Artificial neuronal devices based on emerging materials: neuronal dynamics and applications

H Liu, Y Qin, HY Chen, J Wu, J Ma, Z Du… - Advanced …, 2023 - Wiley Online Library
Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Review of the VO2 smart material applications with emphasis on its use for spacecraft thermal control

E Haddad, RV Kruzelecky, P Murzionak… - Frontiers in …, 2022 - frontiersin.org
It is surprising to see the wide range and versatile potential of applications of the VO2, due to
its transition from a semiconductor phase at low temperature, to a metallic state at high …

Energy-Performance Assessment of Oscillatory Neural Networks Based on VO Devices for Future Edge AI Computing

C Delacour, S Carapezzi, M Abernot… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Oscillatory neural network (ONN) is an emerging neuromorphic architecture composed of
oscillators that implement neurons and are coupled by synapses. ONNs exhibit rich …

Mapping hebbian learning rules to coupling resistances for oscillatory neural networks

C Delacour, A Todri-Sanial - Frontiers in neuroscience, 2021 - frontiersin.org
Oscillatory Neural Network (ONN) is an emerging neuromorphic architecture with oscillators
representing neurons and information encoded in oscillator's phase relations. In an ONN …

Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures

M Abernot, TS Aida - Neuromorphic Computing and Engineering, 2023 - iopscience.iop.org
The growing number of edge devices in everyday life generates a considerable amount of
data that current AI algorithms, like artificial neural networks, cannot handle inside edge …

Coupled memristor oscillators for neuromorphic locomotion control: Modeling and analysis

A Bonagiri, D Biswas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recent surge of interest in brain-inspired architectures along with the development of
nonlinear dynamical electronic devices and circuits has enabled energy-efficient hardware …

Oscillatory neural networks for edge ai computing

C Delacour, S Carapezzi, M Abernot… - 2021 IEEE computer …, 2021 - ieeexplore.ieee.org
In this paper, we showcase the innovative concept of implementing Oscillatory Neural
Networks (ONNs) for neuromorphic computing with beyond-CMOS devices based on …

Operating Coupled VO₂-Based Oscillators for Solving Ising Models

MJ Avedillo, M Jiménez Través, C Delacour… - 2023 - digital.csic.es
Coupled nano-oscillators are attracting increasing interest because of their potential to
perform computation efficiently, enabling new applications in computing and information …

Advanced design methods from materials and devices to circuits for brain-inspired oscillatory neural networks for edge computing

S Carapezzi, G Boschetto, C Delacour… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this paper, we assess an innovative concept of emulating biological neurons with
oscillators to implement an oscillatory neural network (ONN) with beyond-CMOS devices …

A mixed-signal oscillatory neural network for scalable analog computations in phase domain

C Delacour, S Carapezzi, G Boschetto… - Neuromorphic …, 2023 - iopscience.iop.org
Digital electronics based on von Neumann's architecture is reaching its limits to solve large-
scale problems essentially due to the memory fetching. Instead, recent efforts to bring the …