Inverse problems in blood flow modeling: A review. [PDF]
Nolte D, Bertoglio C.
europepmc +1 more source
Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices
This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee +4 more
wiley +1 more source
DeBCR: a sparsity-efficient framework for image enhancement through a deep-learning-based solution to inverse problems. [PDF]
Li R +4 more
europepmc +1 more source
Structural engineering from an inverse problems perspective. [PDF]
Gallet A +9 more
europepmc +1 more source
ABSTRACT Orthogonal translation systems (OTSs) enable site‐specific incorporation of non‐canonical amino acids (ncAAs) and are central to genetic code expansion. Current engineering strategies typically rely on hyperstable aminoacyl tRNA synthetase (aaRS) scaffolds to tolerate destabilizing mutations required for substrate diversification.
Nikolaj G. Koch +4 more
wiley +1 more source
Learning latent hardening: enhancing deep learning with domain knowledge for material inverse problems. [PDF]
Tian Q +3 more
europepmc +1 more source
Span of regularization for solution of inverse problems with application to magnetic resonance relaxometry of the brain. [PDF]
Bi C, Ou MY, Bouhrara M, Spencer RG.
europepmc +1 more source
A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li +9 more
wiley +1 more source
Generative modelling meets Bayesian inference: a new paradigm for inverse problems. [PDF]
Oliviero-Durmus A +4 more
europepmc +1 more source
A Graph-Space Optimal Transport Approach Based on Kaniadakis κ-Gaussian Distribution for Inverse Problems Related to Wave Propagation. [PDF]
da Silva SLEF +3 more
europepmc +1 more source

