Results 121 to 130 of about 7,675,115 (371)

Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley, Bradley Judge, Dmitriy A. Yablonskiy, Robert T. Naismith, Matthew R. Brier, Anne H. Cross   +5 more
wiley   +1 more source

On the Kolmogorov neural networks

Neural Networks
14 pages, 1 figure; this article uses material from arXiv:2012 ...
Aysu Ismayilova, Vugar E. Ismailov
openaire   +5 more sources

Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi, Carla Franch‐Marti, Iñigo Ruiz‐Barrio, Frederic Sampedro, Jesus Perez‐Perez, Jordi A. Matias‐Guiu, Fernando Cuetos, Gonzalo Olmedo‐Saura, Laura Perez‐Carasol, Andrea Horta‐Barba, Ignacio Aracil‐Bolaños, Javier Pagonabarraga, Jaime Kulisevsky, Saul Martinez‐Horta   +13 more
wiley   +1 more source

Compact and low-power wireless headstage for electrocorticography recording of freely moving primates in a home cage

Frontiers in Neuroscience
ObjectiveWireless electrocorticography (ECoG) recording from unrestrained nonhuman primates during behavioral tasks is a potent method for investigating higher-order brain functions over extended periods.
Taro Kaiju, Masato Inoue, Masayuki Hirata, Masayuki Hirata, Takafumi Suzuki   +4 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  

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

Artificial Neural Networks in Medical Diagnosis

International Journal of Research Publication and Reviews
Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied.
Qeethara Al-Shayea
semanticscholar   +1 more source

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

Subrecursive neural networks

Neural Networks, 2019
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function (with Boolean outputs 0 or 1) are equivalent to finite automata (level 3 in the Chomsky hierarchy), while analog-state NNs with rational weights, employing the saturated-linear function (with real-number outputs in the ...
openaire   +4 more sources

Simplicial Neural Networks

, 2020
We present simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes. These are natural multi-dimensional extensions of graphs that encode not only pairwise relationships but also higher-order interactions between vertices - allowing us to consider richer ...
Michaël Defferrard, Stefania Ebli, Gard Spreemann   +2 more
openaire   +2 more sources