28 citations · 56 across the 7 of their papers we have counts for
7 papers
Achieving Occam's Razor: Deep Learning for Optimal Model Reduction
Botond B Antal, Anthony G Chesebro, Helmut H Strey +2
All fields of science depend on mathematical models. Occam's razor refers to the principle that good models should exclude parameters beyond those minimally required to describe th…
The refractory period matters: unifying mechanisms of macroscopic brain waves
Corey Weistuch, Lilianne R. Mujica-Parodi, Ken Dill
The relationship between complex, brain oscillations and the dynamics of individual neurons is poorly understood. Here we utilize Maximum Caliber, a dynamical inference principle,…
Ground-truth resting-state signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics
Rajat Kumar, Liang Tan, Alan Kriegstein +4
The fMRI community has made great strides in decoupling neuronal activity from other physiologically induced T2* changes, using sensors that provide a ground-truth with respect to…
Inferring a network from dynamical signals at its nodes
Corey Weistuch, Luca Agozzino, Lilianne R. Mujica-Parodi +1
We give an approximate solution to the difficult inverse problem of inferring the topology of an unknown network from given time-dependent signals at the nodes. For example, we mea…
Unique Scales Preserve Self-Similar Integrate-and-Fire Functionality of Neuronal Clusters
Anar Amgalan, Patrick Taylor, Lilianne R. Mujica-Parodi +1
Identifying the brain's neuronal cluster size to be presented as nodes in a network computation is critical to both neuroscience and artificial intelligence, as these define the co…
Making Sense of Computational Psychiatry
LR Mujica-Parodi, HH Strey
In psychiatry, we often speak of constructing "models." Here we try to make sense of what such a claim might mean, starting with the most fundamental question: "What is (and isn't)…
Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks
D. J. DeDora, S. Nedic, P. Katti +6
Task-free connectivity analyses have emerged as a powerful tool in functional neuroimaging. Because the cross-correlations that underlie connectivity measures are sensitive to dist…