Warrick Roseboom, Zafeirios Fountas, Kyriacos Nikiforou, David Bhowmik, Murray Shanahan, Anil K. Seth
Review posted on 07th August 2017
Interesting idea (disclaimer: I don't work on time perception). I was hoping the authors could clarify a couple of things about the model.
1. How were the parameters in Table 1 (T_max, T_min and tau) obtained? Via hand-tuning or some kind of crossval?
2. How robust are the model's decisions to the particular choice of parameters in Table 1?
3. What happens if the attention network is turned off (i.e. train SVR on raw Euclidean distances)?
4. Have the authors tested the choice of these parameters and the training of the SVR using separate videos to those shown to participants? That is, perform 10-fold crossval over a different set of videos to select hyperparams before testing on the validation set (those videos shown to humans).
5. It might be worthwhile showing that the model is robust to training on different durations than those shown to participants (e.g. 0.5, 1.2, 1.7 sec instead of 1, 1.5, 2) to check that the RBF has not overfit to those timepoints?
- reference to Kriegeskorte appears twice [5 and 16].
- label units in Figure 3 A–E with seconds instead of power units. Tickmarks could be more visible.
- label y-axis of Figure 3E.