Search Results for author: Adam Charles

Found 6 papers, 1 papers with code

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability

no code implementations28 Apr 2024 Noga Mudrik, Eva Yezerets, Yenho Chen, Christopher Rozell, Adam Charles

Such systems, often modeled as dynamical systems, typically exhibit noisy high-dimensional and non-stationary temporal behavior that renders their identification challenging.

Time Series

Deep and shallow data science for multi-scale optical neuroscience

no code implementations13 Feb 2024 Gal Mishne, Adam Charles

Optical imaging of the brain has expanded dramatically in the past two decades.

Matrix-normal models for fMRI analysis

1 code implementation8 Nov 2017 Michael Shvartsman, Narayanan Sundaram, Mikio C. Aoi, Adam Charles, Theodore C. Wilke, Jonathan D. Cohen

We show how the matrix-variate normal (MN) formalism can unify some of these methods into a single framework.

Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks

no code implementations26 May 2016 Adam Charles, Dong Yin, Christopher Rozell

In most existing analyses, the short-term memory (STM) capacity results conclude that the ESN network size must scale linearly with the input size for unstructured inputs.

Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization

no code implementations22 Jul 2015 Adam Charles, Aurele Balavoine, Christopher Rozell

Taken together, the algorithms presented in this paper represent the first strong performance analysis of dynamic filtering algorithms for time-varying sparse signals as well as state-of-the-art performance in this emerging application.

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