Frequency-dependent oscillatory neural profiles during imitation
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep45806
Abstract: Imitation is a complex process that includes higher-order cognitive and motor function. This process requires an observation-execution matching system that transforms an observed action into an identical movement. Although the low-gamma band is thought to… read more here.
Keywords: low gamma; gamma band; oscillatory neural; imitation ... See more keywords
Effect of Device Mismatches in Differential Oscillatory Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3221540
Abstract: Analog implementation of Oscillatory Neural Networks (ONNs) has the potential to implement fast and ultra-low-power computing capabilities. One of the drawbacks of analog implementation is component mismatches which cause desynchronization and instability in ONNs. Emerging… read more here.
Keywords: neural networks; mismatches differential; oscillatory neurons; synaptic circuits ... See more keywords
Understanding Rhythmic Synchronization of Oscillatory Neural Networks Based on NbOx Artificial Neurons for Edge Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2023.3263818
Abstract: Oscillatory neural networks (ONNs) directly emulate signal communication between biological neurons in the human brain by encoding the data in phase domain, enabling energy-efficient associative memory. An oscillation neuron (ON) element that generates continuous voltage… read more here.
Keywords: neural networks; detection; oscillatory neural; understanding rhythmic ... See more keywords
Energy-Performance Assessment of Oscillatory Neural Networks Based on VO 2 Devices for Future Edge AI Computing.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3238473
Abstract: Oscillatory neural network (ONN) is an emerging neuromorphic architecture composed of oscillators that implement neurons and are coupled by synapses. ONNs exhibit rich dynamics and associative properties, which can be used to solve problems in… read more here.
Keywords: neural networks; energy performance; energy; oscillatory neural ... See more keywords
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.655823
Abstract: Nano-oscillators based on phase-transition materials are being explored for the implementation of different non-conventional computing paradigms. In particular, vanadium dioxide (VO2) devices are used to design autonomous non-linear oscillators from which oscillatory neural networks (ONNs)… read more here.
Keywords: networks using; neural networks; oscillatory neural; based phase ... See more keywords