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相关论文: The impact of cancer on the neural activity

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We propose a computational model of neuron, called firing cell (FC), properties of which cover such phenomena as attenuation of receptors for external stimuli, delay and decay of postsynaptic potentials, modification of internal weights due…

神经与进化计算 · 计算机科学 2017-04-24 Jacek Bialowas , Beata Grzyb , Pawel Poszumski

Malignant cancers that lead to fatal outcomes for patients may remain dormant for very long periods of time. Although individual mechanisms such as cellular dormancy, angiogenic dormancy and immunosurveillance have been proposed, a…

生物物理 · 物理学 2014-10-20 Duyu Chen , Yang Jiao , Salvatore Torquato

Most neurons in the primary visual cortex initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. The functional consequences of adaptation are unclear. Typically a reduction of firing rate…

神经元与认知 · 定量生物学 2011-03-15 J. M. Cortes , D. Marinazzo , P. Series , M. W. Oram , T. J. Sejnowski , M. C. W. van Rossum

Tumor growth from a single transformed cancer cell up to a clinically apparent mass spans many spatial and temporal orders of magnitude. Implementation of cellular automata simulations of such tumor growth can be straightforward but…

定量方法 · 定量生物学 2013-09-25 Jan Poleszczuk , Heiko Enderling

Stimulus from the environment that guides behavior and informs decisions is encoded in the firing rates of neural populations. Each neuron in the populations, however, does not spike independently: spike events are correlated from cell to…

神经元与认知 · 定量生物学 2012-07-24 Nicholas Cain , Eric Shea-Brown

The understanding of the macroscopic phenomenological models of the population growth at a microscopic level is important to predict the population behaviors emerged from the interactions between the individuals. In this work we consider…

种群与进化 · 定量生物学 2017-11-23 Yong Chen

Primary tumors infrequently lead to demise of cancer patients; instead, mortality and a significant degree of morbidity result from the growth of secondary tumors in distant organs (metastasis). It is well-known that malignant tumors induce…

组织与器官 · 定量生物学 2015-10-09 Arianna Bianchi , Konstantinos Syrigos , Georgios Lolas

Neurons within a population are strongly correlated, but how to simply capture these correlations is still a matter of debate. Recent studies have shown that the activity of each cell is influenced by the population rate, defined as the…

神经元与认知 · 定量生物学 2016-12-26 Christophe Gardella , Olivier Marre , Thierry Mora

Understanding how microenvironmental heterogeneity influences tumor progression is essential for advancing both cancer biology and therapeutic strategies. In this study, we develop a cellular automata (CA) model to simulate tumor growth…

细胞行为 · 定量生物学 2026-01-26 Yue Deng , Mingjing Li , Jinzhi Lei

Realistic modeling of brain involves large number of neurons. The important question is how this size affects transmission efficiency? Here, these issue is studied in terms of Shannon's Theory. Mutual Information between input and output…

神经元与认知 · 定量生物学 2023-07-26 Bartosz Paprocki , Agnieszka Pregowska , Janusz Szczepanski

An influence of a radio-frequency electric field on glioma - brain cancer development is considered. A specific task emerging here is whether this new medical technology is effective against invasive cells with a high motility, when…

细胞行为 · 定量生物学 2015-06-19 A. Iomin

We investigate the dynamics of a neural network where each neuron evolves according to the combined effects of deterministic integrate-and-fire dynamics and purely inhibitory coupling with K randomly-chosen "neighbors". The inhibition…

适应与自组织系统 · 物理学 2009-11-07 P. L. Krapivsky , S. Redner

We study the dynamic range of a cellular automaton model for a neuronal network with electrical and chemical synapses. The neural network is separated into two layers, where one layer corresponds to inhibitory, and the other corresponds to…

适应与自组织系统 · 物理学 2015-06-23 F. S. Borges , E. L. Lameu , A. M. Batista , K. C. Iarosz , M. S. Baptista , R. L. Viana

In this paper, we examine the effects of correlated Gaussian noise on a two-dimensional neuronal network that is locally modeled by the Rulkov map. More precisely, we study the effects of the noise correlation on the variations of the mean…

无序系统与神经网络 · 物理学 2010-09-23 Xiaojuan Sun , Matjaz Perc , Qishao Lu , Jürgen Kurths

We study the joint effect of thermal bath fluctuations and an external noise tuning activity of cytotoxic cells on the triggered immune response in a growing cancerous tissue. The immune response is assumed to be primarily mediated by…

种群与进化 · 定量生物学 2015-06-26 Anna Ochab-Marcinek , Ewa Gudowska-Nowak

In this paper, we clarify the mechanisms underlying a general phenomenon present in pulse-coupled heterogeneous inhibitory networks: inhibition can induce not only suppression of the neural activity, as expected, but it can also promote…

神经元与认知 · 定量生物学 2017-05-23 David Angulo-Garcia , Stefano Luccioli , Simona Olmi , Alessandro Torcini

The neural mechanism of memory has a very close relation with the problem of representation in artificial intelligence. In this paper a computational model was proposed to simulate the network of neurons in brain and how they process…

神经元与认知 · 定量生物学 2020-12-02 Hui Wei

Novel experimental techniques reveal the simultaneous activity of larger and larger numbers of neurons. As a result there is increasing interest in the structure of cooperative -- or correlated -- activity in neural populations, and in the…

神经元与认知 · 定量生物学 2015-05-30 James Trousdale , Yu Hu , Eric Shea-Brown , Krešimir Josić

Mounting evidence in recent years suggests that astrocytes, a sub-type of glial cells, not only serve metabolic and structural support for neurons and synapses but also play critical roles in regulation of proper functioning of the nervous…

神经元与认知 · 定量生物学 2022-05-18 Tugba Palabas , Andre Longtin , Dibakar Ghosh , Muhammet Uzuntarla

The impairment of cognitive function in Alzheimer's is clearly correlated to synapse loss. However, the mechanisms underlying this correlation are only poorly understood. Here, we investigate how the loss of excitatory synapses in sparsely…

神经元与认知 · 定量生物学 2021-01-27 Claudia Bachmann , Tom Tetzlaff , Renato Duarte , Abigail Morrison
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