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Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales, and produce emergent…

神经元与认知 · 定量生物学 2016-12-26 Danielle S. Bassett , Ankit N. Khambhati , Scott T. Grafton

Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication…

社会与信息网络 · 计算机科学 2020-12-22 Ece C. Mutlu , Toktam A. Oghaz , Amirarsalan Rajabi , Ivan Garibay

While statistical analysis of a single network has received a lot of attention in recent years, with a focus on social networks, analysis of a sample of networks presents its own challenges which require a different set of analytic tools.…

统计方法学 · 统计学 2019-10-23 Jesús D. Arroyo-Relión , Daniel Kessler , Elizaveta Levina , Stephan F. Taylor

This paper describes some biologically-inspired processes that could be used to build the sort of networks that we associate with the human brain. New to this paper, a 'refined' neuron will be proposed. This is a group of neurons that by…

人工智能 · 计算机科学 2018-02-06 Kieran Greer

In the last decade, network science has shed new light both on the structural (anatomical) and on the functional (correlations in the activity) connectivity among the different areas of the human brain. The analysis of brain networks has…

物理与社会 · 物理学 2017-04-18 Federico Battiston , Vincenzo Nicosia , Mario Chavez , Vito Latora

Social media are digitalising massive amounts of users' cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating cognitive phenomena like perception, personality and…

计算机与社会 · 计算机科学 2021-02-26 Massimo Stella

At the inception of human brain mapping, two principles of functional anatomy underwrote most conceptions - and analyses - of distributed brain responses: namely functional segregation and integration. There are currently two main…

神经元与认知 · 定量生物学 2020-07-21 Karl J. Friston , Erik D. Fagerholm , Tahereh S. Zarghami , Thomas Parr , Inês Hipólito , Loïc Magrou , Adeel Razi

Social network analysis can answer research questions such as why or how individuals interact or form relationships and how those relationships impact other outcomes. Despite the breadth of methods available to address psychological…

社会与信息网络 · 计算机科学 2024-10-02 Tracy Sweet , Selena Wang

Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on functional…

There has been huge interest in studying human brain connectomes inferred from different imaging modalities and exploring their relationship with human traits, such as cognition. Brain connectomes are usually represented as networks, with…

机器学习 · 统计学 2021-09-14 Meimei Liu , Zhengwu Zhang , David B. Dunson

The brain is a highly complex system. Most of such complexity stems from the intermingled connections between its parts, which give rise to rich dynamics and to the emergence of high-level cognitive functions. Disentangling the underlying…

神经元与认知 · 定量生物学 2023-08-14 Vito Dichio , Fabrizio De Vico Fallani

Functional brain network analysis has become an indispensable tool for brain disease analysis. It is profoundly impacted by deep learning methods, which can characterize complex connections between ROIs. However, the research on foundation…

图像与视频处理 · 电气工程与系统科学 2025-08-08 Yifei Tang , Hongjie Jiang , Changhong Jing , Hieu Pham , Shuqiang Wang

Functional connectivity is a key approach to investigate oscillatory activities of the brain that provides important insights on the underlying dynamic of neuronal interactions and that is mostly applied for brain activity analysis.…

神经元与认知 · 定量生物学 2022-02-17 Marie-Constance Corsi , Sylvain Chevallier , Fabrizio De Vico Fallani , Florian Yger

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer…

神经元与认知 · 定量生物学 2020-07-28 J. A. Gaxiola-Tirado

Brain structural networks are often represented as discrete adjacency matrices with elements summarizing the connectivity between pairs of regions of interest (ROIs). These ROIs are typically determined a-priori using a brain atlas. The…

统计计算 · 统计学 2023-08-11 William Consagra , Martin Cole , Xing Qiu , Zhengwu Zhang

During the last few years, intensive research efforts are being done in the field of brain interfaces to extract neuro-information from the signals representing neuronal activities in the human brain. Recent development of brain-to-computer…

信号处理 · 电气工程与系统科学 2019-12-30 Dick Carrillo Melgarejo , Renan Moioli , Pedro Nardelli

Graphs are quickly emerging as a leading abstraction for the representation of data. One important application domain originates from an emerging discipline called "connectomics". Connectomics studies the brain as a graph; vertices…

In recent years, several studies have provided insight on the functioning of the brain which consists of neurons and form networks via interconnection among them by synapses. Neural networks are formed by interconnected systems of neurons,…

神经元与认知 · 定量生物学 2021-01-22 Martin C. Nwadiugwu

Novel computing hardwares are necessary to keep up with today's increasing demand for data storage and processing power. In this research project, we turn to the brain for inspiration to develop novel computing substrates that are…

With rapid advances in neuroimaging techniques, the research on brain disorder identification has become an emerging area in the data mining community. Brain disorder data poses many unique challenges for data mining research. For example,…

机器学习 · 计算机科学 2015-08-06 Bokai Cao , Xiangnan Kong , Philip S. Yu