AI Medical Compendium Journal:
Physical review. E, Statistical, nonlinear, and soft matter physics

Showing 1 to 10 of 11 articles

Microstructural view of burrowing with a bioinspired digging robot.

Physical review. E, Statistical, nonlinear, and soft matter physics
RoboClam is a burrowing technology inspired by Ensis directus, the Atlantic razor clam. Atlantic razor clams should only be strong enough to dig a few centimeters into the soil, yet they burrow to over 70 cm. The animal uses a clever trick to achieve...

Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.

Physical review. E, Statistical, nonlinear, and soft matter physics
The impact of connectivity and individual dynamics on the basin stability of the burst synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is studied. It is shown that there are rewiring probabilities correspond...

Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Physical review. E, Statistical, nonlinear, and soft matter physics
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred...

Regular graphs maximize the variability of random neural networks.

Physical review. E, Statistical, nonlinear, and soft matter physics
In this work we study the dynamics of systems composed of numerous interacting elements interconnected through a random weighted directed graph, such as models of random neural networks. We develop an original theoretical approach based on a combinat...

Signatures of infinity: Nonergodicity and resource scaling in prediction, complexity, and learning.

Physical review. E, Statistical, nonlinear, and soft matter physics
We introduce a simple analysis of the structural complexity of infinite-memory processes built from random samples of stationary, ergodic finite-memory component processes. Such processes are familiar from the well known multiarm Bandit problem. We c...

Advanced mean-field theory of the restricted Boltzmann machine.

Physical review. E, Statistical, nonlinear, and soft matter physics
Learning in restricted Boltzmann machine is typically hard due to the computation of gradients of log-likelihood function. To describe the network state statistics of the restricted Boltzmann machine, we develop an advanced mean-field theory based on...

Equivalence of phase-oscillator and integrate-and-fire models.

Physical review. E, Statistical, nonlinear, and soft matter physics
A quantitative comparison of various classes of oscillators (integrate-and-fire, Winfree, and Kuramoto-Daido type) is performed in the weak-coupling limit for a fully connected network of identical units. An almost perfect agreement is found, with on...

Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks.

Physical review. E, Statistical, nonlinear, and soft matter physics
The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informative of several stability and dynamical properties of network activity. Existing results for eigenspectra of sparse asymmetric random matrices neglect...

Magnetization directions and geometries of helical microswimmers for linear velocity-frequency response.

Physical review. E, Statistical, nonlinear, and soft matter physics
Recently, there has been much progress in creating microswimmers or microrobots capable of controlled propulsion in fluidic environments. These microswimmers have numerous possible applications in biomedicine, microfabrication, and sensing. One type ...

Stochastic synchronization of neural activity waves.

Physical review. E, Statistical, nonlinear, and soft matter physics
We demonstrate that waves in distinct layers of a neuronal network can become phase locked by common spatiotemporal noise. This phenomenon is studied for stationary bumps, traveling waves, and breathers. A weak noise expansion is used to derive an ef...