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Found 11 papers, 6 papers with code
Variational design of sensory feedback for powerstroke-recovery systems
Although the raison d'etre of the brain is the survival of the body, there are relatively few theoretical studies of closed-loop rhythmic motor control systems.
Pattern Forming Mechanisms of Color Vision
While our understanding of the way single neurons process chromatic stimuli in the early visual pathway has advanced significantly in recent years, we do not yet know how these cells interact to form stable representations of hue.
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes
Many natural and engineered systems can be modeled as discrete state Markov processes.
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves
In this work, we analyze the responses resulting from modulation of a localized input in each of three classes of model neural networks that have been recognized in the literature for their capacity to produce robust three-phase rhythms: coupled fast-slow oscillators, near-heteroclinic oscillators, and threshold-linear networks.
Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems
We established in \citep{WGCT2021} the tools for studying combined shape and timing responses of limit cycle systems under sustained perturbations and here apply them to study robustness of the neuromechanical model against increased mechanical load during swallowing.
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death Processes
Typically, we can only measure net growth rates, but the underlying density-dependent mechanisms that give rise to the observed dynamics can manifest in birth processes, death processes, or both.
Heteroclinic cycling and extinction in May-Leonard models with demographic stochasticity
May and Leonard (SIAM J. Appl.
A factor graph EM algorithm for inference of kinetic microstates from patch clamp measurements
We derive a factor graph EM (FGEM) algorithm, a technique that permits combined parameter estimation and statistical inference, to determine hidden kinetic microstates from patch clamp measurements.
Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica
Animals exhibit remarkable feats of behavioral flexibility and multifunctional control that remain challenging for robotic systems.
Linear Noise Approximation of Intensity-Driven Signal Transduction Channels
Biochemical signal transduction, a form of molecular communication, can be modeled using graphical Markov channels with input-modulated transition rates.
The Channel Capacity of Channelrhodopsin and Other Intensity-Driven Signal Transduction Receptors
Biological systems transduce signals from their surroundings through a myriad of pathways.
Information Theory Information Theory Molecular Networks
