Results 101 to 110 of about 815,001 (281)

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Neural networks utilization in the video game industry

Вестник университета
The scope of the video game industry and the use of neural networks in it have been studied. The impact of this technology on the computer games development process has been analyzed, the efficiency of its application in this area noted.
V. V. Godin, A. E. Terekhova, D. N. Bulatov, I. А. Zaremba   +3 more
doaj   +1 more source

Deep neural networks outperform human expert's capacity in characterizing bioleaching bacterial biofilm composition

Biotechnology Reports, 2019
Background: Deep neural networks have been successfully applied to diverse fields of computer vision. However, they only outperform human capacities in a few cases.
Antoine Buetti-Dinh, Vanni Galli, Sören Bellenberg, Olga Ilie, Malte Herold, Stephan Christel, Mariia Boretska, Igor V. Pivkin, Paul Wilmes, Wolfgang Sand, Mario Vera, Mark Dopson   +11 more
doaj   +1 more source

DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework

, 2006
In a Spiking Neural Networks (SNN), spike emissions are sparsely and irregularly distributed both in time and in the network architecture. Since a current feature of SNNs is a low average activity, efficient implementations of SNNs are usually based on ...
Mouraud, Anthony, Paugam-Moisy, Hélène, Puzenat, Didier   +2 more
core   +2 more sources

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Deep Complex Networks

, 2018
At present, the vast majority of building blocks, techniques, and architectures for deep learning are based on real-valued operations and representations.
Bengio, Yoshua, Bilaniuk, Olexa, Mehri, Soroush, Pal, Christopher J, Rostamzadeh, Negar, Santos, João Felipe, Serdyuk, Dmitriy, Subramanian, Sandeep, Trabelsi, Chiheb, Zhang, Ying   +9 more
core  

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

Boosted Jet Tagging with Jet-Images and Deep Neural Networks

EPJ Web of Conferences, 2016
Building on the jet-image based representation of high energy jets, we develop computer vision based techniques for jet tagging through the use of deep neural networks.
Kagan Michael, de Oliveira Luke, Mackey Lester, Nachman Benjamin, Schwartzman Ariel   +4 more
doaj   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source