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 Build a hebbian learning python class<br />
 Test module with one hot vectors labels<br /> </p>
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+		    <h3 class="section-heading">Bayes and Bach: An RNN-powered affair <br/> <a href="https://github.com/qtabs/BayesPlusBach/"> (@qtabs)</a> </h3>
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+		    <p class="text-muted"> In this project will train RNNs to perceive sequences of tones or chords from noisy versions of Bach's compositions and study whether the networks learn to predict the next tone. </p>
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+			    Goals</h3>
+		    <p class="text-muted"> Train RNNs to perceive sequences of tones or chords from noisy versions of Bach's compositions <br />
+Study whether the networks learn to predict the next tone <br />
+Learn how to curate and retrieve data Learn how to train state-of-the-art neural network models<br /> 
+Learn how to curate and retrieve data Learn how to train state-of-the-art neural network models<br /> </p>
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+		   <h3 class="section-heading"> EEL-Hack: Learning to develop an mTRF pipeline with eelbrain <br/> <a href=""> (@)</a> </h3>
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+		    <p class="text-muted"> n this project we will learn how to use the Python toolbox ‘Eelbrain’, addressing all the necessary steps to compute mTRF (data organization, predictor setting, etc.) on a publicly available EEG dataset. </p>
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