Sensory neuronopathies, diagnostic criteria and causes
Sign Up to like & getrecommendations! Published in 2022 at "Current Opinion in Neurology"
DOI: 10.1097/wco.0000000000001105
Abstract: Purpose of review To stress on the diagnostic strategy of sensory neuronopathies (SNN), including new genes and antibodies. Recent finding SNN involve paraneoplastic, dysimmune, toxic, viral and genetic mechanisms. About one-third remains idiopathic. Recently, new… read more here.
Keywords: snn; anti fgfr3; sensory neuronopathies; anti ago ... See more keywords
Spike Counts Based Low Complexity SNN Architecture With Binary Synapse
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2945406
Abstract: In this paper, we present an energy and area efficient spike neural network (SNN) processor based on novel spike counts based methods. For the low cost SNN design, we propose hardware-friendly complexity reduction techniques for… read more here.
Keywords: snn; counts based; low complexity; spike counts ... See more keywords
Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.684113
Abstract: This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ultra-low-power internet-of-things (IoT) devices. Such always-on hardware tends… read more here.
Keywords: ultra low; power; snn; spiking neural ... See more keywords
ALSA: Associative Learning Based Supervised Learning Algorithm for SNN
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.838832
Abstract: Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of SNNs is still… read more here.
Keywords: snn; associative learning; supervised learning; method snns ... See more keywords
The Influence of the Number of Spiking Neurons on Synaptic Plasticity
Sign Up to like & getrecommendations! Published in 2023 at "Biomimetics"
DOI: 10.3390/biomimetics8010028
Abstract: The main advantages of spiking neural networks are the high biological plausibility and their fast response due to spiking behaviour. The response time decreases significantly in the hardware implementation of SNN because the neurons operate… read more here.
Keywords: snn; number; plasticity; influence number ... See more keywords