44 citations · 67 across the 9 of their papers we have counts for
9 papers
A minimal mechanism to generate long timescales without fine tuning
Kathryn McClain, Shivang Rawat, Mia Morrell +3
Long timescales in brain dynamics give rise to power law correlations measured in experiments. A simple linear recurrent neural network model can reproduce this power law behavior,…
Length-scale selection in adaptive transport networks
Sidney Holden, Mia C. Morrell, Geoffrey Vasil +1
Adaptive transport networks in biological and physical systems exhibit hierarchical organization, characteristic channel spacing, and robust scaling relations. Existing adaptive ne…
Nonreciprocal wave-mediated interactions power a classical time crystal
Mia C. Morrell, Leela Elliott, David G. Grier
An acoustic standing wave acts as a lattice of evenly spaced potential energy wells for sub-wavelength-scale objects. Trapped particles interact with each other by exchanging waves…
Scattered waves fuel emergent activity
Ella M. King, Mia C. Morrell, Jacqueline B. Sustiel +3
Active matter taps into external energy sources to power its own processes. Systems of passive particles ordinarily lack this capacity, but can become active if the constituent par…
Spectral holographic trapping: Creating dynamic force landscapes with polyphonic waves
Mia C. Morrell, Julianne Lee, David G. Grier
Acoustic trapping uses forces exerted by sound waves to transport small objects along specified trajectories in three dimensions. The structure of the acoustic force landscape is g…
Acoustodynamic mass determination: Accounting for inertial effects in acoustic levitation of granular materials
Mia C. Morrell, David G. Grier
Acoustic traps use forces exerted by sound waves to confine and transport small objects. The dynamics of an object moving in the force landscape of an acoustic trap can be signific…
Neural criticality from effective latent variables
Mia C. Morrell, Ilya Nemenman, Audrey J. Sederberg
Observations of power laws in neural activity data have raised the intriguing notion that brains may operate in a critical state. One example of this critical state is "avalanche c…
Particle image velocimetry analysis with simultaneous uncertainty quantification using Bayesian neural networks
Mia Morrell, Kyle Hickmann, Brandon Wilson
Particle image velocimetry (PIV) is an effective tool in experimental fluid mechanics to extract flow fields from images. Recently, convolutional neural networks (CNNs) have been u…
Latent dynamical variables produce signatures of spatiotemporal criticality in large biological systems
Mia C. Morrell, Audrey J. Sederberg, Ilya Nemenman
Understanding the activity of large populations of neurons is difficult due to the combinatorial complexity of possible cell-cell interactions. To reduce the complexity, coarse-gra…