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			<div class="col-md-6 col-sm-12 col-xs-12"><h3><span >Neuronal Dynamics - Computational Neuroscience of Single Neurons</span></h3></div>
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		<p style="margin:0;"><div>This course gives an introduction to the field of theoretical and computational neuroscience&nbsp;with a focus on models of single neurons. Neurons encode information&nbsp;about stimuli in a sequence of short electrical pulses (spikes).&nbsp;Students will learn how mathematical tools&nbsp;such as differential equations, phase plane analysis, separation of time scales,&nbsp;and stochastic processes can be used to understand the dynamics&nbsp;of neurons and the neural code.</div><br><br><p><br /><br>Week 1: A first simple neuron model</p><br><br><p>Week 2:&nbsp; Hodgkin-Huxley models and biophysical modeling</p><br><br><p>Week 3: Two-dimensional models and phase plane analysis</p><br><br><p>Week 4: Two-dimensional models (cont.)/ Dendrites</p><br><br><p>Week 5: Variability of spike trains and the neural code</p><br><br><p>Week 6: Noise models, noisy neurons and coding</p><br><br><p>Week 7: Estimating neuron models for coding and decoding</p><br><br><p>Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs.&nbsp;<a href="https://www.edx.org/course/edx/edxdemo101/edx-demo/1038">Learn more</a>.</p><br></p>
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		<a class="newtablink" href="https://www.edx.org/course/neuronal-dynamics-computational-epflx-bio465-1x" target="_blank" style="color:#3C7F8C">https://www.edx.org/course/n...omputational-epflx-bio465-1x</a></span>
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		<div class="linfo"><span class="grayedtext">Starts :</span> 
			<span class="grayedtext" style="text-decoration: line-through;">2014-10-27</span></div>	</td>
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