Results 91 to 100 of about 852,410 (222)

Cortex Neural Network: learning with Neural Network groups [PDF]

arXiv, 2018
Neural Network has been successfully applied to many real-world problems, such as image recognition and machine translation. However, for the current architecture of neural networks, it is hard to perform complex cognitive tasks, for example, to process the image and audio inputs together. Cortex, as an important architecture in the brain, is important
arxiv  

GPU Acceleration of Sparse Neural Networks [PDF]

arXiv, 2020
In this paper, we use graphics processing units(GPU) to accelerate sparse and arbitrary structured neural networks. Sparse networks have nodes in the network that are not fully connected with nodes in preceding and following layers, and arbitrary structure neural networks have different number of nodes in each layers.
arxiv  

A Novel CHMP2B Splicing Variant in Atypical Presentation of Familial Frontotemporal Lobar Degeneration

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT C‐truncating variants in the charged multivesicular body protein 2B (CHMP2B) gene are a rare cause of frontotemporal lobar degeneration (FTLD), previously identified only in Denmark, Belgium, and China. We report a novel CHMP2B splice‐site variant (c.35‐1G>A) associated with familial FTLD in Spain. The cases were two monozygotic male twins who
Sara Rubio‐Guerra, Sara Bernal, David Almenta, Josefina Pérez‐Blanco, Valle Camacho, Isabel Sala, Mª Belén Sánchez‐Saudinós, Jesús García Castro, Judit Selma‐González, Miguel Ángel Santos‐Santos, Álvaro Carbayo, Janina Turon‐Sans, Ricard Rojas‐Garcia, Daniel Alcolea, Juan Fortea, Alberto Lleó, Oriol Dols‐Icardo, Ignacio Illán‐Gala   +17 more
wiley   +1 more source

Probabilistic classification of quality of service in wireless computer networks

ICT Express, 2019
There is an increasing reliance on wireless computer networks for communicating various types of time sensitive applications such as voice over internet protocol (VoIP). Quality of service (QoS) can play an important role in wireless computer networks as
Abdussalam Salama, Reza Saatchi
doaj  

Unary Coding for Neural Network Learning [PDF]

arXiv, 2010
This paper presents some properties of unary coding of significance for biological learning and instantaneously trained neural networks.
arxiv  

Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo   +7 more
wiley   +1 more source

Cortical Excitability Before and After Long‐Term Perampanel Treatment for Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Antiseizure medications (ASMs), which may influence cortical excitability, are the mainstay of epilepsy treatment. Transcranial magnetic stimulation (TMS) helps evaluate cortical excitability. We assessed changes in TMS responses using serial TMS measurements in people treated with an adjunctive noncompetitive AMPA‐receptor ...
Robert M. Helling, Johannes P. van Dijk, Prisca R. Bauer, Roland D. Thijs, Josemir W. Sander, Machiel Zwarts, Gerhard H. Visser   +6 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

Combining Recurrent and Convolutional Neural Networks for Relation Classification [PDF]

arXiv, 2016
This paper investigates two different neural architectures for the task of relation classification: convolutional neural networks and recurrent neural networks. For both models, we demonstrate the effect of different architectural choices. We present a new context representation for convolutional neural networks for relation classification (extended ...
arxiv  

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch [PDF]

SoftwareX, 30 102163 (2025)
Neural networks used in computations with more advanced algebras than real numbers perform better in some applications. However, there is no general framework for constructing hypercomplex neural networks. We propose a library integrated with Keras that can do computations within TensorFlow and PyTorch.
arxiv   +1 more source