Results 61 to 70 of about 76,325 (312)
Constructing an Associative Memory System Using Spiking Neural Network
Frontiers in Neuroscience, 2019 Development of computer science has led to the blooming of artificial intelligence (AI), and neural networks are the core of AI research. Although mainstream neural networks have done well in the fields of image processing and speech recognition, they do
Hu He +12 more
doaj +1 more source
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 +3 more
wiley +1 more source
Training a digital model of a deep spiking neural network using backpropagation [PDF]
E3S Web of Conferences, 2020 Deep spiking neural networks are one of the promising eventbased sensor signal processing concepts. However, the practical application of such networks is difficult with standard deep neural network training packages.
Bondarev V
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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 +8 more
wiley +1 more source
Advancing Neural Networks: Innovations and Impacts on Energy Consumption
Advanced Electronic MaterialsThe energy efficiency of Artificial Intelligence (AI) systems is a crucial and actual issue that may have an important impact on an ecological, economic and technological level.
Alina Fedorova +9 more
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IEEE AccessCausal inference is an important function of the nervous system. To explore causal inference, Bayesian inference performs as the possible framework, mapping neural implementation onto various cortical areas.
Weisi Liu, Xiaogang Pan
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A neural circuit for navigation inspired by C. elegans Chemotaxis [PDF]
, 2014 We develop an artificial neural circuit for contour tracking and navigation inspired by the chemotaxis of the nematode Caenorhabditis elegans. In order to harness the computational advantages spiking neural networks promise over their non-spiking ...
Rajendran, Bipin, Santurkar, Shibani
core
Spiking mode-based neural networks
Physical Review E30 pages, 10 figures, submitted to ...
Zhanghan Lin, Haiping Huang
openaire +3 more sources
Advanced Functional Materials, EarlyView.This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han +17 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 +16 more
doaj +1 more source