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The biological membrane, which compartmentalizes the cell and its organelles, exhibit wide variety of macroscopic shapes of varying morphology and topology. A systematic understanding of the relation of membrane shapes to composition,…

生物物理 · 物理学 2011-09-23 N. Ramakrishnan , P. B. Sunil Kumar , John H. Ipsen

Analysis of structural and functional connectivity (FC) of human brains is of pivotal importance for diagnosis of cognitive ability. The Human Connectome Project (HCP) provides an excellent source of neural data across different regions of…

应用统计 · 统计学 2020-07-10 Satwik Acharyya , Zhengwu Zhang , Anirban Bhattacharya , Debdeep Pati

Various neurophysiological and cognitive functions are based on transferring information between spiking neurons via a complex system of synaptic connections. In particular, the capacity of presynaptic inputs to influence the postsynaptic…

神经元与认知 · 定量生物学 2018-10-30 Y. Dabaghian

Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photons or electrons. In contrast, X-rays can be used to image…

The cerebral cortex spontaneously displays different patterns of activity that evolve over time according to the brain state. Sleep, wakefulness, resting states, and attention are examples of a wide spectrum of physiological states that can…

The grid cells (GCs) of the medial entorhinal cortex (MEC) and place cells (PCs) of the hippocampus are key elements of the brain network for the metric representation of space. Currently, any of the existing theoretical models can explain…

神经元与认知 · 定量生物学 2015-07-01 Andrey Stepanyuk

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of structural brain change, as well as in discriminating…

神经元与认知 · 定量生物学 2019-02-21 Sevil Maghsadhagh , Anders Eklund , Hamid Behjat

We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a…

计算机视觉与模式识别 · 计算机科学 2022-12-15 Jiaxiang Jiang , Michael Goebel , Cezar Borba , William Smith , B. S. Manjunath

In studying structural inter-connections in the human brain, it is common to first estimate fiber bundles connecting different regions of the brain relying on diffusion MRI. These fiber bundles act as highways for neural activity and…

应用统计 · 统计学 2016-12-06 Zhengwu Zhang , Maxime Descoteaux , David B. Dunson

Since the lipid raft model was developed at the end of the last century, it became clear that the specific molecular arrangements of phospholipid assemblies within a membrane have profound implications in a vast range of physiological…

软凝聚态物质 · 物理学 2024-04-19 Alexander P. Fellows , Ben John , Martin Wolf , Martin Thämer

Detection and segmentation of the hippocampal structures in volumetric brain images is a challenging problem in the area of medical imaging. In this paper, we propose a two-stage 3D fully convolutional neural network that efficiently…

计算机视觉与模式识别 · 计算机科学 2019-02-13 Dengsheng Chen , Wenxi Liu , You Huang , Tong Tong , Yuanlong Yu

Creating a quantitative theory for the cortex presents challenges and raises questions. What are the significant scales--micro, meso, or macroscopic? What are the interactions--pairwise, higher order, or mean-field? And what control…

神经元与认知 · 定量生物学 2025-05-29 Nima Dehghani

Neurons transmit active potentials through axons, which are essential for the brain to function. In this study, the axonal networks of the murine brain were visualized with X-ray tomographic microscopy, also known as X-ray microtomography…

Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to represent both spatial and conceptual spaces, the mechanisms…

神经与进化计算 · 计算机科学 2026-05-18 Tianqiu Zhang , Muyang Lyu , Xiao Liu , Si Wu

We present an approach for the joint segmentation and grouping of similar components in anisotropic 3D image data and use it to segment neural tissue in serial sections electron microscopy (EM) images. We first construct a nested set of…

计算机视觉与模式识别 · 计算机科学 2011-09-20 Jan Funke , Björn Andres , Fred Hamprecht , Albert Cardona , Matthew Cook

Retrieval of episodic memory is a dynamical process in the large scale brain networks. In social groups, the neural patterns, associated to specific events directly experienced by single members, are encoded, recalled and shared by all…

混沌动力学 · 物理学 2018-05-15 Valentin S. Afraimovich , Michael A. Zaks , Mikhail I. Rabinovich

Neuroscience has long informed the development of artificial neural networks, but the success of modern architectures invites, in turn, the converse: can modern networks teach us lessons about brain function? Here, we examine the structure…

神经元与认知 · 定量生物学 2026-03-17 Peter Koenig , Mario Negrello

Cataloging the neuronal cell types that comprise circuitry of individual brain regions is a major goal of modern neuroscience and the BRAIN initiative. Single-cell RNA sequencing can now be used to measure the gene expression profiles of…

This paper continues the research that considers a new cognitive model based strongly on the human brain. In particular, it considers the neural binding structure of an earlier paper. It also describes some new methods in the areas of image…

人工智能 · 计算机科学 2018-12-11 Kieran Greer

This paper considers a process for the creation and subsequent firing of sequences of neuronal patterns, as might be found in the human brain. The scale is one of larger patterns emerging from an ensemble mass, possibly through some type of…

神经与进化计算 · 计算机科学 2020-04-07 Kieran Greer