Goto

Collaborating Authors

 oscillating elman network


Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network

Neural Information Processing Systems

We show how an "Elman" network architecture, constructed from recurrently connected oscillatory associative memory network mod(cid:173) ules, can employ selective "attentional" control of synchronization to direct the flow of communication and computation within the architecture to solve a grammatical inference problem. Previously we have shown how the discrete time "Elman" network algorithm can be implemented in a network completely described by continuous ordinary differential equations. The time steps (ma(cid:173) chine cycles) of the system are implemented by rhythmic variation (clocking) of a bifurcation parameter. In this architecture, oscilla(cid:173) tion amplitude codes the information content or activity of a mod(cid:173) ule (unit), whereas phase and frequency are used to "softwire" the network. Only synchronized modules communicate by exchang(cid:173) ing amplitude information; the activity of non-resonating modules contributes incoherent crosstalk noise.