<div dir="ltr"><p style="margin:0px;font-size:14px;font-family:Helvetica">Dear All,</p>
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<p style="margin:0px;font-size:14px;font-family:Helvetica">I’d like to point your attention to a new interpretation of the role of short-term plasticity. In a study about to appear in the journal Biological Cybernetics, and titled, “<b>Short-term plasticity as cause-effect hypothesis testing in distal reward learning</b>” --preprint available at <a href="http://arxiv.org/abs/1402.0710">http://arxiv.org/abs/1402.0710</a> -- I suggest a model in which transient weight changes serve to test hypotheses when learning with distal rewards (or also credit assignment problem). </p>
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<p style="margin:0px;font-size:14px;font-family:Helvetica">Only tested hypotheses (i.e. verified correct over many trials) are converted in long-term plastic changes, demonstrating how true cause-effect relationships can be discovered without affecting the existing weight structures, even with highly ambiguous information flow due to distal rewards and overlapping stimuli and actions. </p>
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<p style="margin:0px;font-size:14px;font-family:Helvetica">I hope you find it an interesting read. I would highly appreciate any comment, discussion, criticism or alternative idea. I’m interested in particular in discovering more biological studies supporting this new interpretation. </p>
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<p style="margin:0px;font-size:14px;font-family:Helvetica">Best regards,</p>
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<p style="margin:0px;font-size:14px;font-family:Helvetica">Andrea Soltoggio</p><div><br></div><div><br></div>-- <br><div dir="ltr"><div>Dr. Andrea Soltoggio<br></div><div>Haslegrave Building, N.2.03<br></div><div>Loughborough University</div>
<div>LE11 3TU</div><div>UK</div><div><br></div><div>Phone: +44 (0) 1509 635748</div><div>Email: <a href="mailto:a.soltoggio@lboro.ac.uk" target="_blank">a.soltoggio@lboro.ac.uk</a></div><div>Web: <a href="http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html" target="_blank">http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html</a></div>
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