A5093252901- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Neural Networks and Applications
MacDiarmid Institute for Advanced Materials and Nanotechnology
2023-2024
University of Canterbury
2023-2024
The complex self-assembled network of neurons and synapses that comprises the biological brain enables natural information processing with remarkable efficiency. Percolating networks nanoparticles (PNNs) are nanoscale systems have been shown to possess many promising brain-like attributes which therefore appealing for neuromorphic computation. Here experiments performed show PNNs can be utilized as physical reservoirs within a nanoelectronic reservoir computing framework demonstrate...
Abstract Percolating Networks of Nanoparticles (PNNs) are promising systems for neuromorphic computing due to their brain-like network structure and dynamics. In particular, electrical spiking in PNNs meets criteria criticality, which is thought be the operating point biological brains associated with optimal computation. Previous work showed through simulations that can used as core stochastic component a probabilistic scheme. Here, we demonstrate route experimental implementation an...
The biological brain is a highly efficient computational system in which information processing performed via electrical spikes. Neuromorphic computing systems that work on similar principles could support the development of next generation artificial intelligence and, particular, enable low-power edge computing. Percolating networks nanoparticles (PNNs) have previously been shown to exhibit critical spiking behavior, with promise for natural computation. Here we employ rate coding scheme...
As growth in global demand for computing power continues to outpace ongoing improvements transistor-based hardware, novel solutions are required. One promising approach employs stochastic nanoscale devices accelerate probabilistic algorithms. Percolating Networks of Nanoparticles (PNNs) exhibit spiking, which is particular interest as it meets criteria criticality associated with a range computational advantages. Here, we show several ways spiking PNNs can be used the core components coupled...