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<body class='hmmessage'><div dir='ltr'>Hi Luc<br>Thank you for the response. The example file that you mentioned is correctly for a modulated connection. This example however is using an error signal that is computed by an error-ensemble. I am purely interested in using the STDP learning rule, as described a bit further down in the Bekolay paper. This learning rule was first described by Pfister and Gerstner and takes the parameters, t^pre, t^post1, t^pre2, A^-_2, A^-_3, tau_- and tau_x. The learning rule itself takes the form of<br><div id="inlineImage0" style="display: inline-block"><script type="jsv#1037_"></script> <span contenteditable="true"> </span> <div initwidth="638" initheight="104" class="inlineImage" style="display: inline-block" unselectable="on" contenteditable="false"><img src="cid:inlineImage0" height="104" width="638"></div> <span contenteditable="true"> </span><script type="jsv/1037_"></script></div><br>This learning rule is supposedly already implemented in Nengo, I am just not able to use it, as I am unaware of how to create a connection that is modulated by this rule and not the normal error-ensemble modulated connection.<br>Regards<br>Claus Agerskov<br><br><div><hr id="stopSpelling">Date: Wed, 5 Nov 2014 12:54:39 +0100<br>Subject: nengo-user Digest, Vol 16,Issue 1 "Creating a STDP connection between two ensembles, (Claus Agerskov)"<br>From: lucvanneste37@gmail.com<br>To: nengo-user@ctnsrv.uwaterloo.ca<br>CC: clausagerskov@hotmail.com<br><br><div dir="ltr"><div>Hi Claus,</div><div><br></div><div>you can find a well working coding for such a connection in the 'Build a Brain' folder, chapter 6, 'learn.py'. It opens in wordpad.</div><div><br></div><div>Chapter 7.5. "Nengo: Advanced Modeling Methods", p284 in 'How to Build a Brain' by C. Eliasmith, gives you a lot more practical tips.</div><div><br></div><div>Success,</div><div><br></div><div>Luc Vanneste </div></div></div> </div></body>
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