Results 11 to 20 of about 574,330 (219)
Understanding the Impact of Neural Variations and Random Connections on Inference
Frontiers in Computational Neuroscience, 2021 Recent research suggests that in vitro neural networks created from dissociated neurons may be used for computing and performing machine learning tasks.
Yuan Zeng +10 more
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Spiking Neural Networks and Their Applications: A Review
Brain Sciences, 2022 The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs.
Kashu Yamazaki +3 more
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Brain Sciences, 2020 Most existing cortico-hippocampal computational models use different artificial neural network topologies. These conventional approaches, which simulate various biological paradigms, can get slow training and inadequate conditioned responses for two ...
Mustafa Khalid +6 more
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CMOS circuit implementations for neuron models [PDF]
, 1990 The mathematical neuron basic cells used as basic cells in popular neural network architectures and algorithms are discussed. The most popular neuron models (without training) used in neural network architectures and algorithms (NNA) are considered ...
Linares Barranco, Bernabé +2 more
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm
Journal of Harbin University of Science and Technology, 2021 The structural design of neural network is one of the hot issues in neural network research The number of hidden layers and nodes has a great influence on the convergence speed and generalization ability of neural network Genetic algorithm is an adaptive
XILiang, WANGRui dong
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Deformation prediction programming based on MATLAB and BP neural network [PDF]
E3S Web of Conferences, 2022 In order to solve land tension problems, high-rise buildings become more and more common in the modern big cities. Meanwhile, it is necessary to monitor the deformation of the high-rise buildings for their safety. Based on the deformation monitoring data,
Zheng Haoxin, Chang Zhanqiang, Liu Jiaxi
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FitzHugh-Nagumo equations with generalized diffusive coupling
Mathematical Biosciences and Engineering, 2013 The aim of this work is to investigate the dynamics of a neural network, in which neurons, individually described by the FitzHugh-Nagumo model, are coupled by a generalized diffusive term.
Anna Cattani
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Anterior cingulate cortex and its input to the basolateral amygdala control innate fear response
Nature Communications, 2018 Brain circuits that control innate fear response are essential for an animal’s survival. Here, the authors report how the anterior cingulate cortex and its projection to amygdala control the innate fear response in mice.
Jinho Jhang +5 more
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On the role of synaptic stochasticity in training low-precision neural networks [PDF]
, 2018 Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes.
Baldassi, Carlo +6 more
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR
Acta Polytechnica CTU Proceedings, 2017 This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly
Martin Ruzek
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