Results 71 to 80 of about 68,187 (284)

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

An artificial spiking afferent nerve based on Mott memristors for neurorobotics

Nature Communications, 2020
Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking afferent
Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qiangfei Xia, Qi Liu, Ming Liu, J. Joshua Yang   +16 more
doaj   +1 more source

Ketogenic Diet as an Epigenetic Therapy in SETD1B‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Histone lysine methyltransferases such as SETD1B regulate chromatin structure and gene transcription. Ketone bodies, including butyrate, act as histone deacetylase inhibitors. We report a 4‐year‐old boy with SETD1B‐related absence epilepsy, refractory to conventional medications, who achieved sustained > 90% seizure reduction on the Modified ...
Erica Tsang, Brian S. Gloss, Jessica P. Hayes, Andrew J. A. Holland, Manoj P. Menezes, Joceline A. Branson, Shekeeb S. Mohammad, Jingya J. Yan, Shrujna Patel, Velda X. Han, Russell C. Dale   +10 more
wiley   +1 more source

A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification

Frontiers in Artificial Intelligence, 2022
A spiking neural network model inspired by synaptic pruning is developed and trained to extract features of hand-written digits. The network is composed of three spiking neural layers and one output neuron whose firing rate is used for classification ...
Faramarz Faghihi, Hany Alashwal, Ahmed A. Moustafa, Ahmed A. Moustafa   +3 more
doaj   +1 more source

A spiking neural network for real-time Spanish vowel phonemes recognition [PDF]

, 2017
This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural network composed of three types of neurons is proposed. These neurons are based on an integrative and fire model and are capable
Gómez Rodríguez, Francisco de Asís, Jiménez Fernández, Ángel Francisco, Jiménez Moreno, Gabriel, Miró Amarante, María Lourdes   +3 more
core  

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]

, 2019
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott, Bartolozzi, Bartolozzi, Benjamin, Bi, Bohte, Detorakis, Faisal, Fouda, Fouda, Furber, Gerstner, Gerstner, Goldberg, Gütig, Hinton, Hopfield, Huayaney, Hyvärinen, Ielmini, Indiveri, Isomura, Jolivet, Katz, Kim, Levy, Li, Lillicrap, Maass, Mead, Merolla, Moreno-Bote, Naous, Neftci, Neftci, Neftci, Paille, Park, Pfister, Prezioso, Puglisi, Qiao, Querlioz, Savin, Saïghi, Schultz, Shouval, Tiago, Urbanczik, Wan, Wang, Williams, Woo, Xie, Yarom, Yu, Yu   +56 more
core   +2 more sources

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Modeling spiking neural networks

Theoretical Computer Science, 2008
AbstractA notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematical framework, but it can also be illustrated graphically and can be extended into a language in order to be automated. Its basic building blocks are processing entities,
Zaharakis, Ioannis D., Kameas, Achilles D.   +1 more
openaire   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

Frontiers in Neuroinformatics, 2018
The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms.
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma   +6 more
doaj   +1 more source