Results 71 to 80 of about 1,645,295 (287)

Deep Neural Networks in Computational Neuroscience [PDF]

, 2017
SummaryThe goal of computational neuroscience is to find mechanistic explanations of how the nervous system processes information to give rise to cognitive function and behaviour. At the heart of the field are its models, i.e. mathematical and computational descriptions of the system being studied, which map sensory stimuli to neural responses and/or ...
Kietzmann, Tim C, McClure, Patrick, Kriegeskorte, Nikolaus   +2 more
openaire   +2 more sources

A decade of adversarial examples: a survey on the nature and understanding of neural network non-robustness

Компьютерная оптика
Adversarial examples, in the context of computer vision, are inputs deliberately crafted to deceive or mislead artificial neural networks. These examples exploit vulnerabilities in neural networks, resulting in minimal alterations to the original input ...
A.V. Trusov, E.E. Limonova, V.V. Arlazarov   +2 more
doaj   +1 more source

Computational Capabilities of Graph Neural Networks

IEEE Transactions on Neural Networks, 2009
In this paper, we will consider the approximation properties of a recently introduced neural network model called graph neural network (GNN), which can be used to process-structured data inputs, e.g., acyclic graphs, cyclic graphs, and directed or undirected graphs.
SCARSELLI F., GORI M., TSOI A. C., HAGENBUCHNER M., MONFARDINI G.   +4 more
openaire   +5 more sources

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

Effects of Face and Background Color on Facial Expression Perception

Frontiers in Psychology, 2018
Detecting others’ emotional states from their faces is an essential component of successful social interaction. However, the ability to perceive emotional expressions is reported to be modulated by a number of factors.
Tetsuto Minami, Kae Nakajima, Kae Nakajima, Shigeki Nakauchi   +3 more
doaj   +1 more source

A primer on deep learning and convolutional neural networks for clinicians

Insights into Imaging, 2021
Deep learning is nowadays at the forefront of artificial intelligence. More precisely, the use of convolutional neural networks has drastically improved the learning capabilities of computer vision applications, being able to directly consider raw data ...
Lara Lloret Iglesias, Pablo Sanz Bellón, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda, David Rodríguez González, José A. Vega, Andrés A. González Mandly, José A. Parra Blanco   +7 more
doaj   +1 more source

A review of convolutional neural networks in computer vision

Artificial Intelligence Review
In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convolutional neural ...
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han, Muhammet Deveci, Milan Parmar   +5 more
semanticscholar   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

Review of Vision-based Neural Network 3D Dynamic Gesture Recognition Methods [PDF]

Jisuanji kexue
Dynamic gesture recognition,as an important means of human-computer interaction,has received widespread attention.Among them,the visual-based recognition method has become the preferred choice for the new generation of human-computer interaction due to ...
WANG Ruiping, WU Shihong, ZHANG Meihang, WANG Xiaoping
doaj   +1 more source

Fooling Examples: Another Intriguing Property of Neural Networks

Sensors, 2023
Neural networks have been proven to be vulnerable to adversarial examples; these are examples that can be recognized by both humans and neural networks, although neural networks give incorrect predictions.
Ming Zhang, Yongkang Chen, Cheng Qian
doaj   +1 more source