To be clear, I am using the term “recurrent” as a kinda generic term meaning “having a connectivity graph in which there are cycles”. That’s what I think is ubiquitous in the neocortex. I absolutely do not think that “the kind of RNN that ML practitioners frequently use today” is similar to how the neocortex works. Indeed, I think very few ML practitioners are using algorithms that are fundamentally similar to brain algorithms. (I think Dileep George is one of the exceptions.)
Fodorian modules are, by definition, barely compatible with CCA
...unless the Fodorian modules are each running the same algorithm on different input data, right?
Well, no. In particular, if you feed the same sound input to linguistic module (PF) and to the module of (say, initially visual) perception, the very intuition behind Fodorian modules is that they will *not* do the same—PF will try to find linguistic expressions similar to the input whereas the perception module will try to, well, tell where the sound comes from, how loud it is and things like that.
Thank you for clearing up my confusion! :-)
To be clear, I am using the term “recurrent” as a kinda generic term meaning “having a connectivity graph in which there are cycles”. That’s what I think is ubiquitous in the neocortex. I absolutely do not think that “the kind of RNN that ML practitioners frequently use today” is similar to how the neocortex works. Indeed, I think very few ML practitioners are using algorithms that are fundamentally similar to brain algorithms. (I think Dileep George is one of the exceptions.)
...unless the Fodorian modules are each running the same algorithm on different input data, right?
Oh, then sorry about the RNN attack ;)
Well, no. In particular, if you feed the same sound input to linguistic module (PF) and to the module of (say, initially visual) perception, the very intuition behind Fodorian modules is that they will *not* do the same—PF will try to find linguistic expressions similar to the input whereas the perception module will try to, well, tell where the sound comes from, how loud it is and things like that.