Results 21 to 30 of about 2,000,131 (360)
Modeling self-developing biological neural networks [PDF]
Neurocomputing, 2007 Recent progress in chips-neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step to designing such computing systems is to build an abstract model of self-assembled biological neural networks, much like computer architects manipulate abstract models of transistors. In this article, we propose a
Berry, Hugues, Temam, Olivier
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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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Energy coding in biological neural networks [PDF]
Cognitive Neurodynamics, 2007 According to the experimental result of signal transmission and neuronal energetic demands being tightly coupled to information coding in the cerebral cortex, we present a brand new scientific theory that offers an unique mechanism for brain information processing.
Rubin, Wang, Zhikang, Zhang
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Towards a robust out-of-the-box neural network model for genomic data
BMC Bioinformatics, 2022 Background The accurate prediction of biological features from genomic data is paramount for precision medicine and sustainable agriculture. For decades, neural network models have been widely popular in fields like computer vision, astrophysics and ...
Zhaoyi Zhang +2 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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Biologically informed deep neural network for prostate cancer discovery
Nature, 2021 The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge1,2.
Haitham A. Elmarakeby +13 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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Biological Factor Regulatory Neural Network
, 2023 Genes are fundamental for analyzing biological systems and many recent works proposed to utilize gene expression for various biological tasks by deep learning models. Despite their promising performance, it is hard for deep neural networks to provide biological insights for humans due to their black-box nature.
Dai, Xinnan +4 more
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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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