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	<title>Comments on: 1 transistor per neuron recording device</title>
	<atom:link href="http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/feed/" rel="self" type="application/rss+xml" />
	<link>http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/</link>
	<description>at the intersection of neuroscience and AI.</description>
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		<title>By: BiPolar Disorder blog</title>
		<link>http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/comment-page-1/#comment-749606</link>
		<dc:creator>BiPolar Disorder blog</dc:creator>
		<pubDate>Sun, 09 Mar 2008 18:00:02 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/#comment-749606</guid>
		<description>&lt;strong&gt;BiPolar Information &lt;/strong&gt;

Information on BiPolar Disorder</description>
		<content:encoded><![CDATA[<p><strong>BiPolar Information </strong></p>
<p>Information on BiPolar Disorder</p>
]]></content:encoded>
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		<title>By: Neville</title>
		<link>http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/comment-page-1/#comment-4202</link>
		<dc:creator>Neville</dc:creator>
		<pubDate>Sat, 10 Jun 2006 08:52:10 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/#comment-4202</guid>
		<description>I&#039;ve been discussing this device a bit more with my friend Alex Shalek, a fabrication guy also doing work with neural recording devices. Here&#039;s some of our discussion about potential limitations of the technique, which I&#039;ve posted in its original dialogue format.

Alex:
&gt; &gt;&gt;&gt;Yep, I know the work well ... it&#039;s a really cool idea with a couple
&gt; &gt;&gt;&gt;limitations at present ... primarily, the heterogeneous distribution of
&gt; &gt;&gt;&gt;ion channels present across a neuron makes it hard to interpert signals
&gt; &gt;&gt;&gt;(e.g., you might have capacitive coupling or a leak current or anything).
&gt; &gt;&gt;&gt;The videos are cool as well - anyway, it would be better if they could
&gt; &gt;&gt;&gt;make an array of eos-fets rather then via-ed mosfets but they&#039;re harder to
&gt; &gt;&gt;&gt;scale ... enjoy your retreat and let me know about the cells ... I
&gt; &gt;&gt;&gt;appreciate everything,

Me:
&gt; &gt;&gt;Alex,
&gt; &gt;&gt;
&gt; &gt;&gt;Thanks for the interesting stuff to think about. Is the heterogeneity
&gt; &gt;&gt;really an
&gt; &gt;&gt;issue? Are the MOSFETs really limited to sensing such a small area that they
&gt; &gt;&gt;would be susceptible to ion channel inhomogeneities? (I&#039;m thinking of the FETs
&gt; &gt;&gt;as really tiny bipolar electrodes here, which I think it correct...) Are the
&gt; &gt;&gt;source and base terminals for each FET very close together in a chip
&gt; &gt;&gt;like this?

Alex:
&gt; &gt; Hey Neville,
&gt; &gt;
&gt; &gt; So, in short, the answer is yes - some of their older papers document this
&gt; &gt; well ... If you compare a patch recording (x) with what the FET sees (y),
&gt; &gt; sometimes x=y, sometimes dx/dt = y, sometimes -dx/dt = y, and everything
&gt; &gt; in between.  The real issue arises from the manner in which the FETs are
&gt; &gt; gated - basically, you&#039;re using gradients in the ion concentration as the
&gt; &gt; gating mechanism ... if you have a distribution, and those channels have
&gt; &gt; different polarities and opening times, it becomes very hard to figure
&gt; &gt; out what&#039;s going on ... and even without ion channels, you can get a
&gt; &gt; capacitive signal from the membrane.  In CMOS, there&#039;s only one carrier
&gt; &gt; (the electron), here everything is much more complicated ... finally, to
&gt; &gt; help you think about size, remember that the FETs are at 7 um pitch -
&gt; &gt; that means that within 7 um, you have a source, a gate, and a drain for
&gt; &gt; the FET and a spacer area (between it and the adjacent FET) ... this
&gt; &gt; means that the gate is relatively small ... I hope this helps,

Me:
&gt;&gt; I see what you mean... I can imagine that the terminals
&gt;&gt; could be small enough that you would have issues with
&gt;&gt; spatial inhomogeneity. I guess the best solution would be to
&gt;&gt; pack the chip at an even higher density. Then, you&#039;d hope
&gt;&gt; that certain spatially continguous sets of FETs covary
&gt;&gt; together enough that you&#039;d believe that they were controlled
&gt;&gt; by a single cell...

Alex:
&gt; Neville,
&gt;
&gt; I should point out that it&#039;s a brilliant idea - it just hasn&#039;t proven
&gt; itself yet ... you&#039;re right about generating algorithms to interpret the
&gt; data - the big problem then is the size of the data stream - 2khz*10^4
&gt; transitors*experiment time = a lot of data to store and then correlate
&gt; and then analyze ... it&#039;s daunting to say the least ... we thought about
&gt; modifying Fromherz&#039;s FET design originally (and probably will do something
&gt; like it in the not so distant future), but opted not to based on the fact
&gt; that, for large data sets, you want to be positive from which neuron
&gt; you&#039;re recording ... also, we wanted to study intrinsic changes (e.g.,
&gt; resting membrane potential) ...</description>
		<content:encoded><![CDATA[<p>I&#8217;ve been discussing this device a bit more with my friend Alex Shalek, a fabrication guy also doing work with neural recording devices. Here&#8217;s some of our discussion about potential limitations of the technique, which I&#8217;ve posted in its original dialogue format.</p>
<p>Alex:<br />
&gt; &gt;&gt;&gt;Yep, I know the work well &#8230; it&#8217;s a really cool idea with a couple<br />
&gt; &gt;&gt;&gt;limitations at present &#8230; primarily, the heterogeneous distribution of<br />
&gt; &gt;&gt;&gt;ion channels present across a neuron makes it hard to interpert signals<br />
&gt; &gt;&gt;&gt;(e.g., you might have capacitive coupling or a leak current or anything).<br />
&gt; &gt;&gt;&gt;The videos are cool as well &#8211; anyway, it would be better if they could<br />
&gt; &gt;&gt;&gt;make an array of eos-fets rather then via-ed mosfets but they&#8217;re harder to<br />
&gt; &gt;&gt;&gt;scale &#8230; enjoy your retreat and let me know about the cells &#8230; I<br />
&gt; &gt;&gt;&gt;appreciate everything,</p>
<p>Me:<br />
&gt; &gt;&gt;Alex,<br />
&gt; &gt;&gt;<br />
&gt; &gt;&gt;Thanks for the interesting stuff to think about. Is the heterogeneity<br />
&gt; &gt;&gt;really an<br />
&gt; &gt;&gt;issue? Are the MOSFETs really limited to sensing such a small area that they<br />
&gt; &gt;&gt;would be susceptible to ion channel inhomogeneities? (I&#8217;m thinking of the FETs<br />
&gt; &gt;&gt;as really tiny bipolar electrodes here, which I think it correct&#8230;) Are the<br />
&gt; &gt;&gt;source and base terminals for each FET very close together in a chip<br />
&gt; &gt;&gt;like this?</p>
<p>Alex:<br />
&gt; &gt; Hey Neville,<br />
&gt; &gt;<br />
&gt; &gt; So, in short, the answer is yes &#8211; some of their older papers document this<br />
&gt; &gt; well &#8230; If you compare a patch recording (x) with what the FET sees (y),<br />
&gt; &gt; sometimes x=y, sometimes dx/dt = y, sometimes -dx/dt = y, and everything<br />
&gt; &gt; in between.  The real issue arises from the manner in which the FETs are<br />
&gt; &gt; gated &#8211; basically, you&#8217;re using gradients in the ion concentration as the<br />
&gt; &gt; gating mechanism &#8230; if you have a distribution, and those channels have<br />
&gt; &gt; different polarities and opening times, it becomes very hard to figure<br />
&gt; &gt; out what&#8217;s going on &#8230; and even without ion channels, you can get a<br />
&gt; &gt; capacitive signal from the membrane.  In CMOS, there&#8217;s only one carrier<br />
&gt; &gt; (the electron), here everything is much more complicated &#8230; finally, to<br />
&gt; &gt; help you think about size, remember that the FETs are at 7 um pitch -<br />
&gt; &gt; that means that within 7 um, you have a source, a gate, and a drain for<br />
&gt; &gt; the FET and a spacer area (between it and the adjacent FET) &#8230; this<br />
&gt; &gt; means that the gate is relatively small &#8230; I hope this helps,</p>
<p>Me:<br />
&gt;&gt; I see what you mean&#8230; I can imagine that the terminals<br />
&gt;&gt; could be small enough that you would have issues with<br />
&gt;&gt; spatial inhomogeneity. I guess the best solution would be to<br />
&gt;&gt; pack the chip at an even higher density. Then, you&#8217;d hope<br />
&gt;&gt; that certain spatially continguous sets of FETs covary<br />
&gt;&gt; together enough that you&#8217;d believe that they were controlled<br />
&gt;&gt; by a single cell&#8230;</p>
<p>Alex:<br />
&gt; Neville,<br />
&gt;<br />
&gt; I should point out that it&#8217;s a brilliant idea &#8211; it just hasn&#8217;t proven<br />
&gt; itself yet &#8230; you&#8217;re right about generating algorithms to interpret the<br />
&gt; data &#8211; the big problem then is the size of the data stream &#8211; 2khz*10^4<br />
&gt; transitors*experiment time = a lot of data to store and then correlate<br />
&gt; and then analyze &#8230; it&#8217;s daunting to say the least &#8230; we thought about<br />
&gt; modifying Fromherz&#8217;s FET design originally (and probably will do something<br />
&gt; like it in the not so distant future), but opted not to based on the fact<br />
&gt; that, for large data sets, you want to be positive from which neuron<br />
&gt; you&#8217;re recording &#8230; also, we wanted to study intrinsic changes (e.g.,<br />
&gt; resting membrane potential) &#8230;</p>
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		<title>By: Zack Lynch</title>
		<link>http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/comment-page-1/#comment-4188</link>
		<dc:creator>Zack Lynch</dc:creator>
		<pubDate>Fri, 09 Jun 2006 15:47:23 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/2006/06/04/sciencedaily-semiconductor-brain-nerve-tissue-interfaced-with-a-computer-chip/#comment-4188</guid>
		<description>This is quite a impressive development indeed.  It looks like extracellular resolution will increase in a Moore&#039;s law like fashion in the coming years, but this still leaves the complexity of the intracellular matrix a relative black box.  Until that is figured out in more detail the development of a &quot;functional&quot; hippocampal neuroprosthetic will remain very difficult.</description>
		<content:encoded><![CDATA[<p>This is quite a impressive development indeed.  It looks like extracellular resolution will increase in a Moore&#8217;s law like fashion in the coming years, but this still leaves the complexity of the intracellular matrix a relative black box.  Until that is figured out in more detail the development of a &#8220;functional&#8221; hippocampal neuroprosthetic will remain very difficult.</p>
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