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The analysis of complex networks has revealed patterns of organization in a variety of natural and artificial systems, including neuronal networks of the brain at multiple scales. In this paper, we describe a novel analysis of the…

神经元与认知 · 定量生物学 2015-06-26 Luciano da F. Costa , Olaf Sporns

Anatomical connectivity between different regions in the brain can be mapped to a network representation, the connectome, where the intensities of the links, the weights, influence its structural resilience and the functional processes it…

神经元与认知 · 定量生物学 2025-04-09 Laia Barjuan , Muhua Zheng , M. Ángeles Serrano

Cognition is supported by neurophysiological processes that occur both in local anatomical neighborhoods and in distributed large-scale circuits. Recent evidence from network control theory suggests that white matter pathways linking…

神经元与认知 · 定量生物学 2016-06-30 John D. Medaglia , Shi Gu , Fabio Pasqualetti , Rebecca L. Ashare , Caryn Lerman , Joseph Kable , Danielle S. Bassett

The neuroimaging technique three-dimensional polarized light imaging (3D-PLI) provides a high-resolution reconstruction of nerve fibres in human post-mortem brains. The orientations of the fibres are derived from birefringence measurements…

It is a fundamental behavior that different individuals see the world in a largely similar manner. This is an essential basis for humans' ability to cooperate and communicate. However, what are the neuronal properties that underlie these…

神经元与认知 · 定量生物学 2024-07-12 Ofer Lipman , Shany Grossman , Doron Friedman , Yacov Hel-Or , Rafael Malach

Neuromorphic engineering is essentially the development of artificial systems, such as electronic analog circuits that employ information representations found in biological nervous systems. Despite being faster and more accurate than the…

神经与进化计算 · 计算机科学 2022-09-07 Arvind Subramaniam

High-resolution non-invasive 3D study of intact spine and spinal cord morphology on the level of complex vascular and neuronal organization is a crucial issue for the development of treatments for the injuries and pathologies of central…

医学物理 · 物理学 2017-03-01 I. Bukreeva , V. Asadchikov , A. Buzmakov , V. Grigoryev , A. Bravin , A. Cedola

Now published in Nature Human Behavior doi: https://doi.org/10.1038/s41562-025-02252-z Human vision is mediated by a complex interconnected network of cortical brain areas that jointly represent visual information. While these areas are…

神经元与认知 · 定量生物学 2025-06-26 Alessandro T. Gifford , Maya A. Jastrzębowska , Johannes J. D. Singer , Radoslaw M. Cichy

Identifying the physiological processes underlying the emergence and maintenance of consciousness is one of the most fundamental problems of neuroscience, with implications ranging from fundamental neuroscience to the treatment of patients…

神经元与认知 · 定量生物学 2019-07-29 Julien Modolo , Mahmoud Hassan , Fabrice Wendling , Pascal Benquet

Many AI models trained on natural images develop representations that resemble those of the human brain. However, the factors that drive this brain-model similarity remain poorly understood. To disentangle how the model, training and data…

Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Long-Term Memory and Short-Term Memory. The various types of…

神经元与认知 · 定量生物学 2019-05-07 Qazi Emad-Ul-Haq , Muhammad Hussain , Hatim Aboalsamh , Saeed Bamatraf , Aamir Saeed Malik , Hafeez Ullah Amin

This paper reports nano-CT analysis of brain tissues of schizophrenia and control cases. The analysis revealed that: (1) neuronal structures vary between individuals, (2) the mean curvature of distal neurites of the schizophrenia cases was…

In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface. Cortical neuroimaging measures hence can be modeled in spherical representation. In this work, we…

计算机视觉与模式识别 · 计算机科学 2018-12-20 Xinyang Feng , Jie Yang , Andrew F. Laine , Elsa D. Angelini

Cognitive neuroscience is enjoying rapid increase in extensive public brain-imaging datasets. It opens the door to large-scale statistical models. Finding a unified perspective for all available data calls for scalable and automated…

机器学习 · 统计学 2019-05-16 Arthur Mensch , Julien Mairal , Danilo Bzdok , Bertrand Thirion , Gaël Varoquaux

Human physical reasoning relies on internal "body" representations - coarse, volumetric approximations that capture an object's extent and support intuitive predictions about motion and physics. While psychophysical evidence suggests humans…

计算机视觉与模式识别 · 计算机科学 2025-12-02 Andrey Gizdov , Andrea Procopio , Yichen Li , Daniel Harari , Tomer Ullman

Neurological diseases and injuries present some of the greatest challenges in modern medicine, often causing irreversible and lifelong burdens in the people whom they afflict. These diagnoses have devastating consequences on millions of…

组织与器官 · 定量生物学 2015-04-06 Richard J. McMurtrey

Connected networks are a fundamental structure of neurobiology. Understanding these networks will help us elucidate the neural mechanisms of computation. Mathematically speaking these networks are `graphs' - structures containing objects…

神经元与认知 · 定量生物学 2020-10-20 Carl J. Nelson , Stephen Bonner

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections at macro scale. Over the last two decades, the study of brain connectivity using…

The brain can be regarded as a network: a connected system where nodes, or units, represent different specialized regions and links, or connections, represent communication pathways. From a functional perspective communication is coded by…

神经元与认知 · 定量生物学 2014-09-10 Fabrizio De Vico Fallani , Jonas Richiardi , Mario Chavez , Sophie Achard

X-ray micro tomography is a non-destructive, three-dimensional inspection technique applied across a vast range of fields and disciplines, ranging from research to industrial, encompassing engineering, biology and medical research.…