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Found 10 papers, 2 papers with code
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain
Recent analyses combining advanced theoretical techniques and high-quality data from thousands of simultaneously recorded neurons provide strong support for the hypothesis that neural dynamics operate near the edge of instability across regions in the brain.
Soft trade-offs and the stochastic emergence of diversification in E. coli evolution experiments
This introduces a natural new source of stochasticity which allows one to account for the empirically observed variability as well as to make predictions for the likelihood of evolutionary branching to be observed, thus helping to bridge the gap between theory and experiments.
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware
The extent of memory about past inputs is commonly quantified by the autocorrelation time of collective dynamics.
Modular architecture facilitates noise-driven control of synchrony in neuronal networks
Brain functions require both segregated processing of information in specialized circuits, as well as integration across circuits to perform high-level information processing.
The broad edge of synchronisation: Griffiths effects and collective phenomena in brain networks
We analyse different routes (bifurcations) to synchronisation and stress the relevance of 'hybrid-type transitions' to generate rich dynamical patterns.
Phenotypic-dependent variability and the emergence of tolerance in bacterial populations
Here, we develop a parsimonious individual-based model mimicking the actual demographic processes of the experimental setup.
Optimal input representation in neural systems at the edge of chaos
Shedding light onto how biological systems represent, process and store information in noisy environments is a key and challenging goal.
Measles-induced immune amnesia and its effects in concurrent epidemics
In particular, the transitions from a quiescent state into these novel phases can become rather abrupt in some cases that we specifically analyze.
Statistical Mechanics Physics and Society Populations and Evolution
Limited role of spatial self-structuring in emergent trade-offs during pathogen evolution
Pathogen transmission and virulence are main evolutionary variables broadly assumed to be linked through trade-offs.
Populations and Evolution
Griffiths phases and the stretching of criticality in brain networks
Hallmarks of criticality, such as power-laws and scale invariance, have been empirically found in cortical networks and it has been conjectured that operating at criticality entails functional advantages, such as optimal computational capabilities, memory, and large dynamical ranges.
Disordered Systems and Neural Networks Neurons and Cognition
