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I'm a graduate student in the Electrical Engineering Program currently working on my thesis and I have to figure out how to train synaptic weights in an Artificial Neural Network either analogously or digitally.

Can anyone suggest some base papers that I can read to get started on this and how I can proceed. Would really appreciate it. Thanks!

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  • $\begingroup$ I don't think this question is really on-topic for psych & neuroscience (but others may disagree with me) - Cross Validated might be better but they will probably prefer a more specific question rather than a broad reference request. I'd start by reading papers in your field that use ANNs and read the papers they cite for their methods. $\endgroup$ – Bryan Krause Jul 9 '18 at 21:46
  • $\begingroup$ I don't know if this will help, but it is where I've started in the past: See Andrew Ng's Machine Learning youtube.com/… To get familiar with the algorithms for training machine learning see the Python package Scikit-Learn: scikit-learn.org/stable/index.html These are general resources and you may be well beyond this already. $\endgroup$ – Frank Hubeny Jul 10 '18 at 1:07
  • $\begingroup$ @BryanKrause would Bioinformatics be an alternative? $\endgroup$ – AliceD Jul 10 '18 at 8:53
  • $\begingroup$ No bioinformatics would not. $\endgroup$ – Bryan Krause Jul 10 '18 at 14:01
  • $\begingroup$ What do you mean by "analogously or digitally"? Like, analogue neuromorphic hardware? $\endgroup$ – Seanny123 Jul 12 '18 at 1:03

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