Results 101 to 110 of about 3,951 (305)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

DeepActivity: a micro-Doppler spectrogram-based net for human behaviour recognition in bio-radar

The Journal of Engineering, 2019
The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify ...
Hao Du, Tian Jin, Yongping Song, Yongpeng Dai   +3 more
doaj   +1 more source

Turing universality of neural nets (revisited)

, 1997
We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. We emphasize the modular construction of nets within nets, a relevant issue
Neto, Pedro J., Suárez Araujo, C. P., Costa, Félix J., Siegelmann, Hava T.   +3 more
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Efficient detection of false data injection attack with invertible automatic encoder and long-short-term memory

IET Cyber-Physical Systems, 2019
The false data injection attack can tamper with the measurement information collected by the Supervisory Control and Data Acquisition, threat the security of state estimation. Therefore, the analysing methods and detection methods of false data injection
Yuancheng Li, Wendan Huo, Rixuan Qiu, Jing Zeng   +3 more
doaj   +1 more source

Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages [PDF]

, 2002
Training first-order recurrent neural networks to predict symbol sequences from context-free or context-sensitive languages is known as a hard task. A prototype software system has been implemented that can train these networks and evaluate performance after training.
Stephan K. Chalup, Alan D. Blair
openaire   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Cyberbullying Detection in Arabic Text Using Different Deep Learning Approaches

Wasit Journal of Computer and Mathematics Science
The rise of social media has enabled the rapid spread of user-generated content across various domains, including advertising, entertainment, politics, and economics.
Humera Shaziya
doaj   +1 more source

Learning DALTS for cross-modal retrieval

CAAI Transactions on Intelligence Technology, 2019
Cross-modal retrieval has been recently proposed to find an appropriate subspace, where the similarity across different modalities such as image and text can be directly measured.
Zheng Yu, Wenmin Wang
doaj   +1 more source

A systematic method for configuring VLSI networks of spiking neurons

, 2011
Neftci E, Chicca E, Indiveri G, Douglas RJ. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation. 2011;23(10):2457-2497.An increasing number of research groups are developing custom hybrid analog/digital very large ...
Rodney Douglas, Chicca, E, Douglas, R. J., Neftci, E, Indiveri, G., Indiveri, G, Giacomo Indiveri, Elisabetta Chicca, Emre Neftci, Chicca, Elisabetta ; https://orcid.org/, Douglas, R, Neftci, E.   +11 more
core   +1 more source