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Found 5 papers, 1 papers with code
Path Weight Sampling: Exact Monte Carlo Computation of the Mutual Information between Stochastic Trajectories
The principal idea is to use the master equation to evaluate the exact conditional probability of an individual output trajectory for a given input trajectory, and average this via Monte Carlo sampling in trajectory space to obtain the mutual information.
Eukaryotic gene regulation at equilibrium, or non?
The key question is therefore how this space can be navigated efficiently, to focus on mechanisms and models that are biologically relevant.
Statistical modeling of adaptive neural networks explains coexistence of avalanches and oscillations in resting human brain
Importantly, the inferred parameters correlate with model-independent signatures of "closeness to criticality", indicating that the coexistence of scale-specific (neural oscillations) and scale-free (neuronal avalanches) dynamics in brain activity occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.
Action at a distance in transcriptional regulation
There is increasing evidence that protein binding to specific sites along DNA can activate the reading out of genetic information without coming into direct physical contact with the gene.
Semiparametric energy-based probabilistic models
Probabilistic models can be defined by an energy function, where the probability of each state is proportional to the exponential of the state's negative energy.
