DOC: Add local and deterministic tractography questions to README table

Add local and deterministic tractography questions to the episode table
in the `README` file.

README.md

@@ -45,8 +45,8 @@ This lesson teaches:
 |       | 30   | [3\.1 Diffusion Tensor Imaging (DTI)][episode04]        | What is diffusion tensor imaging?<br />What metrics can be derived from DTI?                                            | 
 |       | 30   | [3\.2 Constrained Spherical Deconvolution (CSD)][episode05]        | What is Constrained Spherical Deconvolution (CSD)?<br />What does CSD offer compared to DTI?                           | 
 | **Tractography**      | 30   | [4 Tractography][episode06]        | What information can dMRI provide at the long range level?                   | 
-|       | 30   | [4\.1 Local tractography][episode07]        | FIXME                                                                        | 
-|       | 30   | [4\.1.1 Deterministic tractography][episode08]        | FIXME                                                                        | 
+|       | 30   | [4\.1 Local tractography][episode07]        | What input data does a local tractography method require?<br />Which steps does a local tractography method follow? |
+|       | 30   | [4\.1.1 Deterministic tractography][episode08]        | What computations does a deterministic tractography require? <br /> How can we visualize the streamlines generated by a tractography method? |
 |       | 30   | [4\.1.2 Probabilistic tractography][episode09]        | Why do we need tractography algorithms beyond the deterministic ones?<br />How is probabilistic tractography different from deterministic tractography?        | 
 
 ## Contributing