movements-used-to-study-real-time-language-processing/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Measuring Innate Functional Brain Connectivity</title>
		<link>http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/</link>
		<comments>http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/#comments</comments>
		<pubDate>Sun, 30 Mar 2008 02:36:57 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Animal Research]]></category>

		<category><![CDATA[Evolution]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/</guid>
		<description><![CDATA[Functional magnetic resonance imaging (fMRI), a method for safely measuring brain activity, has been around for about 15 years. Within the last 10 of those years a revolutionary, if mysterious, method has been developing using the technology. This method, resting state functional connectivity (rs-fcMRI), has recently gained popularity for its putative ability to measure how [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2008/03/29/measuring-innate-functional-brain-connectivity/feed/</wfw:commentRss>
		</item>
		<item>
		<title>The Will to be Free, Part II</title>
		<link>http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/</link>
		<comments>http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/#comments</comments>
		<pubDate>Tue, 06 Nov 2007 20:29:44 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Cognitive Control]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<category><![CDATA[Working Memory]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/</guid>
		<description><![CDATA[ Several months ago I posted The Will to be Free, Part I. In that post I explained that memory is the key to free will.  However, this insight isn&#39;t quite satisfactory.  We need three additional things to complete the picture: the ability to choose based on predictions, internal desires, and self-awareness.  [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/11/06/the-will-to-be-free-part-ii/feed/</wfw:commentRss>
		</item>
		<item>
		<title>The Cognitive Control Network</title>
		<link>http://www.neurevolution.net/2007/10/07/the-cognitive-control-network/</link>
		<comments>http://www.neurevolution.net/2007/10/07/the-cognitive-control-network/#comments</comments>
		<pubDate>Mon, 08 Oct 2007 03:55:51 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Attention]]></category>

		<category><![CDATA[Cognitive Control]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<category><![CDATA[Our Publications]]></category>

		<category><![CDATA[Working Memory]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/10/07/the-cognitive-control-network/</guid>
		<description><![CDATA[I recently published my first primary-author research study (Cole &#38; Schneider, 2007).
The study used functional MRI to discover a network of brain regions responsible for conscious will (i.e., cognitive control). It also revealed the network&#39;s specialized parts, which each uniquely contribute to creating the emergent property of conscious will.
I believe this research contributes substantially to [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/10/07/the-cognitive-control-network/feed/</wfw:commentRss>
		</item>
		<item>
		<title>The role of reward and cognitive control in decision making</title>
		<link>http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/</link>
		<comments>http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/#comments</comments>
		<pubDate>Mon, 24 Sep 2007 17:27:31 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Cognitive Control]]></category>

		<category><![CDATA[Reward]]></category>

		<category><![CDATA[Scientific Article Review]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/</guid>
		<description><![CDATA[Here&#39;s an exchange of emails between PL and MC on a recently published paper (Balleine et al., 2007).
Email 1 (from PL):
Have a look at this introductory paragraph from a recent (Aug 2007) J Neurosci article by Balleine, Delgado and Hikosaka. What do they mean by &#34;cognition&#34; here?

The Role of the Dorsal Striatum in Reward and [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/09/24/the-role-of-reward-and-cognitive-control-in-decision-making/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Magnetoencephalography</title>
		<link>http://www.neurevolution.net/2007/08/20/magnetoencephalography/</link>
		<comments>http://www.neurevolution.net/2007/08/20/magnetoencephalography/#comments</comments>
		<pubDate>Mon, 20 Aug 2007 13:43:39 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Methods]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/08/20/magnetoencephalography/</guid>
		<description><![CDATA[ In the dark confines behind our eyes lies flesh full of mysterious patterns, constituting our hopes, desires, knowledge, and everything else fundamental to who we are. Since at least the time of Hippocrates  we have wondered about the nature of this flesh and its functions. Finally, after thousands of years of wondering we [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/08/20/magnetoencephalography/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Redefining Mirror Neurons</title>
		<link>http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/</link>
		<comments>http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/#comments</comments>
		<pubDate>Wed, 18 Jul 2007 03:49:06 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Animal Research]]></category>

		<category><![CDATA[Language]]></category>

		<category><![CDATA[Methods]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/</guid>
		<description><![CDATA[In 1992 Rizzolatti and his colleagues found a special kind of neuron in the premotor cortex of monkeys (Di Pellegrino et al., 1992).
These neurons, which respond to perceiving an action whether it&#39;s performed by the observed monkey or a different monkey (or person) it&#39;s watching, are called mirror neurons.
Many neuroscientists, such as V. S. Ramachandran, [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/07/17/redefining-mirror-neurons/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Grand Challenges of Neuroscience: Day 5</title>
		<link>http://www.neurevolution.net/2007/07/13/grand-challenges-of-neuroscience-day-5/</link>
		<comments>http://www.neurevolution.net/2007/07/13/grand-challenges-of-neuroscience-day-5/#comments</comments>
		<pubDate>Fri, 13 Jul 2007 15:51:04 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[Language]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/07/13/grand-challenges-of-neuroscience-day-5/</guid>
		<description><![CDATA[Topic: Language
Everyday (spoken) language use involves the production and perception of sounds at a very fast rate. One of my favorite quotes on this subject is in &#34;The Language Instict&#34; by Steven Pinker, on page 157.&#160;

&#34;Even with heroic training [on a task], people could not recognize the sounds at a rate faster than good Morse [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/07/13/grand-challenges-of-neuroscience-day-5/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Grand Challenges of Neuroscience: Day 4</title>
		<link>http://www.neurevolution.net/2007/07/07/grand-challenges-of-neuroscience-day-4/</link>
		<comments>http://www.neurevolution.net/2007/07/07/grand-challenges-of-neuroscience-day-4/#comments</comments>
		<pubDate>Sat, 07 Jul 2007 17:58:28 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[Attention]]></category>

		<category><![CDATA[Consciousness]]></category>

		<category><![CDATA[Neurophysiology]]></category>

		<category><![CDATA[Perception]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/07/07/grand-challenges-of-neuroscience-day-4/</guid>
		<description><![CDATA[After a bit of a hiatus, I&#39;m back with the last three installments of &#34;Grand Challenges in Neuroscience&#34;. 
Topic 4: Time
Cognitive Science programs typically require students to take courses in Linguistics (as well as in the philiosphy of language).&#160; Besides the obvious application of studying how the mind creates and uses language, an important reason [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/07/07/grand-challenges-of-neuroscience-day-4/feed/</wfw:commentRss>
		</item>
		<item>
		<title>History&#8217;s Top Brain Computation Insights: Hippocampus binds features</title>
		<link>http://www.neurevolution.net/2007/06/18/historys-top-brain-computation-insights-hippocampus-binds-features/</link>
		<comments>http://www.neurevolution.net/2007/06/18/historys-top-brain-computation-insights-hippocampus-binds-features/#comments</comments>
		<pubDate>Mon, 18 Jun 2007 13:56:21 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[History]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<category><![CDATA[Working Memory]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/06/18/historys-top-brain-computation-insights-hippocampus-binds-features/</guid>
		<description><![CDATA[Hippocampus is involved in feature binding for novel stimuli (McClelland, McNaughton, &#38; O&#39;Reilly - 1995, Knight - 1996, Hasselmo - 2001, Ranganath &#38; D&#39;Esposito - 2001)
It was demonstrated by McClelland et al. that, based on its role in episodic memory encoding, hippocampus can learn fast arbitrary association.
This was in contrast to neocortex, which they showed [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/06/18/historys-top-brain-computation-insights-hippocampus-binds-features/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Two Universes, Same Structure</title>
		<link>http://www.neurevolution.net/2007/06/05/two-universes-same-structure/</link>
		<comments>http://www.neurevolution.net/2007/06/05/two-universes-same-structure/#comments</comments>
		<pubDate>Tue, 05 Jun 2007 22:16:25 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Theoretical]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/06/05/two-universes-same-structure/</guid>
		<description><![CDATA[This image is not of a neuron.
This image is of the other universe; the one outside our heads.
It depicts the &#34;evolution of the matter distribution in a cubic region of the Universe over 2 billion light-years&#34;, as computed by the Millennium Simulation. (Click the image above for a better view.)

The next image, of a neuron, [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/06/05/two-universes-same-structure/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Grand Challenges of Neuroscience: Day 3</title>
		<link>http://www.neurevolution.net/2007/05/13/grand-challenges-of-neuroscience-day-3/</link>
		<comments>http://www.neurevolution.net/2007/05/13/grand-challenges-of-neuroscience-day-3/#comments</comments>
		<pubDate>Sun, 13 May 2007 16:05:38 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[Animal Research]]></category>

		<category><![CDATA[Computational Modeling]]></category>

		<category><![CDATA[Consciousness]]></category>

		<category><![CDATA[Neurophysiology]]></category>

		<category><![CDATA[Perception]]></category>

		<category><![CDATA[Theoretical]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/05/13/grand-challenges-of-neuroscience-day-3/</guid>
		<description><![CDATA[Topic 3: Spatial Knowledge
Animal studies have shown that the hippocampus contains special cells called &#34;place cells&#34;.&#160; These place cells are interesting because their activity seems to indicate not what the animal sees, but rather where the animal is in space as it runs around in a box or in a maze. (See the four cells [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/05/13/grand-challenges-of-neuroscience-day-3/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Grand Challenges of Neuroscience: Day 2</title>
		<link>http://www.neurevolution.net/2007/05/02/grand-challenges-of-neuroscience-day-2/</link>
		<comments>http://www.neurevolution.net/2007/05/02/grand-challenges-of-neuroscience-day-2/#comments</comments>
		<pubDate>Wed, 02 May 2007 12:32:48 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[Computational Modeling]]></category>

		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<category><![CDATA[Psychology]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/05/02/grand-challenges-of-neuroscience-day-2/</guid>
		<description><![CDATA[Topic 2: Conflict and Cooperation
Generally, cognitive neuroscience aims to explain how mental processes such as believing, knowing, and inferring arise in the brain and affect behavior.&#160; Two behaviors that have important effects on the survival of humans are cooperation and conflict.&#160;
According to the NSF committee convened last year, conflict and cooperation is an important focus [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/05/02/grand-challenges-of-neuroscience-day-2/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Grand Challenges of Neuroscience: Day 1</title>
		<link>http://www.neurevolution.net/2007/04/30/136/</link>
		<comments>http://www.neurevolution.net/2007/04/30/136/#comments</comments>
		<pubDate>Tue, 01 May 2007 00:31:59 +0000</pubDate>
		<dc:creator>P.L.</dc:creator>
		
		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<category><![CDATA[Neurophysiology]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/30/136/</guid>
		<description><![CDATA[Following up on MC&#39;s posts about the significant insights in the history of neuroscience, I&#39;ll now take Neurevolution for a short jaunt into neuroscience&#39;s potential future.
In light of recent advances in technologies and methodologies applicable to neuroscience research, the National Science Foundation last summer released a document on the &#34;Grand Challenges of Neuroscience&#34;.&#160; These grand [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/04/30/136/feed/</wfw:commentRss>
		</item>
		<item>
		<title>History&#8217;s Top Insights Into Brain Computation</title>
		<link>http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/</link>
		<comments>http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/#comments</comments>
		<pubDate>Sun, 29 Apr 2007 14:15:13 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[General Neuroscience]]></category>

		<category><![CDATA[History]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/</guid>
		<description><![CDATA[This post is the culmination of a month-long chronicling of the major brain computation insights of all time.
Some important insights were certainly left out, so feel free to add comments with your favorites.
Below you will find all 26 insights listed with links to their entries. At the end is the summary of the insights in [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/04/29/historys-top-insights-into-brain-computation/feed/</wfw:commentRss>
		</item>
		<item>
		<title>History&#8217;s Top Brain Computation Insights: Day 26</title>
		<link>http://www.neurevolution.net/2007/04/27/historys-top-brain-computation-insights-day-26/</link>
		<comments>http://www.neurevolution.net/2007/04/27/historys-top-brain-computation-insights-day-26/#comments</comments>
		<pubDate>Fri, 27 Apr 2007 18:22:06 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[History]]></category>

		<category><![CDATA[Neuroimaging]]></category>

		<category><![CDATA[Perception]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/27/historys-top-brain-computation-insights-day-26/</guid>
		<description><![CDATA[ 26) Some complex object categories, such as faces, have dedicated areas of cortex for processing them, but are also represented in a distributed fashion (Kanwisher - 1997, Haxby - 2001)
Early in her career Nancy Kanwisher used functional MRI (fMRI) to seek modules for perceptual and semantic processing. She was fortunate enough to discover what [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/04/27/historys-top-brain-computation-insights-day-26/feed/</wfw:commentRss>
		</item>
		<item>
		<title>History&#8217;s Top Brain Computation Insights: Day 25</title>
		<link>http://www.neurevolution.net/2007/04/26/historys-top-brain-computation-insights-day-25/</link>
		<comments>http://www.neurevolution.net/2007/04/26/historys-top-brain-computation-insights-day-25/#comments</comments>
		<pubDate>Fri, 27 Apr 2007 01:47:08 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Computational Modeling]]></category>

		<category><![CDATA[History]]></category>

		<category><![CDATA[Learning &amp; Memory]]></category>

		<category><![CDATA[Neurophysiology]]></category>

		<guid isPermaLink="false">http://www.neurevolution.net/2007/04/26/historys-top-brain-computation-insights-day-25/</guid>
		<description><![CDATA[25) The dopamine system implements a reward prediction error algorithm (Schultz - 1996, Sutton - 1988)
It used to be that the main thing anyone &#34;knew&#34; about the dopamine system was that it is important for motor control.&#160; Parkinson&#39;s disease, which visibly manifests itself as motor tremors, is caused by disruption of the dopamine system (specifically, [...]]]></description>
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		<title>Fair Use and Legal Intimidation in Science</title>
		<link>http://www.neurevolution.net/2007/04/26/fair-use-and-legal-intimidation-in-science/</link>
		<comments>http://www.neurevolution.net/2007/04/26/fair-use-and-legal-intimidation-in-science/#comments</comments>
		<pubDate>Thu, 26 Apr 2007 18:05:18 +0000</pubDate>
		<dc:creator>MWCole</dc:creator>
		
		<category><![CDATA[Science]]></category>

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		<description><![CDATA[Shelley Batts&#39;s Retrospectacle  neuroscience blog recently got hit with a legal threat  from journal publisher Wiley for posting some graphs  from a recently published article.
This request amounts to underhanded legal intimidation as using these graphs clearly falls under fair use. Shelley had clearly cited the source of the graph and accurately reported [...]]]></description>
		<wfw:commentRss>http://www.neurevolution.net/2007/04/26/fair-use-and-legal-intimidation-in-science/feed/</wfw:commentRss>
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