Logic computation using coupled neural oscillators

This work presents our recent work in using neural oscillators inspired by olfactory cortex models for Boolean logic computation. Two such coupled oscillators are sufficient to implement all the Boolean primitives (including AND, OR and XOR). Although the same computational model is being studied as a content addressable memory, these results indicate that additional computational power exists in this class of oscillatory neural networks. Detailed configuration of the proposed structure, experimental results and potential applications are presented.