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Individual brains vary greatly in morphology, connectivity and organization. The applicability of group-level parcellations is limited by the rapid development of precision medicine today because they do not take into account the variation…

神经元与认知 · 定量生物学 2024-07-02 Chengyi Li , Shan Yu , Yue Cui

The brain is composed of billions of neurons with virtually endless morphologies and ion channel compositions, resulting in unique extracellular waveforms. Nevertheless, almost all neuronal morphologies can be reduced to a simple…

神经元与认知 · 定量生物学 2026-01-12 Jérémie Sibille , Kai Lun Teh , Alexandra Tzilivaki , Dietmar Schmitz , Paula T. Kuokkanen

Markovian growth-fragmentation processes introduced by Bertoin model a system of growing and splitting cells in which the size of a typical cell evolves as a Markov process $X$ without positive jumps. We find that two growth-fragmentation…

概率论 · 数学 2020-02-05 Quan Shi

Recent studies suggest that the representations learned by large language models (LLMs) are partially aligned to those of the human brain. However, whether and why this alignment score arises from a similar sequence of computations remains…

机器学习 · 计算机科学 2025-12-02 Joséphine Raugel , Stéphane d'Ascoli , Jérémy Rapin , Valentin Wyart , Jean-Rémi King

Spatial heterogeneity is a hallmark of living systems, even at the molecular scale in individual cells. A key example is the partitioning of membrane-bound proteins via lipid domain formation or cytoskeleton-induced corralling. Yet the…

分子网络 · 定量生物学 2013-11-19 Andrew Mugler , Filipe Tostevin , Pieter Rein ten Wolde

The evolution of cognition is frequently discussed as the evolution of cognitive abilities or the evolution of some neuronal structures in the brain. However, since such traits or abilities are often highly complex, understanding their…

神经元与认知 · 定量生物学 2025-06-27 Arnon Lotem , Joseph Y. Halpern

Cortical folding pattern is a main characteristic of the geometry of the human brain which is formed by gyri (ridges) and sulci (grooves). Several biological hypotheses have suggested different mechanisms that attempt to explain the…

Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain region and automatically reading out the information encoded…

We show that in model neuronal cultures, where the probability of interneuronal connection formation decreases exponentially with increasing distance between the neurons, there exists a small number of spatial nucleation centers of a…

神经元与认知 · 定量生物学 2018-11-09 A. V. Paraskevov , D. K. Zendrikov

Social animals self-organise to create groups to increase protection against predators and productivity. One-to-one interactions are the building blocks of these emergent social structures and may correspond to friendship, grooming,…

物理与社会 · 物理学 2021-06-02 Luis E C Rocha , Jan Ryckebusch , Koen Schoors , Matthew Smith

Growth-fragmentation processes model systems of cells that grow continuously over time and then fragment into smaller pieces. Typically, on average, the number of cells in the system exhibits asynchronous exponential growth and, upon…

概率论 · 数学 2023-06-08 Emma Horton , Alexander R. Watson

Cortical circuits are characterized by exquisitely complex connectivity patterns that emerge during development from undifferentiated networks. The development of these circuits is governed by a combination of precise molecular cues that…

神经元与认知 · 定量生物学 2020-09-15 Joseph Olson , Gabriel Kreiman

We propose a working hypothesis supported by numerical simulations that brain networks evolve based on the principle of the maximization of their internal information flow capacity. We find that synchronous behavior and capacity of…

神经元与认知 · 定量生物学 2015-08-17 Chris G. Antonopoulos , Shambhavi Srivastava , Sandro E. de S. Pinto , Murilo S. Baptista

Many atlases used for brain parcellation are hierarchically organised, progressively dividing the brain into smaller sub-regions. However, state-of-the-art parcellation methods tend to ignore this structure and treat labels as if they are…

计算机视觉与模式识别 · 计算机科学 2020-09-17 Mark S. Graham , Carole H. Sudre , Thomas Varsavsky , Petru-Daniel Tudosiu , Parashkev Nachev , Sebastien Ourselin , M. Jorge Cardoso

We propose a new model of cluster growth according to which the probability that a new unit is placed in a point at a distance $r$ from the city center is a Gaussian with mean equal to the cluster radius and variance proportional to the…

物理与社会 · 物理学 2007-05-23 M. Pica Ciamarra , A. Coniglio

Quantifying the spatial organization of human settlements is fundamental to understanding the complexity of urban systems. However, the quantitative patterns of the distribution of villages, towns, and cities that lie between random and…

物理与社会 · 物理学 2023-07-06 Lei Dong

We introduce cluster dynamical models of conflicts in which only the largest cluster can be involved in an action. This mimics the situations in which an attack is planned by a central body, and the largest attack force is used. We study…

物理与社会 · 物理学 2010-01-19 Bosiljka Tadic , G. J. Rodgers

Many cortical areas increase in size considerably during postnatal development, progressively displacing neuronal cell bodies from each other. At present, little is known about how cortical growth affects the development of neuronal…

神经元与认知 · 定量生物学 2011-04-12 Wolfgang Keil , Karl-Friedrich Schmidt , Siegrid Loewel , Matthias Kaschube

Neurons in the primary visual cortex are more or less selective for the orientation of a light bar used for stimulation. A broad distribution of individual grades of orientation selectivity has in fact been reported in all species. A…

神经元与认知 · 定量生物学 2015-06-19 Sadra Sadeh , Stefan Rotter

Global brain activity self-organizes into discrete patterns characterized by distinct behavioral observables and modes of information processing. The human thalamocortical system is a densely connected network where local neural activation…