作者: 燒瓶 時(shí)間: 2025-3-21 21:07 作者: 發(fā)生 時(shí)間: 2025-3-22 01:29
Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout bio-electrical behaviour of neurons. However, it is still unclear which are the neural mechanisms that are involved and how the external stimulation changes the neural responses at network-level. In this paper, we have exploited the simulations carried out using a spiking neural network model, whic作者: 路標(biāo) 時(shí)間: 2025-3-22 08:08 作者: 來(lái)自于 時(shí)間: 2025-3-22 11:09 作者: 催眠藥 時(shí)間: 2025-3-22 14:13 作者: Archipelago 時(shí)間: 2025-3-22 19:32 作者: elucidate 時(shí)間: 2025-3-23 00:45 作者: semiskilled 時(shí)間: 2025-3-23 03:24
An Hybrid Attention-Based System for?the?Prediction of Facial Attributesetwork. Even though deep learning achieved a very high performance on several challenging visual tasks, such as determining the identity, age, gender and race, it still lacks a well grounded theory which allows to properly understand the processes taking place inside the network layers. Therefore, m作者: MOCK 時(shí)間: 2025-3-23 05:32
The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios This interdisciplinary approach is currently regaining momentum due to the revived interest in neural networks and deep learning. Methods borrowed from statistical mechanics complement other approaches to the theory of computational and statistical learning. In this brief review, we outline and ill作者: Interim 時(shí)間: 2025-3-23 11:59 作者: G-spot 時(shí)間: 2025-3-23 13:55 作者: Initial 時(shí)間: 2025-3-23 21:50 作者: Obvious 時(shí)間: 2025-3-24 00:20 作者: 譏笑 時(shí)間: 2025-3-24 02:23
https://doi.org/10.1007/978-3-030-55490-3 cellular level. We use this data set to explore pre-α (cell) islands of layer 2 in the entorhinal cortex (EC), which are early affected in Alzheimer’s disease and have therefore been the focus of research for many years. They appear mostly in a round and elongated shape as shown in microscopic stud作者: Confess 時(shí)間: 2025-3-24 09:25 作者: Ankylo- 時(shí)間: 2025-3-24 13:56 作者: ABYSS 時(shí)間: 2025-3-24 15:43 作者: 全能 時(shí)間: 2025-3-24 22:02 作者: 改良 時(shí)間: 2025-3-24 23:30 作者: 諂媚于性 時(shí)間: 2025-3-25 04:02
M. Despontin,P. Nijkamp,J. Spronkional Polarized Light Imaging (3D-PLI) at the mesoscale (i.e., 64?.m). Here, we present an automatic denoising procedure for gray matter regions that allows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions,作者: diskitis 時(shí)間: 2025-3-25 10:55
Classical Macro-Economic Theoryme types of neuron that compose it. These findings inspired researchers in image processing and computer vision to deploy such models to solve problems of visual data processing..In this paper, we review approaches for image processing and computer vision, the design of which is based on neuro-scien作者: 不斷的變動(dòng) 時(shí)間: 2025-3-25 15:17
Groundwater and Water Management,etwork. Even though deep learning achieved a very high performance on several challenging visual tasks, such as determining the identity, age, gender and race, it still lacks a well grounded theory which allows to properly understand the processes taking place inside the network layers. Therefore, m作者: arbiter 時(shí)間: 2025-3-25 16:17 作者: 和平主義 時(shí)間: 2025-3-25 22:07
Richard Brook Cathcart,Viorel Badescu emotions in healthcare is demonstrated by the various applications which encompass patient monitoring and adverse events prediction. Thanks to the availability of large datasets, most of which are extracted from social media platforms, several techniques for extracting emotion and opinion from diff作者: adroit 時(shí)間: 2025-3-26 00:41
https://doi.org/10.1007/978-3-030-82427-3artificial intelligence; communication systems; computer hardware; computer networks; computer programmi作者: Mystic 時(shí)間: 2025-3-26 07:06 作者: Ointment 時(shí)間: 2025-3-26 12:21 作者: FIG 時(shí)間: 2025-3-26 15:57
Classical Macro-Economic Theoryof the visual system of the brain and the structure of Convolutional Networks (ConvNets). We pay particular attention to the mechanisms of inhibition of the responses of some neurons, which provide the visual system with improved stability to changing input stimuli, and discuss their implementation in image processing operators and in ConvNets.作者: Ostrich 時(shí)間: 2025-3-26 18:12 作者: offense 時(shí)間: 2025-3-26 22:50
Brain-Inspired Algorithms for Processing of Visual Dataof the visual system of the brain and the structure of Convolutional Networks (ConvNets). We pay particular attention to the mechanisms of inhibition of the responses of some neurons, which provide the visual system with improved stability to changing input stimuli, and discuss their implementation in image processing operators and in ConvNets.作者: predict 時(shí)間: 2025-3-27 04:29 作者: 泄露 時(shí)間: 2025-3-27 06:38
M. Despontin,P. Nijkamp,J. Spronkallows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions, we applied the denoising procedure to several 3D-PLI images from a rat and a vervet monkey brain section.作者: Amenable 時(shí)間: 2025-3-27 10:50
Independent Component Analysis for Noise and Artifact Removal in Three-Dimensional Polarized Light Iallows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions, we applied the denoising procedure to several 3D-PLI images from a rat and a vervet monkey brain section.作者: Agronomy 時(shí)間: 2025-3-27 15:56 作者: VICT 時(shí)間: 2025-3-27 19:41
Conference proceedings‘‘‘‘‘‘‘‘ 2021traro, Italy, in July 2019...The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural a作者: Carcinogenesis 時(shí)間: 2025-3-28 01:24
https://doi.org/10.1007/978-3-319-15054-3te the approach: the learning of a linearly separable rule by a perceptron with continuous and with discrete weights, respectively. We address these prototypical problems in terms of the simplifying limit of stochastic training at high formal temperature and obtain the corresponding learning curves.作者: MAG 時(shí)間: 2025-3-28 02:29 作者: Analogy 時(shí)間: 2025-3-28 07:45
https://doi.org/10.1007/978-3-030-55490-3alization using high-performance computing (HPC). Islands were visualized as 3D surfaces and their geometry was analyzed. Their morphology was complex: they appeared to be composed of interconnected islands of different types found in 2D histological sections of EC, with various shapes in 3D. Differ作者: Affirm 時(shí)間: 2025-3-28 11:45 作者: 遭遇 時(shí)間: 2025-3-28 14:38 作者: 向外供接觸 時(shí)間: 2025-3-28 21:16 作者: 凝乳 時(shí)間: 2025-3-29 02:52
https://doi.org/10.1007/978-3-642-46504-8e-infrastructure resources. In this article we describe the underlying concepts for an audience of computational science end-users and developers of domain-specific applications, workflows and platforms services. To exemplify the use of Fenix, we will discuss selected use cases demonstrating how bra作者: Exonerate 時(shí)間: 2025-3-29 05:12
Groundwater and Water Management,esign a system to predict facial attributes embedding a biologically-inspired network architecture, the HMAX. The architecture is tailored to predict attributes with different textural information and conveying different semantic meaning, such as attributes related and unrelated to the subject’s ide作者: mortuary 時(shí)間: 2025-3-29 08:08
Richard Brook Cathcart,Viorel Badesculy discussing some deep Learning architectures. Furthermore, the paper outlines the challenges and existing resources to perform a multimodal emotion recognition which may improve performances by combining at least two unimodal approaches. architecture to perform multimodal emotion recognition.作者: FEIGN 時(shí)間: 2025-3-29 14:32 作者: 察覺(jué) 時(shí)間: 2025-3-29 17:48
Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBraer of analyzed sections, this requires to employ high-performance computing. Based on the serial section delineations, high-resolution 3D reconstruction was performed at 20?μm isotropic resolution of the BigBrain model. The 3D reconstruction shows the shape of the human LGB and its sublayers for the