<div dir="ltr"><div>Hi Steve,</div><div><br></div><div>You wrote: "Our work modeling mGluR does include G proteins.". Correct. But this is not what I asked you about. What is relevant in my work is G protein gated ion channels. I cannot find them in your paper. </div><div><br></div><div>This image is from your paper. There are no G protein-gated ion channels in this drawing. Right?</div><div><br></div><div><img src="cid:ii_ldlxpsdh0" alt="image.png" width="562" height="360"><br></div><div>Or did I miss something?</div><div><br></div><div>Danko</div><div><br></div><div><br></div><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr">Dr. Danko Nikolić<br><a href="http://www.danko-nikolic.com" target="_blank">www.danko-nikolic.com</a><br><a href="https://www.linkedin.com/in/danko-nikolic/" target="_blank">https://www.linkedin.com/in/danko-nikolic/</a><div><span style="color:rgb(34,34,34)">-- I wonder, how is the brain able to generate insight? --</span><br></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Feb 1, 2023 at 6:10 PM Grossberg, Stephen <<a href="mailto:steve@bu.edu">steve@bu.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div class="msg-3400532629226681059">




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Dear Danko,</div>
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Thanks for your speedy reply.</div>
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<b>Our work modeling mGluR does include G proteins</b>.</div>
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In particular, my first article with John Fiala provides a rather complete description of mGluR biochemistry.</div>
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See Figure 6, for example, in:</div>
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<span style="font-size:18pt;margin:0px;background-color:rgb(255,255,255)"><span style="margin:0px;background-color:rgb(255,255,255);display:inline"><span style="margin:0px;text-align:left;background-color:rgb(255,255,255);display:inline">Fiala,
 J.C., Grossberg, S., and Bullock, D. (1996). Metabotropic glutamate receptor activation in cerebellar Purkinje cells </span></span></span>
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 substrate for adaptive timing of the classically conditioned eye blink response.</span><span style="font-size:18px;font-family:Capita;margin:0px;color:rgb(85,85,85);text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-size:18pt;font-family:Arial,Helvetica,sans-serif;margin:0px;color:rgb(0,0,0);background-color:rgb(255,255,255)"> </span></span><span style="margin:0px;background-color:rgb(255,255,255)"><em style="box-sizing:border-box;text-align:left;background-color:rgb(255,255,255)">Journal
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<span style="font-size:18pt;margin:0px;background-color:rgb(255,255,255)"><a href="https://sites.bu.edu/steveg/files/2016/06/FiaGroBul1996JouNeuroscience.pdf" style="margin:0px" target="_blank">https://sites.bu.edu/steveg/files/2016/06/FiaGroBul1996JouNeuroscience.pdf</a></span><br>
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All of our later articles build on this foundation.</div>
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I also want to emphasize that we developed <b>neural system models</b> that include such receptors. </div>
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We simulated these models <span style="color:rgb(0,0,0);font-family:Arial,Helvetica,sans-serif;font-size:18pt">to show how their emergent properties quantitatively fit </span></div>
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<span style="color:rgb(0,0,0);font-family:Arial,Helvetica,sans-serif;font-size:18pt">the different kinds of behaviors that these systems regulate.</span></div>
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This <b>link between brain and behavior </b>provides an important test of the sufficiency of model hypotheses.</div>
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I did not see such a link in your article. If it was there, please let me know where I should look.</div>
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Thanks, and</div>
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Best,</div>
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Steve</div>
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<div id="m_7268162242907163622divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>From:</b> Danko Nikolic <<a href="mailto:danko.nikolic@gmail.com" target="_blank">danko.nikolic@gmail.com</a>><br>
<b>Sent:</b> Wednesday, February 1, 2023 11:47 AM<br>
<b>To:</b> Grossberg, Stephen <<a href="mailto:steve@bu.edu" target="_blank">steve@bu.edu</a>><br>
<b>Cc:</b> Post Connectionists <<a href="mailto:connectionists@mailman.srv.cs.cmu.edu" target="_blank">connectionists@mailman.srv.cs.cmu.edu</a>><br>
<b>Subject:</b> Re: Connectionists: Transient subnetwork selection: a new paradigm to replace connectionism?</font>
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<div>Dear Steve,</div>
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<div>Thank you for your email. I have a hard time seeing the relevance of those papers for my present work. There are thousands of papers on metabotropic receptors. However, here I put emphasis on their work in combination with G protein-gated ion channels.
 Do you have some papers about this combination: MRs and GPGICs working together to ensure transient subnetwork selection? </div>
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<div>If you do and if they fit into the paradigm, I will of course gladly cite them in my next paper.</div>
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<div>Thanks,</div>
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<div>Danko</div>
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<div dir="ltr">Dr. Danko Nikolić<br>
<a href="http://www.danko-nikolic.com" target="_blank">www.danko-nikolic.com</a><br>
<a href="https://www.linkedin.com/in/danko-nikolic/" target="_blank">https://www.linkedin.com/in/danko-nikolic/</a>
<div><span style="color:rgb(34,34,34)">-- I wonder, how is the brain able to generate insight? --</span><br>
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<div dir="ltr">On Wed, Feb 1, 2023 at 5:24 PM Grossberg, Stephen <<a href="mailto:steve@bu.edu" target="_blank">steve@bu.edu</a>> wrote:<br>
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Dear Danko,</div>
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Thanks very much for sharing your latest article with the connectionists list.</div>
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In it, you kindly mention my own work in several places. Thanks very much!</div>
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However, the statements that you make about it are not correct.</div>
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My Magnum Opus </div>
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<b>Conscious Mind, Resonant Brain: How Each Brain Makes a Mind</b></div>
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<a href="https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552" id="m_7268162242907163622x_m_1020288630203777692LPlnk468083" target="_blank">https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552</a><br>
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provides a self-contained and non-technical overview of many aspects of my work in which these problems</div>
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do not occur. I can provide examples if you would like, but will here focus on just one topic:</div>
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Your email mentions the importance of metabotropic receptors and suggest that they represent "<span style="font-size:18pt;background-color:rgb(255,255,255);display:inline">a new paradigm as an alternative to connectionism...</span><span style="font-size:18pt;background-color:rgb(255,255,255);display:inline">we
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<span style="font-size:18pt;background-color:rgb(255,255,255);display:inline"><b>Metabotropic glutamate receptors (mGluR)</b> have played an important role in our work about how our brains learn since our </span></div>
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<span style="font-size:18pt;background-color:rgb(255,255,255);display:inline"><i>Journal of Neuroscience</i> article </span><span style="font-size:18pt">in 1996 on this topic:</span></div>
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<span style="font-size:18pt;background-color:rgb(255,255,255);display:inline"><span style="font-size:18pt;text-align:left;background-color:rgb(255,255,255);display:inline">Fiala, J.C., Grossberg, S., and Bullock, D. (1996). Metabotropic glutamate receptor
 activation in cerebellar Purkinje cells </span></span></div>
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<span style="font-size:18pt;background-color:rgb(255,255,255);display:inline"><span style="font-size:18pt;text-align:left;background-color:rgb(255,255,255);display:inline">as substrate for adaptive timing of the classically conditioned eye blink response.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgb(255,255,255)"> </span></span><span style="font-size:18pt;background-color:rgb(255,255,255)"><em style="box-sizing:border-box;text-align:left;background-color:rgb(255,255,255)">Journal
 of Neuroscience</em></span><span style="font-size:18pt;text-align:left;background-color:rgb(255,255,255);display:inline">,</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgb(255,255,255)"> </span></span><span style="font-size:18pt;background-color:rgb(255,255,255)"><strong style="box-sizing:border-box;font-weight:bold;text-align:left;background-color:rgb(255,255,255)">16</strong></span><span style="font-size:18pt;text-align:left;background-color:rgb(255,255,255);display:inline">,
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<a href="https://sites.bu.edu/steveg/files/2016/06/FiaGroBul1996JouNeuroscience.pdf" id="m_7268162242907163622x_m_1020288630203777692LPNoLPOWALinkPreview" target="_blank">https://sites.bu.edu/steveg/files/2016/06/FiaGroBul1996JouNeuroscience.pdf</a><br>
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Later work modeled how they play a role in many other brain regions to regulate multiple types of behaviors. For example:</div>
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<span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">Grossberg, S. and Merrill, J.W.L. (1992). A neural network model of adaptively timed reinforcement learning and hippocampal dynamics.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span></div>
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<span style="font-size:18pt;background-color:rgba(0,0,0,0)"><em style="box-sizing:border-box;text-align:left;background-color:rgba(0,0,0,0)">Cognitive Brain Research</em></span><span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">,</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><strong style="box-sizing:border-box;font-weight:bold;text-align:left;background-color:rgba(0,0,0,0)">1</strong></span><span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">,
 3-38.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><br>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><a href="https://sites.bu.edu/steveg/files/2016/06/GroMer1992CogRes.pdf" id="m_7268162242907163622x_m_1020288630203777692LPlnk289312" target="_blank">https://sites.bu.edu/steveg/files/2016/06/GroMer1992CogRes.pdf</a><br>
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<span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">Grossberg, S. and Merrill, J.W.L. (l996). The hippocampus and cerebellum in adaptively timed learning, recognition, and movement.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="font-size:18pt;background-color:rgba(0,0,0,0)"><em style="box-sizing:border-box;text-align:left;background-color:rgba(0,0,0,0)">Journal of Cognitive Neuroscience,</em></span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><strong style="box-sizing:border-box;font-weight:bold;text-align:left;background-color:rgba(0,0,0,0)">8</strong></span><span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">,
 257-277.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><br>
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<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><a href="https://sites.bu.edu/steveg/files/2016/06/GroMer96.pdf" id="m_7268162242907163622x_m_1020288630203777692LPlnk374537" target="_blank">https://sites.bu.edu/steveg/files/2016/06/GroMer96.pdf</a><br>
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<span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">Brown, J., Bullock, D., and Grossberg, S. (1999). How the basal ganglia use parallel excitatory and inhibitory learning pathways </span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">to selectively respond to unexpected rewarding cues.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><em style="box-sizing:border-box;text-align:left;background-color:rgba(0,0,0,0)">Journal
 of Neuroscience,</em></span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><strong style="box-sizing:border-box;font-weight:bold;text-align:left;background-color:rgba(0,0,0,0)">19</strong></span><span style="font-size:18pt;text-align:left;background-color:rgba(0,0,0,0);display:inline">,
 10502-10511.</span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><a href="https://sites.bu.edu/steveg/files/2016/06/BroBulGro99.pdf" id="m_7268162242907163622x_m_1020288630203777692LPlnk888600" target="_blank">https://sites.bu.edu/steveg/files/2016/06/BroBulGro99.pdf</a></span></span></div>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">Grossberg,
 S., and Vladusich, T. (2010). How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools </span></span></span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">during
 social interactions?</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><em style="box-sizing:border-box;background-color:rgba(0,0,0,0)">Neural
 Networks</em></span><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">,</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><strong style="box-sizing:border-box;font-weight:bold;background-color:rgba(0,0,0,0)">23</strong></span><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">,
 940-965.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span><br>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><a href="https://sites.bu.edu/steveg/files/2016/06/GrossbergVladusichNN2010.pdf" id="m_7268162242907163622x_m_1020288630203777692LPlnkOWALinkPreview_1" target="_blank">https://sites.bu.edu/steveg/files/2016/06/GrossbergVladusichNN2010.pdf</a> </span></span><br>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><br>
</span></span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">Franklin,
 D. J., and Grossberg, S. (2017). A neural model of normal and abnormal learning and memory consolidation: </span></span></span></div>
<div style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0)">
<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">Adaptively
 timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness.</span><span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span></span></span></div>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0)"><em style="box-sizing:border-box;background-color:rgba(0,0,0,0)">Cognitive,
 Affective, and Behavioral Neuroscience</em></span><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline">, 17, 24-76.</span><br>
</span></span></div>
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<span style="color:rgb(85,85,85);font-family:Capita;font-size:18px;text-align:left;background-color:rgb(255,255,255);display:inline"><span style="font-family:Arial,Helvetica,sans-serif;font-size:18pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"><span style="font-size:18pt;background-color:rgba(0,0,0,0);display:inline"><a href="https://link.springer.com/article/10.3758/s13415-016-0463-y" id="m_7268162242907163622x_m_1020288630203777692LPNoLPOWALinkPreview_2" target="_blank">https://link.springer.com/article/10.3758/s13415-016-0463-y</a><br>
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I hope that you find these references useful in your own work, and welcome any comments or questions that you may have about</div>
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these results.</div>
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Best wishes,</div>
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Steve</div>
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<div style="font-weight:normal;border-collapse:separate;border-spacing:0px">Stephen Grossberg</div>
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<div><a href="http://sites.bu.edu/steveg" target="_blank">sites.bu.edu/steveg</a><br>
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<div id="m_7268162242907163622x_m_1020288630203777692divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>From:</b> Connectionists <<a href="mailto:connectionists-bounces@mailman.srv.cs.cmu.edu" target="_blank">connectionists-bounces@mailman.srv.cs.cmu.edu</a>>
 on behalf of Danko Nikolic <<a href="mailto:danko.nikolic@gmail.com" target="_blank">danko.nikolic@gmail.com</a>><br>
<b>Sent:</b> Tuesday, January 31, 2023 12:43 PM<br>
<b>To:</b> Post Connectionists <<a href="mailto:connectionists@mailman.srv.cs.cmu.edu" target="_blank">connectionists@mailman.srv.cs.cmu.edu</a>><br>
<b>Subject:</b> Connectionists: Transient subnetwork selection: a new paradigm to replace connectionism?</font>
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<div>Dear all,</div>
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<div>I am happy to announce that my paper, the draft of which has been discussed on this list, has yesterday finally been published after a peer review. </div>
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<div>This is probably the most important paper I have done in my career so far.</div>
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<div>To remind you, the paper proposes a new paradigm as an alternative to connectionism. To understand the mind, synapses are not so important any more. Instead, critical are some other types of proteins on the neural membrane. These proteins have the capability
 to transiently select subnetworks that will be functional in the next few seconds or minutes. The paradigm proposes that cognition emerges from those transient subnetwork selections (and not from network computations of the classical, the so-called connectionist
 paradigm). The proteins in question are metabotropic receptors and G protein-gated ion channels. Simply put, we think with those proteins. A result of a thought is a new state of network pathways, not the activity of neurons.</div>
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<div>I would like to thank the list for many of the comments that I received and that helped me improve the manuscript. For example, very useful was the information on the learning algorithms able to learn the n-bit parity problem (aka, generalized XOR), which
 I used to illustrate the scaling problems of deep learning. This made my supplementary materials much better. </div>
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<div>The paper can be downloaded without a paywall for 50 days, here:</div>
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<div dir="ltr"><a href="https://authors.elsevier.com/a/1gVvg5Fq7aXeir" target="_blank">https://authors.elsevier.com/a/1gVvg5Fq7aXeir</a>
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<div>The new version of the paper is much better than the original draft. It has more information, clearer explanations and improved structure.</div>
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<div>I hope the paper inspires people to investigate possibilities beyond connectionism both for understanding the brain and for building AI.</div>
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<div>For myself, I would love to build an AI based on these principles.</div>
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<div>Thanks a lot.</div>
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<div>Danko</div>
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<div dir="ltr">Dr. Danko Nikolić<br>
<a href="http://www.danko-nikolic.com" target="_blank">www.danko-nikolic.com</a><br>
<a href="https://www.linkedin.com/in/danko-nikolic/" target="_blank">https://www.linkedin.com/in/danko-nikolic/</a>
<div><span style="color:rgb(34,34,34)">-- I wonder, how is the brain able to generate insight? --</span><br>
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