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Previous simulation studies by Menzel et al. [Phys. Rev. X 10, 021002 (2020)] have shown that scattering patterns of light transmitted through artificial nerve fiber constellations contain valuable information about the tissue substructure…

医学物理 · 物理学 2020-07-30 Miriam Menzel , Silvania F. Pereira

Every day, the human brain processes an immense volume of visual information, relying on intricate neural mechanisms to perceive and interpret these stimuli. Recent breakthroughs in functional magnetic resonance imaging (fMRI) have enabled…

计算机视觉与模式识别 · 计算机科学 2023-05-22 Matteo Ferrante , Furkan Ozcelik , Tommaso Boccato , Rufin VanRullen , Nicola Toschi

In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual object recognition, detection and segmentation. These methods have also been…

计算机视觉与模式识别 · 计算机科学 2019-07-30 Jose Bernal , Kaisar Kushibar , Daniel S. Asfaw , Sergi Valverde , Arnau Oliver , Robert Martí , Xavier Lladó

Brain-mapping techniques have proven to be vital in understanding the molecular, cellular, and functional mechanisms of the brain. Normal anatomical imaging can provide structural information on certain abnormalities in the brain. However…

新兴技术 · 计算机科学 2013-01-03 Nivedita Daimiwal , M. Sundhararajan , Revati Shriram

The white matter of the brain is organised into axonal bundles that support long-range neural communication. Although diffusion MRI (dMRI) enables detailed mapping of these pathways through tractography, how white matter pathways directly…

神经元与认知 · 定量生物学 2026-02-24 Yifei Sun , James M. Shine , Robert D. Sanders , Robin F. H. Cash , Sharon L. Naismith , Fernando Calamante , Jinglei Lv

Conventional neural network models (CNN), loosely inspired by the primate visual system, have been shown to predict neural responses in the visual cortex. However, the relationship between CNNs and the visual system is incomplete due to…

计算机视觉与模式识别 · 计算机科学 2021-08-24 Reem Abdel-Salam

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

Herein we report the first in-human transcranial imaging of brain function using photoacoustic computed tomography. Functional responses to benchmark motor tasks were imaged on both the skull-less and the skull-intact hemispheres of a…

It is a mystery how the brain decodes color vision purely from the optic nerve signals it receives, with a core inferential challenge being how it disentangles internal perception with the correct color dimensionality from the unknown…

神经与进化计算 · 计算机科学 2025-03-04 Atsunobu Kotani , Ren Ng

The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics…

Recent cellular-level volumetric brain reconstructions have revealed high levels of anatomic complexity. Determining which structural aspects of the brain to focus on, especially when comparing with computational models and other organisms,…

无序系统与神经网络 · 物理学 2023-09-29 Helen S. Ansell , István A. Kovács

The thalamus is a subcortical structure of central importance to brain function, which is organized in smaller nuclei with specialized roles. Despite significant functional and clinical relevance, locating and distinguishing the different…

What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure…

神经元与认知 · 定量生物学 2015-06-19 Luiz Pessoa

To understand Working of Human Brain measurements related to the brain function are required. These measurements should be possibly non-invasive. Brain should be disturbed as less as possible during the measurement. Integration of various…

新兴技术 · 计算机科学 2015-06-16 Revati Shriram , M. Sundhararajan , Nivedita Daimiwal

Manual preparation of tissue slices for microscopy imaging can introduce tissue tears and overlaps. Typically, further digital processing algorithms such as registration and 3D reconstruction from tissue image stacks cannot handle images…

计算机视觉与模式识别 · 计算机科学 2019-05-23 Zahra Montazeri , Gopi M

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

Functional brain imaging allows measuring dynamic functionality in all brain regions. It is broadly used in clinical cognitive neuroscience as, well as in research. It will allow the observation of neural activities in the brain…

医学物理 · 物理学 2016-04-01 Saman Sarraf , Jian Sun

The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatio-temporal patterns of brain activity emerge…

神经元与认知 · 定量生物学 2014-05-27 Ariel Haimovici , Enzo Tagliazucchi , Pablo Balenzuela , Dante R. Chialvo

The central problem with understanding brain and mind is the neural code issue: understanding the matter of our brain as basis for the phenomena of our mind. The richness with which our mind represents our environment, the parsimony of…

神经元与认知 · 定量生物学 2018-11-06 Christoph von der Malsburg

The human braingraph, or connectome is a description of the connections of the brain: the nodes of the graph correspond to small areas of the gray matter, and two nodes are connected by an edge if a diffusion MRI-based workflow finds fibers…

神经元与认知 · 定量生物学 2015-07-02 Csaba Kerepesi , Balázs Szalkai , Bálint Varga , Vince Grolmusz