As a newbie, I’m enjoying the nengo a lot! using the examples, I can see that a set of non-neural inputs can be fed into a model by nengo.Node() and nengo.processes.PresentInput().
Now lets say I have saved the output stream of an event-based sensor such as DVS into multiple files, each file keeps all the events related to one scene, for example I expose one finger to the camera and save all the events in one file, then expose two fingers to the camera and save all the events into a different file. Now I’ve a set of files and each includes a set of events. How can I use them as input to my model for training purposes?
To be more clear lets compare my problem with the MNIST example:
In MNIST example, inputs are MNIST files (images) presented at time interval t=0.1
In my data set, each file is a set of events. I need to present each file separately for training and each file has a set of events that need to be presented with a time interval t.
Any help is appreciated.