中文
相关论文

相关论文: Sources of Variance in Two-Photon Microscopy Neuro…

200 篇论文

Vacuum-stimulated Raman transitions are driven between two magnetic substates of a rubidium-87 atom strongly coupled to an optical cavity. A magnetic field lifts the degeneracy of these states, and the atom is alternately exposed to laser…

量子物理 · 物理学 2007-05-23 T. Wilk , S. C. Webster , H. P. Specht , G. Rempe , A. Kuhn

Nonlinear optical phenomena such as parametric amplification and frequency conversion are typically driven by external optical fields. Free electrons can also act as electromagnetic sources, offering unmatched spatial precision. Combining…

介观与纳米尺度物理 · 物理学 2025-08-04 Leila Prelat , Eduardo J. C. Dias , F. Javier García de Abajo

A simple model that replicates the dynamics of spiking and spiking-bursting activity of real biological neurons is proposed. The model is a two-dimensional map which contains one fast and one slow variable. The mechanisms behind generation…

混沌动力学 · 物理学 2009-11-07 Nikolai F. Rulkov

In this paper, we focus on identifying differentially activated brain regions using a light sheet fluorescence microscopy - a recently developed technique for whole-brain imaging. Most existing statistical methods solve this problem by…

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.…

In classical optics, Young's double-slit experiment with colored coherent light gives rise to individual interference fringes for each light frequency, referring to single-photon interference. However, two-photon double-slit interference…

量子物理 · 物理学 2017-09-11 De-Jian Zhang , Shuang Wu , Hong-Guo Li , Hai-Bo Wang , Jun Xiong , Kaige Wang

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have revolutionized artificial intelligence and shown significant promise in medical imaging by enabling robust performance with limited labeled…

图像与视频处理 · 电气工程与系统科学 2025-06-17 Salah Ghamizi , Georgia Kanli , Yu Deng , Magali Perquin , Olivier Keunen

Brain signals constitute the information that are processed by millions of brain neurons (nerve cells and brain cells). These brain signals can be recorded and analyzed using various of non-invasive techniques such as the…

神经元与认知 · 定量生物学 2022-01-13 Almabrok Essa , Hari Kotte

Neuronal systems maintain stable functions despite large variability in their physiological components. Ion channel expression, in particular, is highly variable in neurons exhibiting similar electrophysiological phenotypes, which poses…

神经元与认知 · 定量生物学 2026-05-13 Arthur Fyon , Alessio Franci , Pierre Sacré , Guillaume Drion

Plasticity is one of the most important properties of the nervous system, which enables animals to adjust their behavior to the ever-changing external environment. Changes in synaptic efficacy between neurons constitute one of the major…

神经元与认知 · 定量生物学 2018-01-23 Taishi Iwasaki , Hideitsu Hino , Masami Tatsuno , Shotaro Akaho , Noboru Murata

We analyze theoretically magnetoresistance of high mobility two-dimensional electron systems being illuminated by multiple radiation sources. In particular, we study the influence on the striking effect of microwave-induced resistance…

介观与纳米尺度物理 · 物理学 2015-05-28 Jesus Inarrea

We aim to investigate the impact of image and signal properties on visual attention mechanisms during a signal detection task in digital images. The application of insight yielded from this work spans many areas of digital imaging where…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Amar Kavuri , Howard C. Gifford , Mini Das

A core goal of functional neuroimaging is to study how the environment is processed in the brain. The mainstream paradigm involves concurrently measuring a broad spectrum of brain responses to a small set of environmental features…

神经元与认知 · 定量生物学 2021-06-14 Pedro F. da Costa , Rianne Haartsen , Elena Throm , Luke Mason , Anna Gui , Robert Leech , Emily J. H. Jones

Brain decoding involves the determination of a subject's cognitive state or an associated stimulus from functional neuroimaging data measuring brain activity. In this setting the cognitive state is typically characterized by an element of a…

机器学习 · 统计学 2015-04-14 Nicole Croteau , Farouk S. Nathoo , Jiguo Cao , Ryan Budney

Confocal and multi-photon microscopy are widely used for in-vivo fluorescence imaging of biological tissues such as the brain, offering non-invasive access up to ~1 mm depth without major loss in performance. A recently-developed…

Imaging neural activity in a behaving animal presents unique challenges in part because motion from an animal's movement creates artifacts in fluorescence intensity time-series that are difficult to distinguish from neural signals of…

神经元与认知 · 定量生物学 2022-10-05 Matthew S. Creamer , Kevin S. Chen , Andrew M. Leifer , Jonathan W. Pillow

Decoding human brain activities via functional magnetic resonance imaging (fMRI) has gained increasing attention in recent years. While encouraging results have been reported in brain states classification tasks, reconstructing the details…

人工智能 · 计算机科学 2017-07-12 Changde Du , Changying Du , Huiguang He

Strain engineering is widely used in material science to tune the (opto-)electronic properties of materials and enhance the performance of devices. Two-dimensional atomic crystals are a versatile playground to study the influence of strain,…

介观与纳米尺度物理 · 物理学 2019-03-08 Lukas Mennel , Marco M. Furchi , Stefan Wachter , Matthias Paur , Dmitry K. Polyushkin , Thomas Mueller

I report the result of a which-way experiment based on Young's double-slit experiment. It reveals which slit photons go through while retaining the (self) interference of all the photons collected. The idea is to image the slits using a…

量子物理 · 物理学 2016-04-07 Hu Zhan

Quantum memories for light, which allow the reversible transfer of quantum states between light and matter, are central to the development of quantum repeaters, quantum networks, and linear optics quantum computing. Significant progress has…