The role of sparsity in inverse problems for networks with nonlinear dynamics

DOI10.4310/CMS.2019.v17.n5.a6zbMath1434.94006MaRDI QIDQ2282325

Douglas Zhou, Victor J. Barranca, Gregor Kovačič

Publication date: 7 January 2020

Published in: Communications in Mathematical Sciences (Search for Journal in Brave)

zbMATH Keywords

inverse problemsnonlinear dynamicsneuronal networkssparsitycompressive sensingnetwork reconstruction

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Classical equilibrium statistical mechanics (general) (82B05) Systems biology, networks (92C42)

Related Items (1)

Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics

This page was built for publication: The role of sparsity in inverse problems for networks with nonlinear dynamics