Results 121 to 130 of about 1,932,979 (312)

Adaptive Biological Neural Network Control and Virtual Realization for Engineering Manipulator. [PDF]

Comput Intell Neurosci, 2022
Guo H, Liu H, Zhou D, He Y.
europepmc   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Classification System of National Music Rhythm Spectrogram Based on Biological Neural Network. [PDF]

Comput Intell Neurosci, 2022
Mi D, Qin L.
europepmc   +1 more source

A Comprehensive Overview of the Clinical, Electrophysiological, and Neuroimaging Features of BPAN: Insights From a New Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun, Ozgu Kizek, Sibel Aylin Ugur Iseri, Ibrahim Kamaci, Ayse Deniz Elmali, Pinar Iscen, Berfin Gulkaya Guzel, Gul Yalcin Cakmakli, Bulent Elibol, Berril Donmez, Raif Cakmur, Pinar Topaloglu, Turkish NBIA Study Group, Abdullah Acar, Ahmet Acarer, Arzu Karabay, Asuman Ali, Ayla Barlas, Aysegul Gunduz, Banu Ozen Barut, Baris Baslo, Bilge Kocer, Bilgehan Mus, Birsen Karaman, Burcu Gokce Cokal, Cem Ismail Kucukali, Cenk Akbostanci, Ceyhun Sayman, Cagla Turan, Dilek Ince Gunal, Ebru Bilge Dirik, Ebru Erzurumluoglu, Elif Kocasoy Orhan, Enes Demiryurek, Emrah Yucesan, Ercan Kose, Erdem Tuzun, Esen Saka Topcuoglu, Esra Okuyucu, Fatma Betul Ozdilek, Feriha Ozer, Gencer Genc, Gozde Unal, Gulay Kenangil, Gullu Tarhan, Gunes Kiziltan, Halil Onder, Hamit Genc, Hasmet Hanagasi, Hatice Yuksel, Hulya Apaydin, Koray Kirimtay, Mehmet Guney Senol, Melisa Kilic, Meltem Demirkiran, Mert Karaca, Miray Erdem, Muhammet Bilgehan Mus, Murat Gultekin, Nalan Capan, Nazan Karagoz Sakalli, Nazli Basak, Nihan Hande Akcakaya, Ozan Ezer, Ozge Uygun, Ozge Yilmaz Kuspeci, Ozgur Oztop Cakmak, Pervin Iseri, Petek Ballar Kirmizibayrak, Pinar Elkoca, Recep Alp, Remzi Yigiter, Rezzak Yilmaz, Sadika Ozdemir, Selda Keskin, Selen Ilhan Alp, Selen Soylu, Serdar Ceylaner, Serhat Ozkan, Sevda Erer Ozbek, Sevgin Gundogan, Sevil Yasufli, Sezin Alpaydin Baslo, Sibel Ertan, Sultan Cagirici, Seyma Aykac, Vuslat Yilmaz, Yaprak Secil, Yasar Kutukcu, Yeliz Ciftci, Yesim Sucullu Karadag, Yildiz Değirmenci, Zeliha Matur, Nerses Bebek, Murat Emre, Zuhal Yapici   +95 more
wiley   +1 more source

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin, Haocheng Yang, Feng Liu, Sihao Lin, Junru Hu, Jian Wang, Yulan Gou   +6 more
wiley   +1 more source

Decoupling Control Based on Fuzzy Neural-Network Inverse System in Marine Biological Enzyme Fermentation Process

IEEE Access, 2018
The marine biological enzyme fermentation process is a time-varying, nonlinear, uncertain, and multivariable system, so high performance decoupling control is a target to seek.
Xiang Lin Zhu, Zhe Yu Jiang, Bo Wang, Yu Jun He   +3 more
doaj   +1 more source

Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

PLoS Comput. Biol., 2018
Artificial neural networks (ANN) are computing architectures with many interconnections of simple neural-inspired computing elements, and have been applied to biomedical fields such as imaging analysis and diagnosis. We have developed a new ANN framework
T. Ching, Xun Zhu, L. Garmire
semanticscholar   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

A Novel Biologically Inspired Neural Network and Its Application on the Locomotion Control of Quadruped Robot [PDF]

, 2015
Lei Sun, Yan Cao, Zhu De-quan
openalex   +1 more source

Synaptic balancing: a biologically plausible local learning rule that provably increases neural network noise robustness without sacrificing task performance

, 2022
Christopher H. Stock, Sarah E. Harvey, Samuel A. Ocko, Surya Ganguli   +3 more
openalex   +1 more source