We would like to test the DSTRF model on higher dimensional stimuli to understand higher dimension responses from neurons (Nagel & Doupe 2008; Theunissen et al., 2000). Stimuli such as birdsong exist in a 2-D stimulus space, and the DSTRF method may allow us to understand how neurons in specific regions behave in response to random, non-random, and natural stimuli.
The ultimate test of the DSTRF model proposed in this paper is its application to real data obtained from in-vivo recordings. The next step would then be obtaining large amounts of spiking data from multiple neurons. We would then apply this method to these data in order to inspect both the dynamic properties of these neurons in the DSTRF framework as well as obtain a possible filter for these neurons and compare our findings with previous findings in the literature.