Analysis of neural clusters due to deep brain stimulation pulses
Sign Up to like & getrecommendations! Published in 2020 at "Biological cybernetics"
DOI: 10.1007/s00422-020-00850-w
Abstract: Deep brain stimulation (DBS) is an established method for treating pathological conditions such as Parkinson's disease, dystonia, Tourette syndrome, and essential tremor. While the precise mechanisms which underly the effectiveness of DBS are not fully… read more here.
Keywords: analysis neural; deep brain; stimulation; neural clusters ... See more keywords
PCANN: Principal Convolutional Analysis Neural Network for Block Chain based Diabetic Retinopathy Detection.
Sign Up to like & getrecommendations! Published in 2025 at "Current eye research"
DOI: 10.1080/02713683.2025.2584214
Abstract: PURPOSE Diabetic retinopathy is an ophthalmic disease that impairs the retinal blood vessels. Diabetic retinopathy can lead to blindness when it is not examined in earlier phases. Adversely, the accurate diabetic retinopathy recognition phase is… read more here.
Keywords: convolutional analysis; principal convolutional; analysis; diabetic retinopathy ... See more keywords
Quantum-inspired analysis of neural network vulnerabilities: the role of conjugate variables in system attacks
Sign Up to like & getrecommendations! Published in 2024 at "National Science Review"
DOI: 10.1093/nsr/nwae141
Abstract: ABSTRACT Neural networks demonstrate vulnerability to small, non-random perturbations, emerging as adversarial attacks. Such attacks, born from the gradient of the loss function relative to the input, are discerned as input conjugates, revealing a systemic… read more here.
Keywords: inspired analysis; network vulnerabilities; network; analysis neural ... See more keywords
Spatial-Temporal Analysis of Neural Desynchronization in Sleeplike States Reveals Critical Dynamics.
Sign Up to like & getrecommendations! Published in 2024 at "Physical review letters"
DOI: 10.1103/physrevlett.132.218403
Abstract: Sleep is characterized by nonrapid eye movement sleep, originating from widespread neuronal synchrony, and rapid eye movement sleep, with neuronal desynchronization akin to waking behavior. While these were thought to be global brain states, recent… read more here.
Keywords: neural desynchronization; analysis neural; spatial temporal; desynchronization ... See more keywords
Analysis of Neural Networks for Predicting Time Series When Assessing Industrial Safety Risks
Sign Up to like & getrecommendations! Published in 2020 at "TEM Journal"
DOI: 10.18421/tem92-08
Abstract: The paper describes the choice of an artificial neural network (ANN), the most effective for use in problems of modeling the behavior of complex dynamic systems with the subsequent solution of the forecast problem. The… read more here.
Keywords: analysis neural; neural networks; networks predicting; safety ... See more keywords
Evaluation of the Second Premolar’s Bud Position Using Computer Image Analysis and Neural Modelling Methods
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192215240
Abstract: Panoramic radiograph is a universally used diagnostic method in dentistry for identifying various dental anomalies and assessing developmental stages of the dentition. The second premolar is the tooth with the highest number of developmental abnormalities.… read more here.
Keywords: second premolar; using computer; computer image; analysis ... See more keywords
Systematic Alignment Analysis of Neural Transplant Cells in Electrospun Nanofibre Scaffolds
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma16010124
Abstract: Spinal cord injury is debilitating with functional loss often permanent due to a lack of neuro-regenerative or neuro-therapeutic strategies. A promising approach to enhance biological function is through implantation of tissue engineered constructs, to offer… read more here.
Keywords: alignment analysis; neural stem; neural transplant; analysis ... See more keywords
Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset
Sign Up to like & getrecommendations! Published in 2021 at "Elektronika ir Elektrotechnika"
DOI: 10.5755/j02.eie.28881
Abstract: This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and for… read more here.
Keywords: networks weights; analysis neural; neural networks; weights mnist ... See more keywords