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Author: slinderman

_downloads/c765cd7aee12cad777331107470bfc79/11_hmms.pdf

@@ -56,10 +56,11 @@ The lectures develop the theory behind the methods developed in the labs (i.e.,
 
 | Date        | Neuro Topic | ML Topic | Reading | Assignment |
 | ----------- | ------------------ | -------- | ------- | ---------- |
-| Mon, May 5  | Behavioral Segmentation | Hidden Markov Models (HMMs) | | |
-| Wed, May 7  | Behavioral Segmentation | Expectation Maximization (EM) | | <span style="color:red">**Lab 5 Due** <br> **Lab 6 Out**</span> |
+| Mon, May 5  | Behavioral Segmentation{Download}`[slides]<slides/pdf/11_hmms.pdf>` | Hidden Markov Models (HMMs) | [HMMs](https://slinderman.github.io/ml4nd/chapters/13_hmms.html) | |
+| Wed, May 7  | Behavioral Segmentation{Download}`[slides]<slides/pdf/12_em.pdf>` | Expectation Maximization (EM) | [HMMs](https://slinderman.github.io/ml4nd/chapters/13_hmms.html) | <span style="color:red">**Lab 5 Due** <br> **Lab 6 Out**</span> |
 | Mon, May 12 | Neural Dynamics | Linear Dynamical Systems (LDS) | | | 
 | Wed, May 14 | Neural Dynamics | Switching Linear Dynamical Systems (SLDS) | | <span style="color:red">**Lab 6 Due** <br> **Lab 7 Out**</span> |
+| Fri, May 16 | &mdash; | &mdash; | | <span style="color:red">**Project Proposal Due**</span> |
 
 ### Unit IV: Current Research Topics
 
@@ -85,12 +86,14 @@ The lectures develop the theory behind the methods developed in the labs (i.e.,
 1. [Lab 1: Spike Sorting by Clustering](https://slinderman.github.io/ml4nd/labs/01a_spike_sorting.html). Due Wed, Apr 9 at 11:59pm.
 2. [Lab 2: Calcium Demixing and Deconvolution](https://slinderman.github.io/ml4nd/labs/02_calcium_imaging.html) Due Wed, Apr 16 at 11:59pm.
 3. [Lab 3: Markerless Pose Tracking](https://slinderman.github.io/ml4nd/labs/03_pose_tracking.html) Due Wed, Apr 23 at 11:59pm.
+4. [Lab 4: Generalized Linear Models](https://slinderman.github.io/ml4nd/labs/04_glms.html) Due Wed, Apr 30 at 11:59pm.
+5. [Lab 5: Bayesian Decoding](https://slinderman.github.io/ml4nd/labs/05_decoding.html) Due Wed, May 7 at 11:59pm.
 
 ## Final project
 
 - You will work on the final project in teams of 2 people (you choose your team!)
 - You must use real neural or behavioral data. We will provide links to suggested datasets, or if you are an experimentalist, you can use your own.
-- A project proposal will be due **TBD.**
+- A project proposal will be due **Fri, May 16 at 11:59pm.**
 - The final report will be due **Mon, June 9 at 11:59pm.**
 
 ## Late Policy

_downloads/eeadd5dacc0cbae449ad3cbfb16ddba0/12_em.pdf

@@ -494,15 +494,15 @@ <h3>Unit III: Unsupervised models of neural and behavioral data<a class="headerl
 </thead>
 <tbody>
 <tr class="row-even"><td><p>Mon, May 5</p></td>
-<td><p>Behavioral Segmentation</p></td>
+<td><p>Behavioral Segmentation<a class="reference download internal" download="" href="_downloads/c765cd7aee12cad777331107470bfc79/11_hmms.pdf"><code class="xref download docutils literal notranslate"><span class="pre">[slides]</span></code></a></p></td>
 <td><p>Hidden Markov Models (HMMs)</p></td>
-<td><p></p></td>
+<td><p><a class="reference external" href="https://slinderman.github.io/ml4nd/chapters/13_hmms.html">HMMs</a></p></td>
 <td><p></p></td>
 </tr>
 <tr class="row-odd"><td><p>Wed, May 7</p></td>
-<td><p>Behavioral Segmentation</p></td>
+<td><p>Behavioral Segmentation<a class="reference download internal" download="" href="_downloads/eeadd5dacc0cbae449ad3cbfb16ddba0/12_em.pdf"><code class="xref download docutils literal notranslate"><span class="pre">[slides]</span></code></a></p></td>
 <td><p>Expectation Maximization (EM)</p></td>
-<td><p></p></td>
+<td><p><a class="reference external" href="https://slinderman.github.io/ml4nd/chapters/13_hmms.html">HMMs</a></p></td>
 <td><p><span style="color:red"><strong>Lab 5 Due</strong> <br> <strong>Lab 6 Out</strong></span></p></td>
 </tr>
 <tr class="row-even"><td><p>Mon, May 12</p></td>
@@ -517,6 +517,12 @@ <h3>Unit III: Unsupervised models of neural and behavioral data<a class="headerl
 <td><p></p></td>
 <td><p><span style="color:red"><strong>Lab 6 Due</strong> <br> <strong>Lab 7 Out</strong></span></p></td>
 </tr>
+<tr class="row-even"><td><p>Fri, May 16</p></td>
+<td><p>—</p></td>
+<td><p>—</p></td>
+<td><p></p></td>
+<td><p><span style="color:red"><strong>Project Proposal Due</strong></span></p></td>
+</tr>
 </tbody>
 </table>
 </div>
@@ -587,6 +593,8 @@ <h3>Links to Assignments<a class="headerlink" href="#links-to-assignments" title
 <li><p><a class="reference external" href="https://slinderman.github.io/ml4nd/labs/01a_spike_sorting.html">Lab 1: Spike Sorting by Clustering</a>. Due Wed, Apr 9 at 11:59pm.</p></li>
 <li><p><a class="reference external" href="https://slinderman.github.io/ml4nd/labs/02_calcium_imaging.html">Lab 2: Calcium Demixing and Deconvolution</a> Due Wed, Apr 16 at 11:59pm.</p></li>
 <li><p><a class="reference external" href="https://slinderman.github.io/ml4nd/labs/03_pose_tracking.html">Lab 3: Markerless Pose Tracking</a> Due Wed, Apr 23 at 11:59pm.</p></li>
+<li><p><a class="reference external" href="https://slinderman.github.io/ml4nd/labs/04_glms.html">Lab 4: Generalized Linear Models</a> Due Wed, Apr 30 at 11:59pm.</p></li>
+<li><p><a class="reference external" href="https://slinderman.github.io/ml4nd/labs/05_decoding.html">Lab 5: Bayesian Decoding</a> Due Wed, May 7 at 11:59pm.</p></li>
 </ol>
 </section>
 </section>
@@ -595,7 +603,7 @@ <h2>Final project<a class="headerlink" href="#final-project" title="Link to this
 <ul class="simple">
 <li><p>You will work on the final project in teams of 2 people (you choose your team!)</p></li>
 <li><p>You must use real neural or behavioral data. We will provide links to suggested datasets, or if you are an experimentalist, you can use your own.</p></li>
-<li><p>A project proposal will be due <strong>TBD.</strong></p></li>
+<li><p>A project proposal will be due <strong>Fri, May 16 at 11:59pm.</strong></p></li>
 <li><p>The final report will be due <strong>Mon, June 9 at 11:59pm.</strong></p></li>
 </ul>
 </section>