Neuromorphic engineering

Invariant (physics)

Computer network

Mathematics

Mathematical physics

Distributed computing

Statistics

Computer architecture

Artificial intelligence

Coherence (philosophical gambling strategy)

Computer science

Routing (electronic design automation)

Artificial neural network

We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier architecture: a raw input tier, a routing control tier, and an invariant output tier. The correct mapping between input and output tiers is realized by an appropriate alignment of the phases of their respective background oscillations by the routing control units. We present an example architecture, implemented on a neuromorphic chip, that is able to achieve circular-shift invariance. A simple extension to our model can accomplish circular-shift dynamic routing with only O(N) connections, compared to O(N2) connections required by traditional models.

An in-silico Neural Model of Dynamic Routing through Neuronal Coherence