activity
20232026
most citedImage segmentation with traveling waves in an exactly solvable recurrent neural network

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

nlin.CD2026

Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks

Arthur S. Powanwe, Luisa H. B. Liboni, Anif N. Shikder +7

We study a network whose rich spatiotemporal dynamics have recently been shown to enable dynamics-based computation, including logic gates, short-term memory, and simple encryption…

cs.NE2026

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling

Anif N. Shikder, Ramit Dey, Sayantan Auddy +6

We establish a mathematical correspondence between state space models, a state-of-the-art architecture for capturing long-range dependencies in data, and an exactly solvable nonlin…

q-bio.QM2025

A mathematical language for linking fine-scale structure in spikes from hundreds to thousands of neurons with behaviour

Alexandra N. Busch, Roberto C. Budzinski, Federico W. Pasini +8

Recent advances in neural recording technology allow simultaneously recording action potentials from hundreds to thousands of neurons in awake, behaving animals. However, character…

cs.CV2023★ 1 cited

Image segmentation with traveling waves in an exactly solvable recurrent neural network

Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch +4

We study image segmentation using spatiotemporal dynamics in a recurrent neural network where the state of each unit is given by a complex number. We show that this network generat…

cs.NE2023★ 1 cited

An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network

Roberto C. Budzinski, Alexandra N. Busch, Samuel Mestern +7

We study a complex-valued neural network (cv-NN) with linear, time-delayed interactions. We report the cv-NN displays sophisticated spatiotemporal dynamics, including partially syn…