412 citations · 2.3k across the 37 of their papers we have counts for
37 papers
Input-driven circuit reconfiguration in critical recurrent neural networks
Marcelo O. Magnasco
Changing a circuit dynamically, without actually changing the hardware itself, is called reconfiguration, and is of great importance due to its manifold technological applications.…
On the dynamics of convolutional recurrent neural networks near their critical point
Aditi Chandra, Marcelo O. Magnasco
We examine the dynamical properties of a single-layer convolutional recurrent network with a smooth sigmoidal activation function, for small values of the inputs and when the convo…
Convolutional unitary or orthogonal recurrent neural networks
Marcelo O. Magnasco
Recurrent neural networks are extremely powerful yet hard to train. One of their issues is the vanishing gradient problem, whereby propagation of training signals may be exponentia…
Masks and COVID-19: a causal framework for imputing value to public-health interventions
Andres Babino, Marcelo O. Magnasco
During the COVID-19 pandemic, the scientific community developed predictive models to evaluate potential governmental interventions. However, the analysis of the effects these inte…
A Center Manifold Reduction Technique for a System of Randomly Coupled Oscillators
Dimitrios Moirogiannis, Keith Hayton, Marcelo Magnasco
In dynamical systems theory, a fixed point of the dynamics is called nonhyperbolic if the linearization of the system around the fixed point has at least one eigenvalue with zero r…
A Time Domain Acoustic Model for the Production of Rodent Ultrasonic Vocalizations
Matthew Dornfeld, Marcelo Magnasco, Oreste Piro
Mammalian ultrasonic vocalization (USV) has been a subject of interest for decades. This interest has mainly been driven by the intelligence of dolphins and other odontocetes. Howe…