13 papers · ranked by Valyu relevance
Maria Letizia Bertotti, Giovanni Modanese
We generate correlated scale-free networks in the configuration model through a new rewiring algorithm that allows one to tune the Newman assortativity coefficient r and the average degree of the nearest neighbors K (in the range $-1\leqr\leq1$, $K\geq〈k〉$). At each attempted rewiring step, local variations $Δr$ and…
Ilias Rentzeperis, Cees van Leeuwen
Activity-dependent plasticity refers to a range of mechanisms for adaptively reshaping neuronal connections. We model their common principle in terms of adaptive rewiring of network connectivity, while representing neural activity by diffusion on the network: Where diffusion is intensive, shortcut connections are…
Raúl Luna, Jia Li, Roman Bauer, Cees van Leeuwen
Spontaneous retinal wave activity shaping the visual system is a complex neurodevelopmental phenomenon. Retinal ganglion cells are the hubs through which activity diverges throughout the visual system. We consider how these divergent hubs emerge, using an adaptively rewiring neural network model. Adaptive rewiring…
Jia Li, Ilias Rentzeperis, Cees van Leeuwen, Marieke Karlijn van Vugt
'Marieke Karlijn van Vugt'] Adaptive rewiring provides a basic principle of self-organizing connectivity in evolving neural network topology. By selectively adding connections to regions with intense signal flow and deleting underutilized connections, adaptive rewiring generates optimized brain-like, i.e. modular…
Ilias Rentzeperis, Cees van Leeuwen
Brain network connections rewire adaptively in response to neural activity. Adaptive rewiring may be understood as a process which, at its every step, is aimed at optimizing the efficiency of signal diffusion. In evolving model networks, this amounts to creating shortcut connections in regions with high diffusion and…
Magali Alexander Lopez-Chavira, Daniela Aguirre-Guerrero, Ricardo Marcelín-Jiménez, Luis Alberto Vásquez-Toledo + 1 more
'Ricardo Marcelín-Jiménez' 'Luis Alberto Vásquez-Toledo' 'Roberto Bernal-Jaquez'] We propose a distributed rewiring model which starts with a planar graph embedded into the Euclidean space and then behaves as a distributed system, where each node is provided with a set of dynamic links. The proposed rewiring evolves…
MohamamdHossein Manuel Haqiqatkhah, Cees van Leeuwen
Structural plasticity of the brain can be represented in a highly simplified form as adaptive rewiring, the relay of connections according to the spontaneous dynamic synchronization in network activity. Adaptive rewiring, over time, leads from initial random networks to brain-like complex networks, that is, networks…
Cristina Chueca Del Cerro, Jennifer Badham, Yang Lou
Social networks typically have skewed degree distributions and relatively high clustering and assortativity coefficients. Some studies have explored the relationships between these properties, but have given limited attention to social networks and have found conflicting evidence. To expand our understanding of the…
Sergey A. Lobov, Ekaterina S. Berdnikova, Alexey I. Zharinov, Dmitry P. Kurganov + 4 more
'Dmitry P. Kurganov' 'Victor B. Kazantsev' 'Fabrizio Capuani' 'Cosimo Lupo' 'Chiara De Luca'] Mathematical and computer simulation of learning in living neural networks have typically focused on changes in the efficiency of synaptic connections represented by synaptic weights in the models. Synaptic plasticity is…
Thibaut Morel-Journel, Pauline Ezanno, Elisabeta Vergu
Cattle tracing databases have become major resources for representing demographic processes of livestock and assessing potential risk of infections spreading by trade. The herds registered in these databases are nodes of a network of commercial movements, which can be altered to lower the risk of disease transmission.…
Jing Qu, Sheng-Jun Wang, Marko Jusup, Zhen Wang
Random rewiring is used to generate null networks for the purpose of analyzing the topological properties of scale-free networks, yet the effects of random rewiring on the degree correlation are subject to contradicting interpretations in the literature. We comprehensively analyze the degree correlation of randomly…
Petruț A. Bogdan, Andrew G. D. Rowley, Oliver Rhodes, Steve B. Furber
'Steve B. Furber'] The structural organization of cortical areas is not random, with topographic maps commonplace in sensory processing centers. This topographical organization allows optimal wiring between neurons, multimodal sensory integration, and performs input dimensionality reduction. In this work, a model of…
Bowen Hou, Dali Xu, Fangfa Fu, Bing Yang + 2 more
In advanced multicore embedded systems, network-on-chip (NoC) is vital for core communication. With a rise in the number of cores, the incidence of core failures rises, potentially affecting system performance and stability. To address the challenges associated with core failures in network-on-chip (NoC) systems…