Abstract We show that the complex connectivity of percolating networks of nanoparticles provides a natural solid-state system in which bottom-up assembly provides a route to realization of neuromorphic behavior. Below the percolation threshold the networks comprise groups of particles separated by tunnel gaps; an applied voltage causes atomic scale wires to form in the gaps, and we show that the avalanche of switching events that occurs is similar to potentiation in biological neural systems. We characterize the level of potentiation in the percolating system as a function of the surface coverage of nanoparticles and other experimentally relevant variables, and compare our results with those from biological systems. The complex pe...
Networks based on nanoscale resistive switching junctions are considered promising for the fabricati...
We study living neural networks by measuring the neurons' response to a global electrical stimulatio...
Percolation is a process that impairs network connectedness by deactivating links or nodes. This pro...
We report a detailed study of neuromorphic switching behaviour in inherently complex percolating net...
Self-assembled networks of nanoparticles and nanowires have recently emerged as promising systems f...
Conventional computer power has increased dramatically over the last 50 years due to reduction in th...
IEEE Nature-inspired neuromorphic architectures are being explored as an alternative to imminent lim...
Neuromorphic networks are formed by random self-assembly of silver nanowires. Silver nanowires are c...
Efforts to emulate the formidable information processing capabilities of the brain through neuromorp...
Efforts to emulate the formidable information processing capabilities of the brain through neuromorp...
The emergent dynamical behaviors of biological neuronal networks and other natural, complex systems ...
Computers have grown exponentially more powerful for decades, and so too has their ubiquity in human...
Engineering smart-materials with emergent properties requires designing and characterizing systems w...
Neuromorphic computing-which aims to mimic the collective and emergent behavior of the brain's neuro...
In the brain, learning is achieved through the ability of synapses to reconfigure the strength by wh...
Networks based on nanoscale resistive switching junctions are considered promising for the fabricati...
We study living neural networks by measuring the neurons' response to a global electrical stimulatio...
Percolation is a process that impairs network connectedness by deactivating links or nodes. This pro...
We report a detailed study of neuromorphic switching behaviour in inherently complex percolating net...
Self-assembled networks of nanoparticles and nanowires have recently emerged as promising systems f...
Conventional computer power has increased dramatically over the last 50 years due to reduction in th...
IEEE Nature-inspired neuromorphic architectures are being explored as an alternative to imminent lim...
Neuromorphic networks are formed by random self-assembly of silver nanowires. Silver nanowires are c...
Efforts to emulate the formidable information processing capabilities of the brain through neuromorp...
Efforts to emulate the formidable information processing capabilities of the brain through neuromorp...
The emergent dynamical behaviors of biological neuronal networks and other natural, complex systems ...
Computers have grown exponentially more powerful for decades, and so too has their ubiquity in human...
Engineering smart-materials with emergent properties requires designing and characterizing systems w...
Neuromorphic computing-which aims to mimic the collective and emergent behavior of the brain's neuro...
In the brain, learning is achieved through the ability of synapses to reconfigure the strength by wh...
Networks based on nanoscale resistive switching junctions are considered promising for the fabricati...
We study living neural networks by measuring the neurons' response to a global electrical stimulatio...
Percolation is a process that impairs network connectedness by deactivating links or nodes. This pro...