22 Result(s)
within
Luc Berthouze
English
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Article
Open AccessTowards Inferring Network Properties from Epidemic Data
Epidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and ...
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Article
Open AccessThe Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective
The contact structure of a population plays an important role in transmission of infection. Many ‘structured models’ capture aspects of the contact pattern through an underlying network or a mixing matrix. An ...
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Article
Open AccessEpidemic threshold in pairwise models for clustered networks: closures and fast correlations
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networks. For a large class of networks and dynamics, it is well studied and understood. However, it is less so for...
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Chapter and Conference Paper
Map** Structural Diversity in Networks Sharing a Given Degree Distribution and Global Clustering: Adaptive Resolution Grid Search Evolution with Diophantine Equation-Based Mutations
Methods that generate networks sharing a given degree distribution and global clustering can induce changes in structural properties other than that controlled for. Diversity in structural properties, in turn,...
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Article
Open AccessEdge-Based Compartmental Modelling of an SIR Epidemic on a Dual-Layer Static–Dynamic Multiplex Network with Tunable Clustering
The duration, type and structure of connections between individuals in real-world populations play a crucial role in how diseases invade and spread. Here, we incorporate the aforementioned heterogeneities into...
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Chapter and Conference Paper
A genetic algorithm-based approach to map** the diversity of networks sharing a given degree distribution and global clustering
The structure of a network plays a key role in the outcome of dynamical processes operating on it. Two prevalent network descriptors are the degree distribution and the global clustering. However, when generat...
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Chapter
Map** Out Emerging Network Structures in Dynamic Network Models Coupled with Epidemics
We consider the susceptible – infected – susceptible (SIS) epidemic on a dynamic network model with addition and deletion of links depending on node status. We analyse the resulting pairwise model using classi...
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Article
Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis
An adaptive network model using SIS epidemic propagation with link-type-dependent link activation and deletion is considered. Bifurcation analysis of the pairwise ODE approximation and the network-based stochasti...
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Article
Open AccessBeyond clustering: mean-field dynamics on networks with arbitrary subgraph composition
Clustering is the propensity of nodes that share a common neighbour to be connected. It is ubiquitous in many networks but poses many modelling challenges. Clustering typically manifests itself by a higher tha...
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Article
Open AccessIdentification of Criticality in Neuronal Avalanches: II. A Theoretical and Empirical Investigation of the Driven Case
The observation of apparent power laws in neuronal systems has led to the suggestion that the brain is at, or close to, a critical state and may be a self-organised critical system. Within the framework of sel...
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Article
Open AccessIdentification of Criticality in Neuronal Avalanches: I. A Theoretical Investigation of the Non-driven Case
In this paper, we study a simple model of a purely excitatory neural network that, by construction, operates at a critical point. This model allows us to consider various markers of criticality and illustrate ...
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Article
Open AccessAdaptive time-varying detrended fluctuations analysis: a new method for characterizing time-varying scaling parameters in physiological time series
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Article
Open AccessDetecting the presence of long-range temporal correlations in a time-varying measure of phase synchrony
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Article
Open AccessRole of three key developmental variables in the emergence of long-range temporal correlations in a network of spiking neurons without plasticity
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Article
Open AccessRole of STDP and heterogeneity in the emergence of long-range temporal correlations and frequency scaling in networks of LIF neurons
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Chapter and Conference Paper
Bifurcation Angles in Ant Foraging Networks: A Trade-Off between Exploration and Exploitation?
The distribution of bifurcation angles found in ant foraging networks has been shown to give polarity to the networks so that nest-bound ants reaching a bifurcation can choose the appropriate direction. In thi...
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Article
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing information from its input and m...
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Chapter
Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics
The study of how infants strapped in a Jolly Jumper learn to bounce can help clarify how they explore different ways of exploiting the dynamics of their movements. In this paper, we describe and discuss a set ...
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Chapter and Conference Paper
Interfacing Agents through Boundaries of Interaction Dynamics
We propose our scenario towards the first few stages of understanding the basic principles of human-robot interface. A problem that is applicable across many tasks. We view the problem as the structure of coup...
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Chapter and Conference Paper
Understanding Subjectivity: An Interactionist View
User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monol...
