Inspired by recent findings on how oscillations and waves in the brain might coordinate and distribute computation among sub-networks, this work focuses on the sub-network level and (1) develop algorithms and learning rules for flexible computation and self-organized reconfiguration of neuronal circuits based on coupled oscillator networks and (2) implement those dynamically reconfiguring neural networks (DRNNs) on energy-efficient superconducting devices based hardware systems. The resulting flexible neuromorphic computing system will have a broad range of applications, including complex contextual and adaptive processing, attention-guided computation, belief propagation-based inference, and coordinating computation in network-of-experts networks. Contact: Dilip Vasudevan

The ExPlor Center aims to understand and realize a biologically-plausible neuromorphic system that is hierarchical, scalable, intelligent, efficient, and high-throughput by (a) taking the ‘best-of-both-worlds’ of electronics/photonics and utilizing bio-inspired intelligent materials, (b) combining dynamic synaptic plasticity and dendrite computing for brain-derived learning algorithms at multiple spatio-temporal scales, (c) enabling adaptive self-reconfiguration for different environments and applications, and (d) exploiting intelligent ionic and photonic materials on the silicon ecosystem for a new generation of neuromorphic computing. Contact: Kristofer Bouchard